Machine Learning Algorithms

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide

About This Book
Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.
Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation.
Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide.
Who This Book Is For
This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here.

What You Will Learn
Acquaint yourself with important elements of Machine Learning
Understand the feature selection and feature engineering process
Assess performance and error trade-offs for Linear Regression
Build a data model and understand how it works by using different types of algorithm
Learn to tune the parameters of Support Vector machines
Implement clusters to a dataset
Explore the concept of Natural Processing Language and Recommendation Systems
Create a ML architecture from scratch.
In Detail
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and