Machine Learning: Your Ultimate Guide for Concepts, Tools & Techniques

Machine Learning: A Three Books Bundle: Your Ultimate Guide for Concepts, Tools & Techniques
Machine Learning: From Zero to Hero | From Noob to Pro | From Beginner to Advanced
A Bundle of Three Books: Mastering Machine Learning Basics, Algorithms, Python, R and Advanced Machine Learning Models
Hello! Welcome to Bundle of Machine Learning Books using Python & R. It's possible that you've picked this up with some initial interest, but aren't quite sure what to expect. In a nutshell, there has never been a more exciting time to learn and use machine learning techniques, and working in the field is only getting more rewarding. If you want to get up-to-speed with some of the more advanced Machine Learning techniques and gain experience using them to solve challenging problems, this is a good book for you!
Machine Learning Engineers earn on average $166,000 - become an ideal candidate with this Bundle!

Description:

Bundle consists of following:

Book 1: Beginner’s Guide to Machine Learning

• Introduction to Machine Learning
• Mathematical Foundation for Machine Learning & AI
• Programming Languages for Machine Learning
• Overview of ML Libraries

Book 2: Intermediate's Guide to Machine Learning

• Python for Machine Learning
• R for Machine Learning
• Supervised Machine Learning: Regression & Classification
• Data Processing
• Natural Language Processing

Book 3: Advanced Machine Learning

• Unsupervised Machine Learning
• R for Machine Learning
• Artificial Neural Networks & Convolutional Neural Networks
• Deep Learning
• Machine Learning with TensorFlow
• Pattern Recognition, Face Recognition & Image Recognition
• Python & R Codes for Machine Learning Algorithms

Interested in the field of Advanced Machine Learning? Then this book is for you!
The rapid development of machine learning applications is fueled by an ongoing struggle to continually innovate, playing out at an array of research labs. The techniques developed by these pioneers are seeding new application areas and experiencing growing public awareness. While some of the innovations sought in AI and applied machine learning are still elusively far from readiness, others are a reality. Self-driving cars, sophisticated image recognition and altering capability, ever-greater strides in genetics research, and perhaps most pervasively of all, increasingly tailored content in our digital stores, e-mail inboxes, and online lives.