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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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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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Discover the roadblocks you may face in data engineering and keep up with the latest trends such as Delta Lake. This book will help you learn how to build data pipelines that can auto-adjust to changes. Using practical examples, you will implement a solid data engineering platform that will streamline data science, ML, and AI tasks.
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This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help of practical examples, you will learn the principle aspects of trading strategy development. The 14 profitable strategies included in the book will also help you build intuitions that will enable you to create your own strategy.
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This book teaches everything you need to know to jumpstart your own software architecture documentation. Through several elaborate examples, you’ll learn how to write useful documentation that clearly explains the architecture of your software.
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This book helps you master self-service BI and become your team's data hero or launch a new career. You'll learn how to clean data, build models, and use advanced analytics in Power BI to unlock valuable insights and drive better business decisions.
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This book takes a practical approach to Python data analysis, showing you how to use Python libraries such as pandas, NumPy, SciPy, and scikit-learn to analyze a variety of data. You’ll also get up to speed with everything from data manipulation to visualization systematically.
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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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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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This book is your fast-track guide to building smarter, scalable, and AI-integrated TypeScript-based applications using MCP. You'll learn to develop, integrate, and deploy MCP-powered systems with ease.
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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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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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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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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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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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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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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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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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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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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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LaTeX is high-quality open-source typesetting software that produces professional prints and PDF files. With this book, you'll learn to fine-tune texts page layouts, create professional-looking tables, include figures, and write complex mathematical formulas. You'll also be able to manage complex documents and so much more with modern PDF features.
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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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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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With The Computer Vision Workshop, you’ll explore the basic and advanced techniques in video and image processing using OpenCV and Python. It is filled with real-world exercises and activities that will make the learning process easy and enjoyable.
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The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a practical
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Deep Learning is a trending topic in AI currently, as it allows you to make faster and more accurate predictions using the power of neural networks. This book will teach you the process of neural network design, and show you how to develop efficient deep learning applications using Deeplearning4j through practical and easy to implement recipes.
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This book will provide knowledge and hands-on practical experience required to build a good understanding of how modern electronic trading markets and market participants operate. You will learn how to design, build and operate all the components required to build a practical and profitable algorithmic trading business using Python.
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In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it.
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Binary Analysis is a complex and constantly evolving topic, crossing into several realms of IT and information security. The recipes in this book will serve as a good reference for you to get a better understanding of various aspects related to analyzing malware, identifying vulnerabilities in code, exploit writing and reverse engineering.
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Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
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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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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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Apache Spark Deep Learning Cookbook presents useful tips and tricks to overcome any problem related to building efficient distributed deep learning applications on Apache Spark. With the help of this book, you will leverage powerful deep learning libraries such as TensorFlow to develop your models and ensure their optimum performance.
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pkt
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ArcGIS Server is the leading software for developing both web and mobile GIS applications. The ArcGIS API for JavaScript is the preferred way of developing your custom applications for ArcGIS Server since it can be used for both web and mobile application development. It's easy to use and doesn't require the use of a browser plugin. This practical
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134.10 zł
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Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
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134.10 zł
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Informatica PowerCenter Version 10 is one of the most popular enterprise data warehousing tools. From the developer’s perspective, this book covers everything you need to implement an end-to-end Informatica project, starting with working on various sources and targets such as files and databases. This book covers all the transformations in v
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SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) is a cloud-based BI platform being delivered under SaaS terms. It is a business intelligence, planning, and predictive cloud-based application, which helps users blend data from different sources, create compelling data visualization, run ad hoc reporting, and more.
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152.10 zł
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Harness the incredible power of Java-based approaches to data science and create new, innovative applications to explore, visualise and analyse big data. With its tutorial approach and step-by-step instructional style, Java for Data Science is the ultimate data science book for Java developers interested in Java-based data science solutions.
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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 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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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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Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to pro
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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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Modeling guides are often steeped in theory. This book's innovative approach 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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152.10 zł
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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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pkt
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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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pkt
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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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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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188.10 zł
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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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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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When data is presented to you in a graphical or pictorial format, you can analyze it more effectively. This book begins by introducing you to basic concepts, such as grammar of graphics and geometric objects. It then goes on to explain these concepts in detail with examples. Once you are comfortable with basics, you can learn all about the advanced
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80.91 zł
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Teradata, unlike other relational database management systems, is mainly popular because of its faster analytical processing and storage capabilities. This book unveils all the functionality offered by Teradata's analytical platform with the help of practical recipes. From installation to querying, indexing to loading utilities for analytical proce
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The SciPy stack is a popular Python ecosystem used for mathematical and scientific computing tasks. Learn how you can put to use the various functionalities offered by the SciPy stack in the most efficient way possible. With the help of this book, you will solve real-world problems in linear algebra, numerical analysis, visualization, and more.
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scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms.This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers
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107.10 zł
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Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud.You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions.With the help of this book you will be able to setup SQL Server on L
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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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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 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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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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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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3D Graphics Rendering Cookbook is your practical guide to learning modern graphics rendering algorithms and techniques using C++ programming and APIs such as OpenGL and Vulkan. This cookbook is also useful for seasoned classic OpenGL developers who want to migrate their apps to modern OpenGL versions or Vulkan.
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Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.
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This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will ex
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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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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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This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies.
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This practical guide empowers AI and tech leaders to bridge the business–technology divide by optimizing the full AI lifecycle, from strategy and prototyping to scaling and governance, using proven frameworks and enterprise case studies.
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Learn to apply key financial concepts in Power BI, as well as design optimal data model, calculation logic and presentation aspects like dynamic financial statements for budgeting, planning, and valuations.
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Learn how to analyze, transform, and extract insights from data using SQL. This book combines foundational knowledge with hands-on projects, helping you apply SQL to real business challenges and unlock the value in your data.
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This guide takes you from exploring Microsoft Fabric to designing and operating a complete, governed, and scalable data platform. Backed by decades of combined experience, the authors provide a strategic, end-to-end approach to modern analytics.
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152.10 zł
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Dive into the latest Tableau techniques and AI integrations to turn you into a data visualization expert. Whether you're a seasoned data professional or new to Tableau, this guide provides the tools you need to leverage Tableau's full potential.
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Power BI provides several options to solve common data problems, and designing the correct solution for each scenario can be a daunting task. This book makes it easier by guiding you through designing optimal solutions using Power BI.
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pkt
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Advance your Tableau knowledge beyond the basics, streamline dashboard performance, tackle advanced geospatial challenges, and unlock API potential while fortifying your corporate data infrastructure with proven best practices.
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This book offers a complete guide to time series analysis with Apache Spark and Databricks, covering essential concepts and advanced techniques including Generative AI to equip readers with skills for real-world challenges across industries.
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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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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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116.10 zł
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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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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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116.10 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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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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188.10 zł
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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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134.10 zł
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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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107.10 zł
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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 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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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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116.10 zł
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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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116.10 zł
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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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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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116.10 zł
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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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125.10 zł
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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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98.10 zł
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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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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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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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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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125.10 zł
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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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98.10 zł
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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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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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170.10 zł
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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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85.49 zł
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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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98.10 zł
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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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76.49 zł
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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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152.10 zł
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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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89.91 zł
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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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85.49 zł
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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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116.10 zł
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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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98.10 zł
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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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76.49 zł
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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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116.10 zł
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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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134.10 zł
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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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116.10 zł
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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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pkt
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116.10 zł
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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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pkt
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125.10 zł
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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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pkt
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116.10 zł
129.00 zł(-10%)
