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Develop your Python machine learning skills with the latest techniques. Dive into NLP transformers, multimodal vision models, and best practices. Explore neural networks, clustering, and GPT with hands-on examples in PyTorch and TensorFlow.
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This latest edition emphasizes AI risk management, the AI/ML adoption journey, and the emerging field of generative AI, highlighting the increasing importance of developing secure and scalable ML platforms across industries.
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This book serves as a concise path toward cracking Kaggle competitions as well as an all-encompassing guide to upgrading your skills and career as a data scientist.
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This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design ML solutions for real-world trading challenges, an
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Explore the Databricks Data Intelligence Platform for developing and deploying ML data products. This book will help you build your expertise with projects, involving streaming, forecasting, image classification, and retrieval of augmented generation.
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Start your quest in quantum computing the right way with an understanding of the math that undergirds it, or come back to the math you may have missed when you started learning quantum computing. This book covers linear algebra, complex numbers, and probability - just enough for you to master all the math needed for quantum computing.
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Get to grips with ML lifecycle management and MLOps implementation for your organization. This book will give you comprehensive insights into MLOps coupled with real-world examples in Azure that will teach you how to write programs, train robust and scalable ML models, and build ML pipelines to train, deploy, and monitor models securely in producti
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This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights.
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Fully updated with PyTorch and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: transformers and graph neural networks.
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This book will help you explore how to implement different well-known machine learning algorithms with various C++ frameworks and libraries. You will cover basic to advanced machine learning concepts with practical and easy to follow examples. By the end of the book, you will be able to build various machine learning models with ease.
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Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This fully updated second edition will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.
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Bayesian inference uses probability distributions and Bayes' theorem to build flexible models. This book uses PyMC to abstract all mathematical and computational details from this process, allowing readers to solve a range of data science problems.
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Deep Learning for Time Series Cookbook covers several time series problems, and how to tackle them using deep learning in a set of coding recipes. These recipes will enable you to develop accurate forecasting models using the PyTorch ecosystem.
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With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun Re
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This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain.
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CompTIA Security+ Certification Guide makes the most complex Security+ concepts easy to understand despite having no prior knowledge. It offers exam tips in every chapter along with access to practical exercises and exam checklist that map to the exam objectives and it is the perfect study guide to help you pass CompTIA Security+ SY0-501 exam.
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Machine Learning for OpenCV 4, Second Edition will help the readers to implement and train machine learning algorithms with OpenCV 4 and scikit-learn in Python. By the end of this book, you will be able to build intelligent applications with OpenCV 4 using various optimization techniques for your machine learning algorithms.
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Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins and APIs without much code required.
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Introduction to Algorithms offers a detailed introduction to the world of algorithms. Perfect for those new to computer science, this book covers all fundamental concepts, helping readers understand & implement algorithms effectively.
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Learn the core concepts of linear algebra essential for machine learning. This course guides you through vectors, matrices and their applications culminating in principal component analysis, making it a perfect guide for beginners and professionals.
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This book is your complete guide to seamless ML operations on OpenShift. You’ll master MLOps concepts, explore OpenShift Data Science, Pachyderm, and Intel OpenVino, along with the provision, configuration, and operationalization of the MLOps platform.
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Discover the power of Conformal Prediction with the Practical Guide to Applied Conformal Prediction in Python. Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.
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The book helps you grasp images, text, audio, and tabular augmentation methods using real-world datasets from the Kaggle website. Throughout the chapters, you’ll discover augmentation concepts and techniques, a review of available open source augmentation libraries, and a reinforcement learning section through Python Notebook coding exercise
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Being the first book in the market to dive deep into the Transformers, this book is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers with Python, PyTorch, and TensorFlow
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A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language
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The Deep Learning with Keras Workshop outlines a simple and straightforward way for you to understand deep learning with Keras. Starting with basic concepts such as data preprocessing, this book equips you with all the tools and techniques required for training your neural networks to solve various modeling problems.
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With expert guidance and real-world examples, The Machine Learning Workshop gets you up and running with programming machine learning algorithms. By showing you how to leverage scikit-learn's flexibility, it teaches you all the skills you need to use machine learning to solve real-world problems.
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A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques.
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This third edition is updated with TensorFlow 2 and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: reinforcement learning and generative adversarial networks.
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With this book, you will learn how to perform various machine learning tasks in different environments. You’ll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms using complex datasets and optimized techniques.
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This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart predictions
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With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.
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This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden
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Mastering Arduino is a practical, no-nonsense guide teaching you the electronics and programming skills that you need to create advanced Arduino projects. It is packed full of real-world projects leading up to the final project where you will build and control a basic robot.
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This book will introduce the AI algorithms to the beginners and will take on implementing AI tasks using various Java-based libraries. It will take a practical approach to get you up and running with building smarter applications using Java programming knowledge.
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Artificial Intelligence is arguably the most exciting and disruptive field of robotics which makes a man-made machine intelligent. This book will fulfill this vision by introducing various machine learning concepts to make your robot efficient. It will also equip your robot to make decisions, learn, and adapt based on its environment.
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This book demonstrates various machine learning techniques and their implementation in JavaScript. Build models to power your applications with smart, predictive features. From predicting future prices, analyzing sentiments to medical diagnosis, this book shows you how to use the power of JavaScript to build efficient machine learning systems.
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Learning to solve common NLP problems effectively is an important skill to master due to its popularity. TensorFlow is one of the leading frameworks for implementing production-grade machine learning solutions. By the end of this book, you’ll be ready to confidently develop end-to-end machine learning solutions efficiently with TensorFlow.
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This book helps software engineers, data scientists, ML and AI engineers, and research and development teams to learn and implement privacy-preserving machine learning as well as protect companies against privacy breaches.
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This book will help you master your skills in various artificial intelligence and machine learning services available on AWS. Through practical hands-on examples, you’ll learn how to use these services to generate impressive results. You will have a tremendous understanding of how to use a wide range of AWS services in your own organization.
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The AWS Certified Machine Learning Specialty 2020 Certification Guide covers everything you need to pass the MLS-C01 certification exam and serves as a handy, on-the-job reference guide. You'll also find the book useful if you're looking to get up to speed with AWS services for machine learning.
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This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of learning to learn, the book will help you implement your meta learning algorithms from scratch.
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Master calculus fundamentals essential for AI and machine learning. This guide covers derivatives, integrals, limits, and multivariable calculus, emphasizing applications in neural networks, optimization, and data science techniques.
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Apache Spark for Machine Learning teaches you to use Spark for big data processing and solving future big data challenges.
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Master NLP through practical recipes in this second edition of Python Natural Language Processing Cookbook that expands on data preparation and modeling, and delves into transformer models, GPT-4, NLU, and XAI for advanced NLP tasks.
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Whether you are relatively new to AI/ML or an experienced solutions architect working to address emerging business challenges, this book covers everything you need to design, implement, and manage complex AI/ML workloads on Google Cloud.
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This course demystifies complex topics, providing you with a solid foundation in data analysis and algorithm optimization. Perfect for technical professionals aiming to enhance their understanding and application of machine learning.
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This book will help you use a set of optimization techniques and strategies to speed up the training process of ML models. You'll learn how to identify performance bottlenecks, decide the most suitable approach, and implement the correct solution.
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Hone your machine learning skills to unlock robust models with less data through active machine learning. Tame messy datasets, conquer concept drift, and drive ML productivity with Python's active learning toolkit.
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Dive into machine learning with our course, designed to guide you in building your own recommender system using Scikit-Learn, complete with practical datasets and ethical considerations.
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Discover data labeling methods through Python libraries, ML algorithms, and generative AI with this guide covering best practices, advanced methods, and tools. This book will simplify model training for regression, classification, and clustering.
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Machine learning is an important driver of innovation in software products. This book will help you take your machine learning prototype to the next level and scale it up using concepts such as data provisioning, processing, and quality control.
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Unlock the power of MATLAB for machine learning with this comprehensive guide. From data handling to advanced techniques like deep learning, NLP, and anomaly detection, gain practical skills applicable across a range of AI applications.
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This book explores MXNet/Gluon libraries, delves into toy dataset analysis, and assists in creating deep neural network architectures. With practical examples, it enables you to perform tasks such as transfer learning and transformers in with ease.
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Machine Learning Security with Azure will help you assess the vulnerabilities in your data, models, and environments, and implement the latest industry security best practices. You’ll get to grips with managing, securing, and monitoring your Azure machine learning workloads throughout the ML lifecycle while developing responsible AI applicat
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This hands-on book will help you make your machine learning models fairer, safer, and more reliable and in turn improve business outcomes. Every chapter introduces a new mission where you learn how to apply interpretation methods to realistic use cases with methods that work for any model type as well as methods specific for deep neural networks.
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Machine Learning with Qlik Sense enables you to master machine learning skills and techniques and expand the use of analytics to predictive use cases. The chapters are designed to help you learn the key concepts of machine learning using practical examples, enabling you to create better analytics applications and get the most out of your data.
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The book is a foundational guide for developers keen on mastering machine learning and statistical modeling in R. It offers a hands-on approach along with real-world applications. Whether you're a beginner or looking to upgrade your skills, the book equips you with practical knowledge to tackle a wide array of tasks in ML and statistics.
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TensorFlow finds applications in companies like Google, Twitter, Intel, and Airbnb for solving business problems. Get ready to validate your skills with TensorFlow Developer Certificate using this comprehensive guide to building deep learning models through hands-on, real-world exercises, step-by-step explanations, and case studies.
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Machine Learning with LightGBM and Python is a practical guide that takes you from the essentials of machine learning and the data science processes to building production-ready, high-performance machine learning solutions using LightGBM on -of-the-art platforms.
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With practical and in-depth coverage of everything from the basics of dataset construction to the intricacies of deep learning, Machine Learning for Emotion Analysis in Python introduces you to emotion analysis and helps you accelerate your business growth.
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Debugging Machine Learning Models with Python equips you with the skills needed to transition from a machine learning beginner to a specialist. It guides you through the tools, theoretical concepts, Python modules, and libraries for bringing a high-quality model into production and identifying opportunities to improve your models.
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Computer Vision Using AWS AI Services enables machine learning engineers and data scientists to build and scale CV applications on AWS quickly. This comprehensive guide covers best practices to consider and shows you how to integrate AWS AI/ML services into production environments with little code.
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This is a book for anyone who wants to quickly learn to apply spatial thinking and leverage Geospatial Data Science in Python to better comprehend problem statements and come up with the best possible results.
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Betty Blocks is a no-code platform that allows users to build their own applications. Developers can add functionality to the platform to help citizen developers do more. This book will help you understand the implementation and associated methodologies of Betty Blocks and get you up and running in no time.
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This book helps you understand the need and complexity of the transformation of healthcare using a comprehensive model (TiSH) that consists of 7 treads. You’ll learn about organizing healthcare in stepped, networked, and integrated care, in a fully patient-centric way and by using modern technologies and agile development methodologies.
e_39yn/e_39yn.mp3
e_39yn
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Quantum Machine Learning and Optimisation in Finance shows you how to create hybrid quantum-classical machine learning and optimisation models that can harness the power of NISQ hardware.
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Deep Learning with TensorFlow and Keras, Third Edition teaches deep learning techniques alongside TensorFlow (TF) and Keras. The book introduces neural networks with TensorFlow, runs through the main applications, covers two working example apps, and then dives into TF and cloud in production, TF mobile, and using TensorFlow with AutoML.
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Machine Learning at Scale with H2O helps you to succeed in building and deploying state-of-the-art predictive models with large data volumes in an enterprise setting. The book enables you to understand the perspectives of varied stakeholders while navigating the journey from model development to business value.
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This book is a comprehensive guide that teaches Android developers asynchronous programming using Kotlin flows and coroutines. You’ll begin with the basics of asynchronous programming, including an overview of coroutines and flows, while also integrating them into your Android projects. You’ll also learn how to create high-performant
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(76,49 zł najniższa cena z 30 dni)
76.49 zł
84.99 zł(-10%)
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Machine Learning on Kubernetes guides you on how to implement the entire machine learning life cycle on the Kubernetes platform. The topics covered in this book help you to acquire the fundamental knowledge needed to set up and use a set of open source tools to deliver intelligent applications to production.
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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This book helps you get to grips with the rapidly growing data science domain and takes you on a journey from understanding which algorithm family to use to how to prevent bias. Through hands-on examples and clear analogies, you’ll develop expertise in data science and open source tools no matter what your level of experience is.
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(29,90 zł najniższa cena z 30 dni)
116.10 zł
129.00 zł(-10%)
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This updated second edition of Mastering Azure Machine Learning is a critically timed book. It builds upon simple and advanced NLP techniques, ML models such as boosted trees, deep neural network architectures, and more to help you leverage the power of Azure Machine Learning Services.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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Distributed Machine Learning with Python takes you through state-of-the-art techniques built on top of traditional data and model parallelism approaches. It explains the concept of hybrid data-model parallelism, federated learning, and edge device learning with elastic and in-parallel model training in multi-tenant clusters.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Democratizing Artificial Intelligence with UiPath will help you understand the power of UiPath’s AI features and tools. This practical guide will help lower the barrier to using AI by teaching you how to integrate UiPath AI Center, UiPath Document Understanding, and Druid with automation. By taking a hands-on approach, you will quickly be ab
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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This book will introduce you to the basics of PyTorch Lightning and how you can build deep learning models from scratch. You'll learn techniques for building a variety of model network architecture, debugging them, and tuning them by utilizing some of the advanced features of the PyTorch Lightning framework to research and invent new methods.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Natural Language Processing with Flair is a book for NLP developers, data scientists, and machine learning enthusiasts who want to get up to speed with Flair to be able to put their knowledge to work by solving real-life problems. The book features a number of hands-on exercises showing how to create and deploy Flair NLP solutions with ease.
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(29,90 zł najniższa cena z 30 dni)
98.10 zł
109.00 zł(-10%)
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Automated Machine Learning on AWS is a practical guide that provides hands-on experience to help you learn how to automate a machine learning pipeline using the various AWS services. With this book, you will be able to successfully overcome any machine learning automation challenges on AWS in no time.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Running machine learning on microcontrollers enables everyday objects to make smarter decisions through minimum interactions with the end user. This book features useful and exciting recipes that help you combine the capabilities of embedded ultra-low-power systems and machine learning for AI-powered IoT devices.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Developers working with machine learning will be able to put their knowledge to work with this practical guide to Amazon SageMaker Studio. The book takes a hands-on approach to implementing real-world machine learning use cases that will have you up and running quickly.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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Unity AI Programming provides you with a variety of tools to implement artificial intelligence and leveraging these tools allows limitless possibilities for creating your own games. This book will break down AI into simple concepts to give you a fundamental understanding of the core topics, and practical guidance for implementing them.
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(29,90 zł najniższa cena z 30 dni)
98.10 zł
109.00 zł(-10%)
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Pachyderm enables you to create collaborative data science workflows and reproduce your experiments at scale. This book will help you leverage Pachyderm's data versioning and lineage features to build scalable end-to-end AI/ML pipelines and show you how to deploy Pachyderm in leading cloud platforms, use its SaaS offering PachHub, and much more.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Time Series Analysis on AWS teaches you how to leverage AI/ML managed services to deliver desired business outcomes with time series data. This book will help you solve modern time series analysis problems such as forecasting and anomaly detection using industrial equipment sensors or business metrics.
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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Machine Learning in Biotechnology and Life Sciences is a critically timed book for scientists and developers working in the biotechnology sector. This book takes a hands-on approach to bridging the gap for scientists who have a strong desire to learn and apply AI methods within their roles to drive efficiency and agility in their company.
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pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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Intelligent Workloads at the Edge is a practical guide to designing, deploying, and operating data-driven workloads on edge IoT devices for delivering cyber-physical outcomes. You'll work with hands-on projects to learn how to build intelligent applications that run on edge devices with AWS IoT Greengrass.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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This book can help you rapidly explore and build a broader range of machine learning models using DataRobot's capabilities. You'll learn how to deploy ML models and operationalize and monitor their performance using practical examples. Data science experts will learn how to scale model building by using the Python API, among other advanced topics.
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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This Workshop will teach you how to build deep learning models from scratch using real-world datasets with the TensorFlow framework. You will gain the knowledge you need to process a variety of data types, perform tensor computations, and understand the different layers in a deep learning model.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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The Azure Data Scientist Associate Certification Guide offers complete coverage of the DP-100 exam content to help you to pass it with confidence. This book goes beyond the requirements for the exam and provides additional knowledge to ensure success in your real-life data science projects too.
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pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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This updated second edition of Learn Amazon SageMaker will teach you how to move quickly from business questions to high performance models in production. Using machine learning and deep learning examples implemented with Python and Jupyter notebooks, you’ll learn how to make the most of the many features and APIs of Amazon SageMaker.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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IBM Cloud Pak for Data is a data and AI platform that helps businesses with their data modernization initiatives and to democratize data access to accelerate advanced analytics. This book will teach you how to develop a trusted data foundation to operationalize AI with trust, reliability, and transparency in your business processes.
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This book will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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Explore the capabilities of Amazon SageMaker to effectively train, deploy, and manage machine learning and deep learning models in AWS with complete and thoroughly explained hands-on examples. With 80 proven recipes, this step-by-step guide will help you build the skills necessary to contribute to real-life ML requirements and projects.
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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Rasa provides an open-source framework for developing AI chatbots that uses natural language processing (NLP) and machine learning technologies. With this book, you'll become well-versed with all that Rasa offers to help you build a next-level customer experience at scale.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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Deep Learning with fastai Cookbook helps you to quickly apply fastai to create deep learning applications. This recipe-based book teaches you how to use fastai for each of the four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Gain a high-level introduction to GPT-3 and the OpenAI API with Exploring GPT-3. Get started without prior programming experience and learn how to work with GPT-3 for text generation, classification, semantic search, and more either without coding using the OpenAI Playground or by following simple code examples in both JavaScript and Python.
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pkt
(125,10 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Machine Learning Engineering with MLflow is a step-by-step guide that will have you up and running, and productive in no time with MLflow using the most effective machine learning engineering approach. You will also learn how to scale MLflow in big data environments and for high computing demands.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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Getting Started with Streamlit for Data Science takes you from the basics of web app development in the Streamlit library and machine learning model deployment in Heroku and AWS. The book shows you how you can use Streamlit for a variety of projects to improve job applications and resumes and much more.
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pkt
(29,90 zł najniższa cena z 30 dni)
170.10 zł
189.00 zł(-10%)
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Data scientists working with network data will be able to put their knowledge to work with this practical guide to building machine learning algorithms using graph data. The book provides a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time.
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pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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This book helps you accelerate machine learning model development with BigQuery ML. Throughout the book, you'll use various ML models to learn about BigQuery ML features and discover how to apply them to different business scenarios. This book will help you to extend existing SQL capabilities to leverage the full potential of machine learning.
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(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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Machine Learning with the Elastic Stack, Second Edition, provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for supervised learning and unsupervised learning that helps make machine learning truly operational for you.
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pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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AutoKeras is a very simple and popular open source AutoML framework that provides easy access to deep learning models. This book will help you to explore the basics of automated machine learning using practical examples, enabling you to create and use your own models in your company or project.
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pkt
(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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If you are a developer looking to build machine learning models without spending months and years learning machine learning prerequisites, look no further than AutoML. This practical and concise guide will show you how to build automated models for regression and classification, both with traditional algorithms and neural networks.
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(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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This hands-on book will help you make your machine learning models fairer, safer, and more reliable and in turn improve business outcomes. Every chapter introduces a new mission where you learn how to apply interpretation methods to realistic use cases with methods that work for any model type as well as methods specific for deep neural networks.
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pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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This guide will help you to explore automated machine learning (AutoML), a rapidly growing subfield of machine learning. You’ll learn how you can use AutoML to fully automate the machine learning process even if you’re not an expert, and in turn increase your productivity drastically.
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pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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This book is designed to guide you through TensorFlow and how to use it effectively. Throughout the book, you will work through recipes and get hands-on experience to perform complex data computations, gain insights into your data, and more.
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pkt
(29,90 zł najniższa cena z 30 dni)
98.10 zł
109.00 zł(-10%)
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Starting with an easy introduction to KNIME Analytics Platform, this book will take you through the key features of the platform and cover the advanced and latest deep learning concepts in neural networks. In each chapter, you’ll solve real-world case studies based on deep learning networks to spark your creativity for new projects.
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(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%)
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Equipped with the latest updates, this third edition of Python Machine Learning By Example provides a comprehensive course for ML enthusiasts to strengthen their command of ML concepts, techniques, and algorithms.
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(29,90 zł najniższa cena z 30 dni)
98.10 zł
109.00 zł(-10%)
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Microsoft Power BI Quick Start Guide, Second Edition gets you up to speed with Power BI quickly, enabling you to derive actionable insights from your data using the data visualization capabilities of Microsoft Power BI within a short span of time.
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(242,10 zł najniższa cena z 30 dni)
242.10 zł
269.00 zł(-10%)
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This book is for beginners who are looking for a strong foundation to build deep learning models from scratch. You will test your understanding of the concepts and measure your progress at the end of each chapter. You will have a firm understanding of deep learning and will be able to identify which algorithms are appropriate for different tasks.
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pkt
(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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The Natural Language Processing Workshop takes you through fundamental NLP techniques, such as preparing datasets, collecting text, extracting text, and sentiment analysis. As you progress, you’ll get to grips with creating your own chatbots and dynamic models.
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pkt
(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
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This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment.
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pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%)
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With The Deep Learning Workshop, you’ll learn about essential deep learning concepts, such as image recognition, text embedding, and neural networks, all so that you can build your own smart machine learning models. You'll be able to learn at your own pace with the help of interesting activities and hands-on exercises that will keep you hook
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pkt
(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%)
