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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 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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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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As machine learning algorithms become more powerful, data scientists need a clear grasp of their key components. This book explains the core math principles underpinning the most used algorithms, detailing their importance and practical applications.
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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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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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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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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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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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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 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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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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Start your quest in quantum computing the right way with an understanding of the math that undergirds it, or come back to the math you may have missed when you started learning quantum computing. This book covers linear algebra, complex numbers, and probability - just enough for you to master all the math needed for quantum computing.
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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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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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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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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 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 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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Dancing with Qubits, Second Edition, is a quantum computing textbook that explains how quantum computing works in detail and discusses the implications it has for computer applications of the future.
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Master data stewardship with industry best practices for building an effective data governance framework to optimize your workforce, processes, and technology, and elevate your organization's data maturity.
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This book will help you gain expertise in genetic algorithms, how they work, and when and how to use them to create Python-based apps. By the end of this book, you'll have hands-on experience in applying genetic algorithms to AI and other domains.
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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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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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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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Predict the future with confidence with this practical guide on building and deploying powerful time series forecasting models. New content on transformers and probabilistic modeling makes it a must-read for tackling complex forecasting challenges.
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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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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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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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Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.
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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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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 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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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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This book will guide you through the core components of the Elastic Stack and how they work together to solve your data problems. You’ll look at how the stack can be best leveraged to build and deliver powerful solutions to tackle real-world search, observability, and cybersecurity use cases.
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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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This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain.
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The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you’ll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari.
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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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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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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 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 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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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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This is a reference handbook that’ll enable enterprise data and AI architects to create best-in-class architectures for data engineering, data science, data warehousing, and data serving on Azure. This book also serves as a reference to help cloud architects to understand the operations required for building optimal architectures.
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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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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 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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Python Feature Engineering Cookbook, Third Edition, walks you through tools and methods to craft powerful features from tabular, transactional, and time-series data for robust machine learning models.
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This book is for executives without a formal machine learning education who need to make complex decisions about data science. In this book, you'll learn the fundamentals of data science and managing data teams to become an effective data leader.
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Discover the fundamentals & advanced techniques of Python. This course equips you to tackle computational problems and optimize your solutions. Perfect for technical professionals seeking to deepen their understanding of Python and algorithms.
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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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Approach data science interviews with confidence with this one-stop guide focused on Python programming, SQL, shell/bash, version control, statistics, and ML modeling. No need to scan the internet for technical interview prep material—it's all here!
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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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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 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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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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Gain in-depth knowledge of the essential resources and tools required to extract valuable insights from blockchain data with this comprehensive guide empowering you to contribute to the evolution of the next-generation internet.
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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 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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pkt
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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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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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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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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 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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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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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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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 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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pkt
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Microsoft Power BI Performance Best Practices will help developers and solution architects make architectural design choices that ensure solutions are efficient and can perform at high user and data scale. You'll learn with the help of unique tips and tricks along with best practices that will enable you to optimize every layer of Power BI.
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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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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
e_3a1a/e_3a1a.mp3
e_3a1a
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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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pkt
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Power BI is a business intelligence and analytics services tool by Microsoft designed to provide visual and interactive insights into data. This book will provide thorough, technical examples of using all primary Power BI tools and features as well as demonstrate high impact end-to-end solutions that leverage and integrate these technologies and se
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pkt
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Affinity Designer is a powerhouse design and illustration application popular for its speed and smooth interface. With this hands-on, easy-to-follow guide, you'll build a solid foundation in Affinity Designer and a base for in-depth exploration, while also gaining the confidence and knowledge to add Affinity Designer to your creative toolset.
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pkt
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This book helps you understand the basic concepts and techniques of using Azure Synapse step-by-step. You'll gradually gain the skills you need to work with data and develop analytics solutions using the Azure analytics platform even with no prior knowledge of Azure.
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pkt
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Threat hunting is the act of proactively tracking and eliminating adversaries from your network as early as possible. Practical Threat Intelligence and Data-Driven Threat Hunting covers both threat intelligence and the act of threat hunting from the first steps to advanced practices.
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Put your data science knowledge to work with this practical guide to statistics. You’ll understand the working mechanism of each method used and find out how data science algorithms function. This book will help you learn the statistical techniques required for key model building and functioning using Python.
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The Data Science Workshop equips you with the basic skills you need to start working on a variety of data science projects. You’ll work through the essential building blocks of a data science project gradually through the book, and then put all the pieces together to consolidate your knowledge and apply your learnings in the real world.
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The Deep Learning with Keras Workshop outlines a simple and straightforward way for you to understand deep learning with Keras. Starting with basic concepts such as data preprocessing, this book equips you with all the tools and techniques required for training your neural networks to solve various modeling problems.
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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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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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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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This book will help you bring business intelligence capabilities using Power BI in order to make smarter decisions. You will learn data modeling, visualizations, and analytical capabilities from scratch using hands-on examples. By the end of this book, you will learn the extensive features of Power BI and how to use them to unlock business insights
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This book will be a handy guide to quickly learn pandas and understand how it can empower you in the exciting world of data manipulation, analysis, and data science. You will learn how to use pandas to perform numeric and statistical analysis using real-world examples. You will also visualize statistical data and apply pandas to different domains.
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This book will help you perform effective data analysis with Scala using practical examples. You will come across different challenges and their effective solutions for a variety of data processing tasks - be it data exploration, data manipulation, or real-time data analysis using Apache Spark.
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The SAP BusinessObjects Business Intelligence platform is a powerful reporting and analysis tool. This book is the ideal introduction to the SAP BusinessObjects Business Intelligence platform, introducing you to its data visualization, visual analytics, reporting, and dashboarding capabilities.
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This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart predictions
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With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.
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Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more.
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Big data modeling is very challenging to handle using traditional database modeling and management systems. This book will teach you how to model big data using the latest and more efficient tools such as ERWIN, ANACONDA (Python), and WEKA to model data.
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Learn how to utilize Microsoft SQL Server with NoSQL concepts for data science challenges. This book will help enhance your knowledge beyond data querying & processing tasks by implementing a data science pipeline. We will implement data science tasks and show how to use them on a day-to-day basis for efficient smart predictive models.
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Data exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization. Redash is a querying and visualization tool developed to simplify how marketing and business development departments are exposed to data. If you want to learn to create interactive dashboards with Redash, explore different
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This book demonstrates various machine learning techniques and their implementation in JavaScript. Build models to power your applications with smart, predictive features. From predicting future prices, analyzing sentiments to medical diagnosis, this book shows you how to use the power of JavaScript to build efficient machine learning systems.
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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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AWK is one of the powerful utility which exists in all Unix and Unix-like distributions. This book covers the structure and the control flow of AWK program, regular expressions, and use of different operators to carry out various text processing and mining tasks. This book is packed with unique practical examples to practice AWK programming.
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Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites, proxies, and more. By the end of this book, you will be able to scrape websites more efficiently with more accurate data, and how to package, deploy and operate scr
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Power BI is a business intelligence and analytics services by Microsoft designed to provide visual and interactive insights into data. With the help of technical examples, this book will help you explore Power BI tools and features and demonstrate the use of end-to-end solutions that integrate them to get more out of Power BI.
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In the past year, Apache Spark has been increasingly adopted for development of distributed applications. Spark SQL APIs provides an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Understanding the design and imple
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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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HoloLens, Microsoft’s innovative augmented reality headset, overlaps holograms into a user’s vision of their environment. Your ideas are closer to becoming real when you can create and work with holograms in relation to the world around you. If you are dreaming beyond virtual worlds, beyond screens, beyond pixels, and want to take a b
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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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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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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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Modern Data Architectures with Python allows you to adopt a hands-on approach to learning the latest data tooling and techniques needed for architecting data solutions. The topics covered in this book, along with practical examples, will radically transform your data practice.
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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 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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This book on marketing analytics with Python will quickly get you up and running using practical data science and machine learning to improve your approach to marketing. You'll learn how to analyze sales, understand customer data, predict outcomes, and present conclusions with clear visualizations.
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MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and administration.
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This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. Explore a data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.
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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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The most commonly used GIS tools automate tasks that were historically done manually—compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operat
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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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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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Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics such as MapReduce, YARN and HDFS.
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