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Deep Learning Fundamentals for Beginners
This book is for you.
This book works as guide to present fundamental concepts, theory, examples related to Deep Learning.
This book is written for beginners and novices who want to develop fundamental data science skills and learn how to build models that learn useful information from data. This book will prepare the learner for a career or further learning that involves more advanced topics. It contains an introduction and fundamental concepts used in data science and deep learning. The learner does not need to have any prior knowledge of machine learning or deep learning, but some basic understanding of mathematics is required.
This book assumes that you know nothing about deep learning. Its goal is to give you the concepts, the intuitions, and the tools you need to actually learn how deep learning works and how and when to use it.
You will learn all about statistics, Probability, Machine Learning. Fundamentals and Deep Learning. All the modules will contain examples and images to help beginner understand.
The book is extensively tested by a group of beta readers. The contents provided are simplified as much as possible so that they can serve as starting point for you to more advanced courses.
This book is written with one goal in mind – to help beginners overcome their initial obstacles to learn Deep Learning from Scratch.
A lot of times, newbies tend to feel intimidated by Data Science Models and Coding.
The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals and keys concepts before start working on a real project.
Beginners in Data Science does not have to be scary or frustrating when you take one step at a time.
This book works as guide to present fundamental concepts, theory, examples related to Deep Learning.
This book is written for beginners and novices who want to develop fundamental data science skills and learn how to build models that learn useful information from data. This book will prepare the learner for a career or further learning that involves more advanced topics. It contains an introduction and fundamental concepts used in data science and deep learning. The learner does not need to have any prior knowledge of machine learning or deep learning, but some basic understanding of mathematics is required.
This book assumes that you know nothing about deep learning. Its goal is to give you the concepts, the intuitions, and the tools you need to actually learn how deep learning works and how and when to use it.
You will learn all about statistics, Probability, Machine Learning. Fundamentals and Deep Learning. All the modules will contain examples and images to help beginner understand.
The book is extensively tested by a group of beta readers. The contents provided are simplified as much as possible so that they can serve as starting point for you to more advanced courses.
This book is written with one goal in mind – to help beginners overcome their initial obstacles to learn Deep Learning from Scratch.
A lot of times, newbies tend to feel intimidated by Data Science Models and Coding.
The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals and keys concepts before start working on a real project.
Beginners in Data Science does not have to be scary or frustrating when you take one step at a time.
167 pages, Kindle Edition
Published January 18, 2020
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