5-star Rated Fundamentals Of Machine Learning For Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, And Case Studies Slash 55% Off The Price [YmSIZM5x]

Fundamentals of Machine Learning for Predictive Analytics

Welcome to the second edition of "Fundamentals of Machine Learning for Predictive Data Analytics," a comprehensive guide designed for both beginners and seasoned professionals. This book offers a detailed exploration of machine learning approaches, emphasizing both theoretical concepts and practical applications. With a focus on predictive data analytics, it equips readers with the knowledge to build predictive models using patterns extracted from large datasets. Key features include a new chapter on deep learning, as well as expanded coverage of unsupervised and reinforcement learning. Accessibly written, this book provides nontechnical explanations followed by mathematical models and algorithms, ensuring a solid understanding of core concepts.

Comprehensive and Accessible Content

"Fundamentals of Machine Learning for Predictive Data Analytics" is structured to enhance learning and practical application. The book includes explanatory worked examples and case studies that illustrate the application of machine learning models in various business contexts. Here's what you can expect:

• Worked Examples: Gain hands-on experience with real-world scenarios.
• Case Studies: Understand the full lifecycle of data analytics projects.

Technical and mathematical material is augmented with clear, concise explanations, making the book suitable for both introductory courses and as a reference for professionals seeking to deepen their understanding of machine learning.

Practical Applications and Target Audience

Whether you're a student looking to explore the field of machine learning or a professional seeking to enhance your data analytics skills, this book is an invaluable resource. It covers a range of practical applications, including price prediction, risk assessment, and customer behavior analysis. Here are some of the benefits and scenarios where this book will be highly beneficial:

• Business Applications: Apply machine learning to real-world business problems.
• Academic Use: Serve as a textbook for introductory machine learning courses.

"Fundamentals of Machine Learning for Predictive Data Analytics" is your gateway to mastering predictive data analytics and unlocking the potential of machine learning in your career or studies.