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Uczenie maszynowe - nowości
Poniżej znajduje się owoc ciężkiej pracy naszej i autorów - lista nowości wydawniczych marki Helion. Jeśli pragniecie, być na bieżąco z pozycjami proponowanymi przez księgarnię helion.pl - koniecznie zapiszcie się na newsletter. Żadna nowość wydawnicza Was już nie ominie!
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Nowość Promocja
Dzięki tej książce przyswoisz różne techniki, które pomogą Ci stać się bardziej produktywnym analitykiem danych. Najpierw zapoznasz się z tematami związanymi z rozumieniem danych i umiejętnościami miękkimi, które okazują się konieczne w pracy dobrego danologa. Dopiero potem skupisz się na kluczowych aspektach uczenia maszynowego. W ten sposób stop- Druk
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Bestseller Nowość Promocja
Dzięki temu praktycznemu przewodnikowi profesjonaliści zajmujący się danymi dobrze zrozumieją wady i zalety poszczególnych rozwiązań. Omówiono tu typowe zagadnienia dotyczące architektur danych, w tym ich rozwój i możliwości. Żadna architektura nie jest na tyle uniwersalna, by być odpowiednia w każdej sytuacji, dlatego w książce znajdziesz rzetelne- Druk
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Bestseller Promocja
Koncepcje te zostały przystępnie wyjaśnione właśnie w tej książce. W szczególności zapoznasz się z praktycznymi aspektami probabilistyki, statystyki, algebry liniowej i rachunku różniczkowego. Prezentacji tych zagadnień towarzyszą fragmenty kodu w Pythonie i praktyczne przykłady zastosowań w uczeniu głębokim. Rozpoczniesz od zapoznania się z podsta- Druk
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Come and join hands together to learn Python from scratch. This book will help you understand Python from scratch and help you build a career in the field of programming. Key Features Exciting examples and a solid grasp of the principles of Python. An easy guide for absolute beginners to enjoy coding while learning. Exception handling, OOPs fu- ePub + Mobi pkt
A Journey to Core Python
Girish Kumar, Dr. Ajay Shriram Kushwah, Raji Ramakrishnan Nair, Subhashiny G
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step-by-step approach to Python programming with machine learning fundamental and theoretical principles. Key Features Introduces readers to Python programming in a very simple way. Extensive practical demonstration of Python concepts using numerous examples. Implementation of machine learning in Python using hands-on techniques. Description- ePub + Mobi pkt
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A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. Key Features Popular techniques for problem formulation, data collection, and data cleaning in machine learning. Comprehensive and useful machine learning tools such as MLFlow, Streamlit, and many more. Covers numerous machine- ePub + Mobi pkt
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80.91 zł
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Unlock the Potential of Data Science and Machine Learning to Your Business and Organization Key Features Includes today's most popular applications powered by data science and machine learning technology. A solid primer on the entire data science lifecycle, detailed with examples. An integrated approach to demonstrating the use of Image Proces- ePub + Mobi pkt
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Bring elasticity and innovation to Machine Learning and AI operations Key Features Coverage includes a wide range of AWS AI and ML services to help you speedily get fully operational with ML. Packed with real-world examples, practical guides, and expert data science methods for improving AI/ML education on AWS. Includes ready-made, purpose-bui- ePub + Mobi pkt
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80.91 zł
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Accelerate the delivery of software, data, and machine learning Key Features Each chapter harmonizes the DevOps, Data Engineering, and Optimized Machine Learning cultures. Equips readers with AGILE skills to continuously re-prioritize production backlogs. Containerization, Docker, Kubernetes, DataOps, and MLOps are all rolled together. Descr- ePub + Mobi pkt
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An insightful journey to MLOps, DevOps, and Machine Learning in the real environment. Key Features Extensive knowledge and concept explanation of Kubernetes components with examples. An all-in-one knowledge guide to train and deploy ML pipelines using Docker and Kubernetes. Includes numerous MLOps projects with access to proven frameworks and- ePub + Mobi pkt
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Description Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrastructure. This book covers everything from foundati- ePub + Mobi pkt
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Build machine learning models and train them to make Android applications much smarter. Key Features Learn by doing, training, and evaluating your own machine learning models. Includes pre-trained TensorFlow models for image processing. Explains practical use cases of artificial intelligence in Android. Description This book features techniqu- ePub + Mobi pkt
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80.91 zł
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Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment. Key Features In-depth explanation and code samples highlighting the features of the Julia language. Extensive coverage of the Julia development ecosystem, package management, DevOps environment integration, and perf- ePub + Mobi pkt
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80.91 zł
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Build AI applications using Python to intelligently interact with the world around you. Key Features Covers the practical aspects of Machine Learning and Deep Learning concepts with the help of this example-rich guide to Python. Includes graphical illustrations of Natural Language Processing and its implementation in NLTK. Covers deep learning- ePub + Mobi pkt
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80.91 zł
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Work with TensorFlow and Keras for real performance of deep learning Key Features Combines theory and implementation with in-detail use-cases. Coverage on both, TensorFlow 1.x and 2.x with elaborated concepts. Exposure to Distributed Training, GANs and Reinforcement Learning. Description Mastering TensorFlow 2.x is a must to read and practic- ePub + Mobi pkt
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80.91 zł
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For programmers who need to use Python for network-related activities and apps Key Features Comprehensive coverage of Python 3's improved SSL support. Create an asynchronous I/O loop on your own. A look at the "asyncio" framework, which is included with Python 3.4. Description This book includes revisions for Python 3 as well as all of the- ePub + Mobi pkt
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80.91 zł
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Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow Key Features Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical. Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects. Everything is concise, up-to-date, and visually- ePub + Mobi pkt
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Explore the cosmic secrets of Distributed Processing for Deep Learning applications. Key Features In-depth practical demonstration of ML/DL concepts using Distributed Framework. Covers graphical illustrations and visual explanations for ML/DL pipelines. Includes live codebase for each of NLP, computer vision and machine learning applications.- ePub + Mobi pkt
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Mathematical Codebook to Navigate Through the Fast-changing AI Landscape Key Features Access to industry-recognized AI methodology and deep learning mathematics with simple-to-understand examples. Encompasses MDP Modeling, the Bellman Equation, Auto-regressive Models, BERT, and Transformers. Detailed, line-by-line diagrams of algorithms, and t- ePub + Mobi pkt
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A complete guide that will help you get familiar with Machine Learning models, algorithms, and optimization techniques Key Features Understand the core concepts and algorithms of Machine Learning. Get started with your Machine Learning career with this easy-to-understand guide. Discover different Machine Learning use cases across different do- ePub + Mobi pkt
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Make use of the most advanced machine learning techniques to perform NLP and feature extraction Key Features Learn about pre-trained models, deep learning, and transfer learning for NLP applications. All-in-one knowledge guide for feature engineering, NLP models, and pre-processing techniques. Includes use cases, enterprise deployments, and a- ePub + Mobi pkt
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Develop AI based real-world Applications Key Features Provides a practical understanding of AI, including its concepts, tools and techniques. Includes step-by-by-step instructions for implementing machine learning and deep learning algorithms and features. Complex datasets and examples are used to expose mathematical illustrative and pseudo-co- ePub + Mobi pkt
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Primer into the multidisciplinary world of Data Science Key Features Explore and use the key concepts of Statistics required to solve data science problems Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app Learn how to build Data Science solutions with GCP and AWS Description The bo- ePub + Mobi pkt
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Conceptualizing deep learning in computer vision applications using PyTorch and Python libraries. Key Features Covers a variety of computer vision projects, including face recognition and object recognition such as Yolo, Faster R-CNN. Includes graphical representations and illustrations of neural networks and teaches how to program them. Inclu- ePub + Mobi pkt
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A Cookbook that will help you implement Machine Learning algorithms and techniques by building real-world projects Key Features Learn how to handle an entire Machine Learning Pipeline supported with adequate mathematics. Create Predictive Models and choose the right model for various types of Datasets. Learn the art of tuning a mod- ePub + Mobi pkt
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Solve business problems with data-driven techniques and easy-to-follow Python examples Key Features Essential coverage on statistics and data science techniques. Exposure to Jupyter, PyCharm, and use of GitHub. Real use-cases, best practices, and smart techniques on the use of data science for data applications. Description This book- ePub + Mobi pkt
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An easy-to-understand guide to learn practical Machine Learning techniques with Mathematical foundations Key Features A balanced combination of underlying mathematical theories & practical examples with Python code Coverage of latest topics like multi-label classification, Text Mining, Doc2Vec, Word2Vec, XMeans clustering, unsupervised- ePub + Mobi pkt
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80.91 zł
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A practical guide that will help you understand the Statistical Foundations of any Machine Learning Problem. Key Features Develop a Conceptual and Mathematical understanding of Statistics Get an overview of Statistical Applications in Python Learn how to perform Hypothesis testing in Statistics Understand why Statistics is important in M- ePub + Mobi pkt
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Doors are never locked for smart software and smart devices that are trained by smart people Key Features A book for everyone interested to know more about WSN, AI, and IoT Discover various Open source tools & techniques for research and development in these felids An easy-to-understand guide that will help you get familiar with the upcomi- ePub + Mobi pkt
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A power-packed guide with solutions to crack a Big data Hadoop Interview Key Features Get familiar with Big data concepts Understand the working of Hadoop and its ecosystem. Understand the working of HBase, Pig, Hive, Flume, Sqoop and Spark Understand the capabilities of Big data including Hadoop and HDFS Up and running with- ePub + Mobi pkt
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Get answers to frequently asked questions on Data Science and Machine Learning using R Key Features Understand the capabilities of the R programming language Most of the machine learning algorithms and their R implementation covered in depth Answers on conceptual data science concepts are also covered Description This book- ePub + Mobi pkt
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Understand the essentials of Machine Learning and its impact in financial sector Key Features Explore the spectrum of machine learning and its usage. Understand the NLP and Computer Vision and their use cases. Understand the Neural Network, CNN, RNN and their applications. Understand the Reinforcement Learning and their applications.- ePub + Mobi pkt
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80.91 zł
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A pragmatic guide that will teach you to implement Agile, SCRUM and Kanban in your organization. Key Features Expert-guided techniques for successful Agile transformation in your organization. Solution-focused responses on interview questions of Agile SCRUM, XP, DSDM, KANBAN and SCRUMBAN. Reference guide to prepare for leading PMI-ACP- ePub + Mobi pkt
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