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This book converts the concepts of a hexagonal architecture into actual code. It concentrates on one of the most common forms of application in use today - a web application with an underlying database.
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XGBoost for Regression Predictive Modelling and Time Series Analysis will help you get a practical understanding of the XGBoost algorithm by taking a hands-on approach, from installing the python package through to model building and deployment.
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The CompTIA Security+ exam is a valuable qualification for those seeking a career in Cybersecurity. This book is a great resource to test whether your knowledge base and skills align with the exam objectives.
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This book focuses on Grafana 10.x's features for creating interactive dashboards to visualize and monitor data. Throughout the book, you’ll explore the administrative aspects of Grafana and work with various plugins, enhancing your skills to query, visualize, and understand your metrics while making the most of the newly improved security fe
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Master Retrieval-Augmented Generation (RAG), the most popular generative AI tool, to unlock the full potential of your data. This book enables you to develop highly sought-after skills as corporate investment in generative AI soars.
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This book will guide you through the fundamental and advanced features of the Snowpark framework in Python. You'll learn how to use Snowpark for implementing workloads in the fields of data engineering, data science, and data applications.
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With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premises. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with ADF
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The book is a practical guide that’ll help you prepare to successfully break into the data engineering role. The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.
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This practical guide takes a hands-on approach to implementation and associated methodologies to have you up and running with all that Amazon Kinesis has to offer. You’ll work with use cases and practical examples to be able to ingest, process, analyze, and stream real-time data in no time.
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Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
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This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet, Inception, and encoder-decoder without diving deep into the math of it. It shows how you can implement and use various architectures to solve problems in the area of image classification, language translation and NLP using PyTorch.
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The Art of Data-Driven Business is a practical guide to understanding the intricacies of powering your business decisions with machine learning algorithms backed by the might of Python. The techniques you’ll learn in this book will enable you to make the best possible decisions based on a data-driven approach.
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This book offers practical guidance on managing data as a product, drawing from real-world experience to empower you to implement your own data product-centric approach.
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Achieve data engineering excellence with this comprehensive guide. Learn essential best practices, design patterns, and real-world use cases to architect robust, cost-effective data solutions in the cloud.
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Explore Python code recipes to use market data for designing and deploying algorithmic trading strategies. By following step-by-step instructions, you'll be proficient in trading concepts and have hands-on experience in a live trading environment.
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Gain an overview of Microsoft Fabric and designing and building analytics systems for various use cases, including lakehouses, data warehouses, real-time analytics, and data science, while also boosting developers' productivity through Copilot integration.
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Principles of Data Science provides an end-to-end framework for cultivating critical thinking about data, performing practical data science, building performant machine learning models, and mitigating bias in AI pipelines. Learn the fundamentals of computational math and stats while exploring modern machine learning and large pre-trained models.
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This book will help analysts get the most out of Microsoft Business Intelligence tools with DAX. With expert-led examples and approachable theoretical explanations, you'll deepen your understanding of DAX and achieve good business modeling design.
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Extreme C teaches you to use C’s power. You will master preprocessor directives, macros, conditional compilation, pointers, and much more, and gain new insight into algorithm design, functions, and structures. Amini’s book captures his experience as a programmer and scientist, encouraging you to think, question, apply, and experiment
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This book demonstrates the power of Splunk 7.x to offer you quick solutions and strategies to bring efficient operational intelligence in your organization. Implement a wide range of tasks in recipe format to perform operations on machine data. Learn to achieve intelligent data-driven way using machine learning capabilities to explore complex data.
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152.10 zł
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PostGIS is an open source spatial database system that offers a wider array of spatial analysis function and representation of geometric data types to databases. This book offers a tailored approach to practice common and most complex geo-processing tasks experts do with ease to design efficient GIS systems. Through the course of the book, not only
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This book is the ultimate guide to using latest features of Python 3.x to scrape data from websites. Learn right from extracting data from static web pages to creating class-based scrapers with Scrapy libraries. This book will also help you build crawlers and determine how to scrape data from JavaScript dependent website using PyQt and Selenium. Yo
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Mastering Data transformation is essential for enhancing their data models and business intelligence. The Definitive Guide to Power Query equips you with the knowledge and skills to master the tool while leveraging its remarkable capabilities.
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Modern Time Series Forecasting with Python is a timely book that goes beyond popular classical time series techniques such as ARIMA and exponential smoothing and embraces modern high-performant techniques like machine learning. You’ll discover tested tips and tricks to advance your skillset and make you industry-ready in time series forecast
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The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.
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This book will help you delve into data governance on Google Cloud. Moreover, you'll also cover the latest technological advancements in the domain and be able to build and deploy data pipelines confidently.
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Unlock the benefits of Power BI’s data cleaning capabilities to simplify the process of preparing data for analysis with this guide to transforming your data using tools like DAX, PowerQuery, and M language to build compelling visualizations.
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This book provides a one-stop solution for diving deep into data analytics with SQL. You'll also understand how to extract business insights from huge unorganized data.
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Using machine learning-based NLP models, you can speed up business processes, make more accurate predictions, and uncover new insights from your existing data, where spaCy, an advanced industrial-grade natural language processing library, can help. With this book, you'll learn how to use it and create high-impact ML solutions for NLP.
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116.10 zł
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In this book, you will learn how to use Chart.js, based on open Web standards, through a series of step-by-step tutorials and simple real-world examples to build interactive and responsive Web-based visualizations for your data. You will learn how to load and parse external data formats like CSV and JSON, and create different types of charts.
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80.91 zł
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Apache Superset is a modern, open source, enterprise-ready Business Intelligence web application. This book will teach you how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization.
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80.91 zł
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Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries, goes a long way in defining user experience and enticing your customers to use and buy from your platform. This book teaches you to do just that.
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Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free.
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Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution as
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PostgreSQL has become a widely adopted database engine thanks to its robust enterprise capabilities. This edition will not only help you get up and running with the latest changes in PostgreSQL but will also focus on its most important features; like transactions, security, replication, backup and restore, extensions and more.
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107.10 zł
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Explore the essentials of linear regression using Python, covering topics like finding the best-fitting line, assessing statistical significance, and advanced methods such as Bayesian regression, all supported by Python code examples.
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35.91 zł
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This book equips you with the knowledge and tools to master every stage of LLM operations, from data wrangling to deployment, ensuring efficient, scalable, and ethical AI in your applications.
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107.10 zł
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This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.
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125.10 zł
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Boost your analytics engineering journey with this comprehensive guide, written by 7 industry experts. This book is an indispensable resource that arms you with all the knowledge, skills, and insights you need to excel in this rapidly evolving field.
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107.10 zł
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Modeling guides are often steeped in theory and formal language. The innovative approach taken in Data Modeling with Snowflake combines practical modeling concepts with Snowflake best practices and unique features, allowing you to create efficient designs that leverage the power of the Data Cloud.
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107.10 zł
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Learn how to design and build Dash apps from scratch with this practical book that covers the different functionalities of Plotly and Dash for building dashboards and data apps. You’ll start by exploring the Dash ecosystem and go on to build a fully functional app as you discover options for fine-tuning and extending your app using new techn
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134.10 zł
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IPython Interactive Computing and Visualization Cookbook, Second Edition shows you how to analyze and visualize data in the Jupyter Notebook. It will help you become an expert in high-performance computing and visualization for data analysis and scientific modeling.
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98.10 zł
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67.49 zł
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This in-depth guide to Microsoft Fabric helps you confidently pass the DP-600 exam. You'll learn to design, implement, and optimize data analytics solutions; master data exploration, SQL, and advanced techniques; and tackle real-world challenges.
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98.10 zł
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Master deep learning with TensorFlow, Keras, and PyTorch. Explore neural networks, CNNs, RNNs, Transformers, and GANs through theory, practical exercises, and real-world applications. Learn to deploy AI models on cloud and edge devices with ease.
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134.10 zł
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Official pandas documentation, while thorough, does not contain many useful examples. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.
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125.10 zł
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If you're interested in becoming a data analyst, but don't know where to start, then Becoming a Data Analyst, the ultimate guide to mastering data analysis techniques, is for you. In this book, you'll get step-by-step guidance, real-world examples, hands-on exercises, and plenty of in-depth explanations of fundamental concepts that will help you ta
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This book provides up-to-date methods for data cleaning and preparation using Python. You'll learn effective techniques for solving the challenges you face, exploring how to create high-quality data products based on well-formatted and cleaned data.
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107.10 zł
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Polars Cookbook is a compilation of practical recipes for efficient data wrangling using Python Polars. The book teaches you how to solve common data problems using Polars, create solutions tailored towards your specific use case, and more.
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125.10 zł
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This report highlights the vital role of data quality in your data strategy, offering actionable steps to make it the foundation of your data culture, unlocking greater value and informed decisions in the evolving landscape of AI.
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179.10 zł
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Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.
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179.10 zł
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Explore Microsoft's pioneering data innovation and investment, driving significant advancements in data maturity, detailed in this book. Learn how business stakeholders who rely on data for daily operations can foster data-driven innovation.
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This book offers actionable insights and expert guidance to help you unlock the power of generative AI. Explore its ethical applications, implementation strategies, and transformative potential for informed decision-making.
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Whether you're a seasoned Tableau user or just starting out, this book is a comprehensive resource to mastering Tableau and achieving certification success. Learn how to unlock the full potential of Tableau with this essential exam guide.
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This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.
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Explore the innovative world of AI with Generative Deep Learning with Python. This book guides you through the fundamentals and advanced techniques of generative models, enabling you to create AI systems that can generate art, music, and more.
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This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You’ll also find useful insights into how to implement data governance initiatives.
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Explore the evolving world of language model prompt engineering with this book. From the basics of NLP to mastering prompt engineering techniques, this book is your gateway to leveraging the power of large language models effectively.
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This book covers the fundamentals of how to provide context to your marketing data and derive data-driven insights using Python. It equips you with the tools and techniques you need to use on specific datasets to answer marketing questions.
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This book will teach you how to streamline your workflow, execute statistical analysis, create powerful visualizations, and integrate R and Python into Excel for maximum efficiency to make informed business decisions faster than ever.
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This book covers mathematical foundations & advanced techniques for NLP, machine learning, and LLMs. It provides complete NLP system design in Python code and includes expert opinions on future trends to help you solve real-world business problems.
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134.10 zł
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The Definitive Guide to Data Integration is for data eclectics looking to explore the modern data stack. Complete with practical examples and insights, it covering tools, techniques, and best practices to unleash your data's potential.
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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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This book is a compilation of essential background knowledge, tools, techniques, and applied examples needed to implement data-centric ML. Learn how to apply a best-practice data-centric approach in your work with this informative guide.
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The book provides a hands-on approach to creating dashboards for various workplace and business scenarios, extensive coverage of the game-changing features in M365 Excel, and best practices that will have you up and running quickly.
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The book provides a foundation of building intuitive dashboards using Kibana 8.x and application of data analysis techniques to research, mine and aggregate information to convey business insights and improve decision making.
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85.49 zł
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This book provides a comprehensive guide to leveraging the immense potential of transformers for NLP and vision tasks. It covers the architectural innovations that have led to unprecedented natural language capabilities, along with the associated risks and mitigation strategies.
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134.10 zł
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Learn new techniques to ingest, transform, merge, and deliver trusted data to downstream users using modern cloud data architectures and Scala, and learn end-to-end data engineering that will make you the most valuable asset on your data team.
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This hands-on guide will help you learn various strategies for managing data integrity and data quality using effective frameworks, tools, and strategies. Get ready to explore a range of methods and solutions for finance projects and requirements.
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Elevate your data quality monitoring and successfully implement data observability practices in your teams in a scalable way with this practical guide to addressing data issues, fostering improved collaborating post-adoption of these techniques.
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The Deep Learning Architect’s Handbook covers everything you need to master all aspects of deep learning. This hands-on guide will enable you to create innovative real-world applications, transforming the world into a more productive environment.
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134.10 zł
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Through Kaggle Notebooks, this book teaches beginners and experienced Kagglers data analysis and the ML pipeline. With seven steps covering several techniques and competition datasets, you'll be able to compete in Kaggle competitions successfully.
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NLP for Practitioners with Elastic is a foundational guide that helps you get to grips with the fundamentals of vectors and embedding models. Using a hands-on approach, you’ll be able to enhance your search use case with vector search using Elastic. The book covers kNN search, NLP capabilities, and the current state of vector search database
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Data Modeling with Microsoft Excel is a practical guide to unlocking the benefits of Microsoft Excel’s Data Model. The book simplifies the data modeling process to help you master effective ways to build relational data from multiple sources in Excel, create DAX and Cube calculations, and apply your learnings to build an interactive dashboar
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Data Exploration and Preparation with BigQuery is a comprehensive guide to working with data preparation tools and strategies using BigQuery as a modern data warehouse solution. Through hands-on exercises and projects, you’ll leverage your BigQuery proficiency to overcome common challenges faced by data analysts.
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Alteryx Designer Cookbook is a comprehensive guide with a collection of practical and easy-to-follow recipes for a wide range of topics in Alteryx Designer, including data cleansing, and data blending. It is designed to help you implement these techniques in your projects and gain insights from your data quickly and efficiently
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Practical Data Quality offers a comprehensive view of managing data quality in your organization – from the business case through to permanently embedding improvements you make in the organization. The authors use real-world examples throughout and provide re-usable templates to accelerate your initiatives.
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Building ETL Pipelines in Python covers the process of creating robust and scalable ETL pipelines from scratch. The book explores all the tools and technologies available to create robust ETL pipelines along with real-world examples and practical implications.
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This book is an essential guide for anyone seeking to transform raw, unstructured data into meaningful insights. It simplifies the complex process of data wrangling by leveraging SQL commands such as aggregate functions, subqueries, and window functions, and is suitable for professionals looking to master the art of data wrangling.
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Data wrangling involves cleaning and organizing complex data sets for analysis. This book guides you in connecting to AWS services and using its data wrangling tools for effective data analytics, even when the data sources are multiple and organizing it might look challenging.
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AI is a tool that demands a deeper understanding of where and how to use it. By becoming Citizens of Data Science, we can actively participate in where and how AI is used to improve the human condition. With the help of this guide, you’ll get to grips with the relevant AI and data concepts that will help you make the most of the AI revolutio
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Graph Data Modeling with Python is your guide to building real-world use cases of how to prepare graph data for modeling, converting tabular to graph data structures, and working through simple graph use cases using degree centrality. Using the Python packages igraph and NetworkX, you’ll build your skills in various types of graph analytics.
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This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You’ll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provi
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This book provides a comprehensive introduction to Bayesian deep learning methods for machine learning researchers and practitioners. It discusses the importance of uncertainty in machine learning, covers numerous methods for uncertainty-aware deep networks, and provides detailed code examples in Python to assist you throughout your exploration.
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This comprehensive guide explores the benefits of using data contracts to improve data quality in modern data platforms. With a focus on accountability and governance, this book provides practical tips and best practices for implementing data contracts in your organization and building a true data-driven culture.
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This book teaches you how to manage and analyze your geospatial data using the cloud. You’ll discover how to ingest, manage, and analyze geospatial data from various sources using S3, DynamoDB, RDS, Redshift, and Athena, along with exploring powerful location-based services like geocoding, routing, and geofencing using Amazon Location Servic
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Natural language understanding can address a wide range of problems, from managing smart homes to chatbots to creative writing. Natural Language Understanding with Python covers the full range of techniques for understanding natural language, including the new large language models. With clear explanations and examples, this book will equip you to
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Exploratory Data Analysis in Python is a practical resource that helps you to learn techniques, libraries, and steps for uncovering patterns and actionable insights embedded in tabular, time series, and textual data. This book gets you started with implementing the various EDA techniques for data analysis or ML projects using Python.
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The Data Ingestion with Python Cookbook presents a collection of practical recipes to help you get started with the process of data ingestion from various sources or data files. This book offers a range of code recipes and solutions for creating efficient data ingestion pipelines while addressing common issues related to it.
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CompTIA Data+: DAO-001 Certification Guide walks you through every concept covered in the new CompTIA exam with simple, a step-by-step explanations. Complete with exam tips, practical exercises, mock exams, and exam objective mappings, this is the perfect study guide to help you obtain Data+ certification
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Product and service teams benefit tremendously by using unstructured data, and that's where Commerce.AI comes in, merging machine learning, product expertise, and big data to help businesses make accurate decisions using the world's largest unstructured data engine. This audiobook shows you how to use AI to gain insights like never before.
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Agile development and quick time-to-market deployments are crucial for competitive markets and dynamic needs, and deploying artificial intelligence technologies in microservices architecture creates flexible and adaptive systems. This practical guide helps developers and architects to design and deploy intelligent microservices systems.
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Robo-Advisor with Python is a hands-on book for professionals with an interest in digital wealth management and goal-based investing. You’ll learn and build all the key features of a typical robo-advisor, whether you plan to build one to manage your own money or run a platform for retail investors.
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Data Wrangling with R covers the most modern ways to make data ready for exploration or modeling in detail. The book covers libraries from the tidyverse package, such as tidyr, dplyr, ggplot2, and lubridate to help you prepare your data for analysis. You’ll also explore data visualization and modeling to create better graphics and projects w
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Learn Azure Synapse Data Explorer covers advanced analytics and data science scenarios with the use of free-text and semi-structured data from an application log and device telemetry. The book takes an end-to-end approach to work with data ingestion and data science experiments through dashboarding.
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Data Analytics using Splunk 9. x provides a detailed walk-through of the improvements introduced in Splunk 9 with the help of practical examples. It not only teaches you to create visualizations with Splunk 9. x but also takes you through the advanced features of clustering, administration, data modeling, federated search, and container management.
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Mastering the art of model serving is a crucial yet daunting task in the realm of machine learning. This comprehensive guide equips you with knowledge of various model serving techniques to seamlessly bring your machine learning models to fruition, while also highlighting the best practices in model deployment.
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Building Analytics Teams is your one-stop guide to transforming your firm into an analytically driven organization while efficiently and effectively managing executive expectations of the return on investment of the team and projects.
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Enter the world of self-service business intelligence and become the data hero in your organization, or build a promising new data career. In this second edition, you’ll learn how to cleanse data, build data models, and use the advanced analysis capabilities of Power BI to create business value by unlocking key insights contained in your dat
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Cypher is a great language to express graph traversals, but it still requires a bit of change in the thinking process to write performant cypher queries. This book will help to get the best out of neo4j using cypher language and its capabilities.
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Microsoft Power BI Quick Start Guide, Third 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 and help your business make better decisions.
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Machine learning and Python offer unique opportunities to process text data. This book will equip you with the skills you need to undertake a role in the field. The content keeps the right balance between need-to-know theory and hands-on practice, grounding the discussion around different case studies.
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Python Feature Engineering Cookbook, Second Edition will give you the practice, tools, and techniques to streamline your feature engineering pipelines and simplify and improve the quality of your code. With more than 70 methods to transform or create variables, you will find solutions tailored to different datasets and machine learning models.
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152.10 zł
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Neural Search, from Prototype to Production with Jina covers the important tools in deep learning–powered search infrastructure for building cross- and multi-modal search systems, including text, images, video, and audio, distributed on the cloud.
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This is a must-have book for developers and architects who want to understand the core skills that a Java professional should have to become a data architect in order to create effective architectures. You’ll be able to pick up industry best practices if you’re an aspiring Java data architect who wants to easily achieve their goal.
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Serverless ETL and Analytics with AWS Glue acts a single resource, providing a holistic view of the various features of Glue, and teaches you how to use each one of them. This book helps you to understand the entire process of building data lakes using AWS Glue and other AWS services.
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Data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time analyzing it. Efforts put into cleaning data are crucial, since analyzing dirty data can lead to inaccurate decisions. This is a critically timed book that will help you identify, diagnose, and treat data cleaning problems in Python, with advanced ML t
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This book is a practical guide for creating and executing data and ML pipelines using the open protocol Delta. Simplifying Data Engineering and Analytics with Delta focuses on helping you make the right architecture choices and providing a hands-on approach to implementation and associated methodologies that will have you up and running in no time.
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This book teaches you how to use MLflow to support deep learning life cycle development with step-by-step instructions. You’ll build NLP solutions from scratch and implement scalable deep learning pipelines from initial offline experimentation to production with coherent provenance tracking for code, data, models, and explainability.
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This book is written for developers who want to start using feature stores. This is a comprehensive overview that will teach you how to store, transform, curate, and share features. With the help of practical examples, you’ll learn best practices for training, inference, and reusing features for other ML pipelines.
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Domo is a power-packed BI and custom app development cloud platform that empowers organizations of all sizes to perform effective analysis in minutes. With the help of this book, you’ll be able to intake data from any source, merge it with other relevant data, and publish an amazing visual story using Domo that will get you noticed.
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This workshop will teach you how to tackle modern data problems and derive value from complex datasets using the pandas library. You will gain the knowledge and skills to process a variety of data types and kickstart your Python data science career.
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This book uses real-life datasets from Kaggle to explain basic statistics for machine learning for data segmentation, regression predictions, and forecasts. You’ll focus on variable dependency and autocorrelation to build, test, and use a linear regression prediction model and time series forecasts.
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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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The Tableau Workshop gets you up and running with data processing, analytics, and visualization using Tableau. With plenty of practical exercises and activities, you'll quickly learn the fundamentals of presenting data effectively and be well prepared to deliver business insights through visual analytics.
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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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Packed with hands-on examples, this book will help you perform key tasks such as ingesting, transforming, and consuming data to build end-to-end data pipelines with GCP. By the end of this book, you'll be well-versed with various GCP tools that can boost your data engineering career in no time.
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170.10 zł
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This book will take you through the Amazon EMR architecture, features, and common use cases or problem statements it solves. You’ll discover how to configure it in production with scaling, monitoring, and security best practices, while also understanding different implementations of batch, real-time streaming, and interactive analytics workl
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116.10 zł
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