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Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
Master the World of Machine Learning – Even if You’re a Complete Beginner.Are you an aspiring entrepreneur? Are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you.Machine learning is the way of the future – and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them.
With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology.
Inside, you the Fundamental Concepts of Machine Learning Algorithms, and Their Impact in Resolving Modern Day Business Problems
Understand The Four Fundamental Types of Machine Learning Algorithm
Master the Concept of “Statistical Learning”, a Descriptive Statistics-Based Machine Learning Algorithm
Dive into the Development and Application of Six of the Most Popular Supervised and Unsupervised Machine Learning Algorithms, With Details on Linear Regression, Logistic Regression And More
Learn Everything You Need to Know about Neural Networks and Data Pipelines
Master the Concept of “General Setting of Learning”, a Fundamental of Machine Learning Development
Overview The Basics, Importance, and Applications of Data Science With Details on the “Team Data Science Process” Lifecycle
And a Free Bonus!
Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this book is a must-read for anyone interested in the world of machine learning.
Buy Now to Discover How You Can Master Machine Learning Today!
With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology.
Inside, you the Fundamental Concepts of Machine Learning Algorithms, and Their Impact in Resolving Modern Day Business Problems
Understand The Four Fundamental Types of Machine Learning Algorithm
Master the Concept of “Statistical Learning”, a Descriptive Statistics-Based Machine Learning Algorithm
Dive into the Development and Application of Six of the Most Popular Supervised and Unsupervised Machine Learning Algorithms, With Details on Linear Regression, Logistic Regression And More
Learn Everything You Need to Know about Neural Networks and Data Pipelines
Master the Concept of “General Setting of Learning”, a Fundamental of Machine Learning Development
Overview The Basics, Importance, and Applications of Data Science With Details on the “Team Data Science Process” Lifecycle
And a Free Bonus!
Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this book is a must-read for anyone interested in the world of machine learning.
Buy Now to Discover How You Can Master Machine Learning Today!
- GenresMathematics
110 pages, Kindle Edition
Published April 25, 2020
86 people are currently reading
256 people want to read
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Displaying 1 - 4 of 4 reviews
September 15, 2020
A look into the future?
The future looks like it will be even more tech based than it is now with machines being almost indistinguishable from humans. If you hope to be at the forefront of this revolution, then the author believes you will have to have a strong knowledge of machine learning mathematics. If you are in software development the author also believes knowing machine learning mathematics will give you that competitive edge you will need to develop some innovative technology like Alexa or Siri were in their era. I found this is be an interesting read full of great info.
The future looks like it will be even more tech based than it is now with machines being almost indistinguishable from humans. If you hope to be at the forefront of this revolution, then the author believes you will have to have a strong knowledge of machine learning mathematics. If you are in software development the author also believes knowing machine learning mathematics will give you that competitive edge you will need to develop some innovative technology like Alexa or Siri were in their era. I found this is be an interesting read full of great info.
September 26, 2020
Machine learning
This book takes thru the types of machine learning to the concepts and then to the logarithm that can assist you. It then tells about the neutral and how to put It all together for AI. I recommend this book to anyone wanting to learn more or perfect their techniques.
This book takes thru the types of machine learning to the concepts and then to the logarithm that can assist you. It then tells about the neutral and how to put It all together for AI. I recommend this book to anyone wanting to learn more or perfect their techniques.
September 11, 2020
So interesting
I thought this book was interesting. It really explained how machines and gathering data assist with learning. I loved,the section on TDAP, it was really clarifying. A good read for those wanting to use technology.
I thought this book was interesting. It really explained how machines and gathering data assist with learning. I loved,the section on TDAP, it was really clarifying. A good read for those wanting to use technology.
September 11, 2020
Detailed
Lots of detail in machine learning. The writing is a little technical with lots of terminology, so it may be difficult for some people to make sense of. Thorough.
Lots of detail in machine learning. The writing is a little technical with lots of terminology, so it may be difficult for some people to make sense of. Thorough.
Displaying 1 - 4 of 4 reviews