Data Science Language

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. 

This comprehensive guide to Microsoft Azure Data Engineering is designed to elevate your skills in data analytics, pipeline development, and Azure cloud solutions. Dive deep into essential concepts like data integration, ETL, SQL, Data Lakes, storage management, Data Governance, Data Strategy and big data architecture. This eBook is a Number #1 Best Seller in the following categories: #1 Data Warehousing #1 Computer Engineering #1 SQL Programming In today's job market, skilled Azure Data Engineers are rare, and their compensation reflects that rarity. They enjoy substantial salaries and the...

If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine LearningIn the modern business world, the pace of action continues to quicken. Businesses ...

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. 

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Have you ever felt lost in knowing how your business is actually doing? Were you surprised by events that you didn’t see coming? Did you spend sleepless nights wondering whether or not your company was going to make it? Then Data is for you. This data-driven handbook is the third installment of the Traction Library’s EOS Mastery Series that provides all the tools you need to build an environment of transparency and get better results through clarity and accountability.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

This program is read by the author and includes a bonus interview with the author. “Engaging and entertaining, this work is essential listening for anyone following the potentially explosive development of AI.” —AudioFile Shortlisted for the Women’s Prize for Nonfiction A riveting story...

“A practical, heartfelt manual for anyone who needs to change minds and actions. Lisa Cron shares the art of practical empathy with leaders who care enough to make a difference.”—Seth Godin, author of The Practice A step-by-step guide to using the brain’s hardwired need for story to...

Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media...

Al doesn't have to be intimidating. It can be practical, simple, and genuinely useful - starting today. In AI BASICS: Your Personal Guide to Understanding and Using Artificial Intelligence, Skylah Tech strips away the confusion and gives you a clear, step-by-step path to using Al with confidence - no technical background required. Whether you're a business owner, educator, student, or simply curious about what Al can do, this friendly guide shows you how to turn Al into a helpful tool for everyday life and work. Inside, you'll learn how to: • Understand what Al actually is (without the ...

Discover How Mathematics Powers the World of AI! Are you fascinated by the science behind AI? Do you want to understand the mathematics driving today’s most innovative technologies? “How Math Shaped the AI” provides the step-by-step guidance you need to unravel the mathematical principles behind artificial intelligence and machine learning. Do you find advanced math concepts intimidating? Are you searching for a clear, approachable resource to deepen your AI knowledge? Overcome Your Struggles with AI Mathematics – We've Been There! We understand how challenging it can be to grasp ...

Analytics is the systematic use of data, statistical analysis, and computational methods to discover patterns, generate insights and make informed decisions. It involves Descriptive, Diagnostic, Predictive Prescriptive tools and methods. Augmented Analytics is the use of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to automate manual data preparation, analyzing the data and draw inferences and conclusion for faster decision making. According to Gartner Augmented analytics is defined as a tool which automates insight generation using AI and ML to...

"Graph Database Modeling With Neo4j" is a comprehensive textbook designed to provide a thorough grounding in the principles, design, and application of graph databases, specifically using the industry-leading Neo4j platform. It serves as both a foundational guide for newcomers and a practical reference for advanced learners. Philosophy The core philosophy of this book is "learning by doing." I believe that true mastery of a technology like Neo4j comes not from abstract theory alone, but from hands-on application and problem-solving. Every concept is introduced with a clear "why" before ...

Break the Code, Be Part of the Inner Circle Imagine a world where you have the power to create anything you can dream of, where your ideas come to life with just a few lines of code. Welcome to the exciting and boundless world of programming! If you are looking to start your journey into coding, "Code Breakers: Understanding The Language of Computers" is the perfect guidebook to help you navigate this exhilarating landscape. The goal of this book is to introduce you to the fundamentals of coding in a fun, engaging, and accessible way. But why learn to code, you might ask? In today's digital...

The modern world runs on data — this is the book that shows you how to design the systems behind it. In today’s digital age, data isn’t just fuel — it’s the engine that powers everything from financial transactions and personalized recommendations to artificial intelligence and global-scale analytics. Yet, while technology evolves at a breathtaking pace, the fundamental challenge remains the same: how do we design systems that are reliable, scalable, and intelligent enough to keep up? Modern Data Systems: Designing Reliable, Scalable, and Intelligent Applications by Daniel R. Holt...

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a more thorough understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go. It focuses on the specification and implementation of the language, including topics like language syntax, Go's type system, concurrency, channels, and testing.