Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Buy

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully.

Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code.

Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered.

Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment.

Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem.

Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today!

What You'll Learn
  • Execute end-to-end machine learning projects and systems
  • Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks
  • Review case studies depicting applications of machine learning and deep learning on diverse domains and industries
  • Apply a wide range of machine learning models including regression, classification, and clustering.
  • Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning.
Who This Book Is For


IT professionals, analysts, developers, data scientists, engineers, graduate students
(HTML tags aren't allowed.)

How To Do Everything with Contribute
How To Do Everything with Contribute
Update Web site content without knowing anything about HTML or Web page design! How to Do Everything with Macromedia Contribute will show you, step-by-step, how to edit text online, swap pictures and graphics, add links, and make all kinds of changes to Web pages without the time or expense of consulting a Web designer. Plus--work with...
The Software Development Edge: Essays on Managing Successful Projects
The Software Development Edge: Essays on Managing Successful Projects

The new software management classic: in-the-trenches wisdom from legendary project leader Joe Marasco

Over the course of a distinguished career, Joe Marasco earned a reputation as the go-to software project manager: the one to call when you were facing a brutally...

Damage Mechanics in Metal Forming: Advanced Modeling and Numerical Simulation (Iste)
Damage Mechanics in Metal Forming: Advanced Modeling and Numerical Simulation (Iste)

The aim of this book is to summarize the current most effective methods for modeling, simulating, and optimizing metal forming processes, and to present the main features of new, innovative methods currently being developed which will no doubt be the industrial tools of tomorrow. It discusses damage (or defect) prediction in virtual metal...


Market Timing For Dummies (Business & Personal Finance)
Market Timing For Dummies (Business & Personal Finance)
Want to improve your market timing so you can send your investment returns soaring? Market Timing For Dummies takes the guesswork out of developing a trading strategy and provides all of the tools you need to forecast, prepare for, and take advantage of market trends and changes.

This authoritative guide is packed with expert...

System Modeling and Optimization : Proceedings of the 21st IFIP TC7 Conference
System Modeling and Optimization : Proceedings of the 21st IFIP TC7 Conference
This paper initiates a mathematical theory of aeroelasticity centered
on the canonical problem of the flutter boundary — an instability endemic
to aircraft that limits attainable speed in the subsonic regime.
We develop a continuum mathematical model that exhibits the known
flutter phenomena and yet is amenable to analysis
...
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...
©2021 LearnIT (support@pdfchm.net) - Privacy Policy