Machine Learning for Smart Learners

Discover and Learn About Neural Network, Dataset, Python, Libraries and Applications to Build Intelligent Systems

By: Melvin Doyle

Narrated by: Valentina Di Paola

Length: 3 hrs and 31 mins

Publisher's Summary

Discover how to break into the highly lucrative field of deep learning and artificial intelligence with this handy and comprehensive guide to machine learning!

Are you looking for a practical guide to help get started with machine learning, but don't want to spend money on boring, dense textbooks and overpriced online video courses? Do you want to uncover how machine learning really works and learn how to use it to solve real problems?

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.

Here's a preview of what you're going to discover in Machine Learning for Smart Learners:

• Everything you need to know about machine learning and how it works
• Real-world use cases and application of machine learning in the finance industry
• Ways for using machine learning to deal with data and extract useful insights from large data sets
• Foolproof data pre-processing techniques used by data scientists and machine learning experts
• The five-step guide to create a data cleaning process that works effectively
• The three-steps to take if you're a complete beginner and want to learn how to program in Python for machine learning
• A crash guide to master Python programming fundamentals, from Python syntax and arrays to libraries and frameworks
• Steps to get out of the tutorial limbo and begin to work on your own projects
• And much more!

Whether you're completely new to the world of machine learning and Python programming and have no coding experience, or you're a seasoned programmer looking to add Python to your coding skill set, the insights and practical advice in this guide will help you get off to the right start with machine learning.

©2019 Melvin Doyle (P)2019 Melvin Doyle

This is a joke or a hoax

The narrator can't pronounce english. Most sentences include a word which is pronounced in a way that is not understandable. Unbearable. I want my money back.

be ready to rewind often

if you know anything about ML at all, there's not much to be learned here.
worse is the performance. I know I sound very or if place in other languages, which is why is never attempt a voiceover project in French or Czech. it sounds like she's a B2 level English speaker. pronunciation is so far off that it's difficult at times to understand the words. did you say salary or celery? var-eye-ble? ugh

Knowledge Resource

A book full of information on creating, building from scratch a neural network for the beginners. If you have no idea on neural network this is a good start and if you need to improve and need clarify this is a good listen for that too. The visual presentation makes it easy to present and clarify the fundamentals and from beginning with the use of libraries is well explained.

This book was fantastic.

I was worried the formatting would be an issue on my kindle but…considering it’s like a textbook…it was very easy to listen and follow along with on my kindle device.
I was able to build a neural network after about three sessions, and I have not really had any python or coding experience before this.
If you're just interested in really understanding how neural networks operate then this is by far the best beginners guide I've found.

Excellent and informative listen

easy to listen, and informative guide on neural networks, a topic that is useful for analysts and philosophers alike. In the opening chapters, Taylor explains the basic premises and components of neural networks, and their various functions.
I've listen a few other books in this series, and they are very helpful for getting a clear introductory understanding of a complex topic.

A great illustrated guide

Make Your Own Neural Network: Here is a book for programmers and beginners in programming using python, a well-illustrated step-by-step guide that is written in a simplified language that makes it accessible to a wide audience. The author does a wonderful job in providing practical examples in the work. Here is a book for you if you are interested in neutral networks and would want to program them yourself.

Great and Informative Guide

As someone who knows very little about neural networks, I found this book to be an incredibly helpful resource. From the very beginning, it set up a clear understanding that the book was for beginners and broke down the information in a way that made sense. The first chapter gives a brief overview of the topic which is a great way to get started and proceeded to give a detailed and comprehensive explanation of everything you need to know as a beginner. What set this book apart for me as a guide to the subject was the way in which the book implemented images and graphs to make the concepts come to life. This really helped me solidify what the text was telling me. I also found that the definitions, clear explanations, examples, and tone of the book as it felt like it was really speaking to me and taking me through the book and the process, were all key factors into making this a helpful guidebook that I would definitely recommend.

It has everything that a beginner's guide should

Neural networks are a highly relevant topic and even if you don't intend necessarily to build one, it is good to understand it. It will very likely make a big part of our near future.
For an absolute beginners, this is a very good book. It has everything that a beginner's guide should have, like plain and clear explanations of concepts.

Impressively helpful

I was a little nervous to approach this book, because technology and math aren’t my strong suits, but I am still very interested in them. Luckily, this book was able to help me in a wide variety of ways and gave me a basis to go on when it comes to neural networks. However, the most useful aspect was the links provided to help me brush up on topics that will help me better understand this text.

I feel it helped me

If you are like me and have a wide range of interests, and one of them is neural networks, this is your kind of book. I always wanted to be a brain surgeon growing up, I got to biology in high school and realized networks of any type were hard for me to grasp, so that plan fell to the side. Computer networks are easier to grasp, yet are vast and you must have a basic understanding of all the facts before you can really grasp the entirety of it, or at the very least, a semblance thereof.. This book is for beginners, to a certain degree.