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CompTIA DataX Study Guide
  • Language: en
  • Pages: 536

CompTIA DataX Study Guide

Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a data science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of machine learning; data science operations and processes; and specialized applications of data science. This up-to-date Study Guide walks you through...

Practical Machine Learning in R
  • Language: en
  • Pages: 464

Practical Machine Learning in R

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, dem...

CompTIA Tech+ CertMike: Prepare. Practice. Pass the Test! Get Certified!
  • Language: en
  • Pages: 491

CompTIA Tech+ CertMike: Prepare. Practice. Pass the Test! Get Certified!

Prepare for, practice, and pass the CompTIA Tech+ certification exam on your first try In the newly updated second edition of CompTIA Tech+ CertMike: Prepare. Practice. Pass the Test! Get Certified! for exam FC0-U71, veteran IT expert and IT educator, Mike Chapple, skips the fluff and dives straight into exactly what you need to ace the entry-level CompTIA Tech+ certification exam on your first try. Filled with the kind of no-nonsense, straight-to-business info you're looking for, the book includes coverage of every relevant exam domain, a full practice exam, and additional multiple choice practice questions with detailed answer explanations. You'll learn all about IT infrastructure, softwar...

Indiana Manufacturers Directory
  • Language: en
  • Pages: 1120

Indiana Manufacturers Directory

  • Type: Book
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  • Published: 2006
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  • Publisher: Unknown

None

CompTIA ITF+ CertMike: Prepare. Practice. Pass the Test! Get Certified!
  • Language: en
  • Pages: 457

CompTIA ITF+ CertMike: Prepare. Practice. Pass the Test! Get Certified!

The leading, no-nonsense guide to get you up to speed on the fundamentals of IT In CompTIA ITF+ CertMike: Prepare. Practice. Pass the Exam! Get Certified! Exam FC0-U61, experienced tech education guru Mike Chapple delivers an essential and efficient guide to acing the ITF+ (IT Fundamentals+) exam administered by CompTIA. In the book, you’ll get access to every objective tested by the foundational exam, including IT concepts and terminology, infrastructure, applications and software, software development, database fundamentals, and security. Ace the test using the proven CertMike approach: Prepare -- CertMike is your personal study coach, guiding you through all the exam objectives and help...

CompTIA Data+ Study Guide
  • Language: en
  • Pages: 482

CompTIA Data+ Study Guide

Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guide CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers. With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers: All the information necessary to ...

Machine Learning
  • Language: en
  • Pages: 432

Machine Learning

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how...

CompTIA DataX Study Guide
  • Language: en

CompTIA DataX Study Guide

  • Type: Book
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  • Published: 2024-08-13
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  • Publisher: Sybex

Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a data science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of machine learning; data science operations and processes; and specialized applications of data science. This up-to-date Study Guide walks you through...

Advances in Financial Machine Learning
  • Language: en
  • Pages: 406

Advances in Financial Machine Learning

Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.