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. 

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 ...

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 ...

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.

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...

Artificial Intelligence Explained is a clear, practical, and beginner-friendly guide to understanding the fascinating world of AI. Whether you're a student, professional, teacher, entrepreneur, or simply curious about Artificial Intelligence, this book explains complex concepts in simple language using everyday examples and easy-to-understand analogies. You'll learn what Artificial Intelligence is, how it differs from traditional programming, and how technologies such as Machine Learning, Deep Learning, Neural Networks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), ...

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

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...

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. 

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.

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.

Book Title: Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application Unlock the full potential of AI-driven interactions with the definitive guide to prompt engineering. "Handbook for Prompt Engineering: A Complete Guide and Examples for Prompt Engineering Science from Scratch to Application" provides an authoritative and comprehensive exploration of the principles, techniques, and best practices essential for mastering prompt engineering in natural language processing (NLP) and artificial intelligence (AI). About the Book: ...

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...

Your comprehensive guide to mastering The Data Component of your EOS Model—taking you from uncertain to unstoppable. 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...

“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...

"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...

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.

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...