Machine Learning : A Complete Guide For Beginners To Mastering The Fundamentals Of Ml. Learn About Machine Learning, Artificial Intelligence, Deep Learning And Their Application In Finance And Business

Are you completely new to the world of programming, and wondering if a path in machine learning is for you? Are you already a programmer in other fields, but you are intrigued by the possibilities the world of machine learning has to offer? If you answered yes to any of the questions above, then this guide is for you. In this guide, Mike Cowley demystifies the world of machine learning and shows you what you need to do to become an expert in this field. Mike helps you get rid of information overload by providing clarity, helping you take the first steps into the exciting world of machine learning. Among the insights contained in this guide, you're going to discover: Everything you need to know about Machine Learning as a beginner: What it really is, Its history, how it works and what the future looks like for ML practitioners (Hint: It's bright!) What you'll need to get started with machine learning as a beginner The machine learning toolbox you need if you want to become an effective programmer Myths about machine learning and artificial intelligence that widely popular but completely wrong How to effectively use machine learning to get rid of bottle-necks in high-impact industries The 7 types of machine learning used in modern computing The subtle, but important difference between machine learning and artificial intelligence ...and tons more! Whether you're new to the world of programming or you're an experienced machine learning practitioner with years under your belt, this guide contains everything you'll need--from information and use cases--to help you develop your skills and take your projects to the next level. Scroll up and click the "add to cart" button now to master the art of machine learning!

Author: Mike Cowley

Publisher: Independently Published

Publication Date: Oct 31, 2019

Number of Pages: 152 pages

Language: English

Binding: Paperback

ISBN-10: 1700195123

ISBN-13: 9781700195128