Deep Learning

Machine Learning and Data Analytics Explained

By: David Feldspar

Narrated by: Jason R Gray

Length: 10 hrs and 36 mins

Publisher's Summary

Big data can tremendously improve a company’s performance.  

Audiobook one: All organizations, especially larger ones, face this one dilemma: sorting and reading the big data. Whether it’s a business, NGO, or another organization, patterns and numbers need to be understood to keep management as effective as possible. This audiobook solves all kinds of problems any entrepreneur, accountant, or manager can use.  

Audiobook two: Many company owners or accountants don’t look at all the numbers, misread the numbers, or don’t know how to scale faster and more effectively.  

Audiobook three: The lofty expectations about machine learning and deep studies and projects have skyrocketed, and yet there is so much left to be said about the methods that trigger the higher-functioning corners of the human neural networks. With so many data and investments on the line, how can we deepen our understanding of these subjects? That is where this guide will take you to the next level. It touches on exactly those problems and methods that optimize your financing and comprehension of the little details that often get overlooked.  

Audiobook four: The modern-age machines can deepen and quicken our comprehension of numerous areas and fields. Should we come across such enlightening logic, we better take in all the information we can get, especially if our operating in such a field requires such advanced skills.  

Audiobook five: Reinforcement learning has to be one of the most prevalent study techniques in artificial intelligence. It is considered to be a computational approach to learning, in which someone makes attempts to capitalize on the total amount of rewards it obtains when cooperating with a multifaceted, inexact setting.  

Audiobook six: A fresh perspective from an educated point of view is what will be presented in this elaborate guide. The listeners of this hidden gem will discover how agents and the environment are developed and correspond with each other. 

Audiobook seven: In a time when everyone is trying to advertise online and offline, the meaning people attach to a word can be significant. With all the unstructured data out there, and the guidance we need to take texts apart and look at them from a logical perspective, analyzing skills have become mandatory to any individual working in marketing, text-content creation, or otherwise. 

Audiobook eight: Become more acquainted with the guiding principles of writing in a certain way, understanding language and tone in specific texts, and using existing models to analyze each and every word in relation to each other. 

©2018 David Feldspar (P)2018 David Feldspar

Informative and very comprehensive

Just like with all technical books, the value you'll get here depends on where in the learning curve you are. This manual is a magnificent walk-through if you just started your journey through the AI, giving you all the fundamentals you have to know before getting into the practical part and learning to create your own deep learning codes

Excellent Audio Book!

What I love the most from the audio book is the parts “The different types of machine learning and what they are used for & Several applications of the technology already in use today”. Very informative, useful and well explained.

Fantastic!

This is not my area of expertise and I purchased this Audio book to learn about it. I have listened to this audio book, excellent development and comprehensive coverage of topic.Deep learning is an excellent guide to machine learning.

Interesting to listen to

Deep learning can be used in making more accurate predictions, so we can better plan for the future. Whether it is weather changes or fluctuations in stock prices, knowing what is more likely to happen tomorrow, next month or next year are important factors that can help us make many important decisions in our life.

No complaints at all

I really enjoyed listening to this book. The information is something I was looking for. Saying that, it delivered what I expected. No complaints. I loved it!

Overall a great overview of applications and techniques of machine and deep learning.

Overall I liked the book. The beginning was a little slow and a bit redundant with little discussion of the mathematical underpinnings of big data science. However, the Deep learning section compensated for the generalities introduced in the first section. Recommend adding a little more data science in the first 50 chapters.

Learn more!

This is a great guide for learning text analytics, deep and reinforcement learning, big data, and machine learning.

Text and reinforcement

The best guide to data learning, deep learning and analytics in my eyes. So go get it and don't get anything shorter than this.

Deep things

I liked the book because it really helps you analyze big data and texts, so I think it was valuable.

Wow! That was something!

Are you kidding?! This is the best book I've ever heard. Aaaaaaaaaaaaaaah! So cool! YEs!

very good for business people +entry level devs

really useful for business people who look to understand the architecture and engineering concepts behind the technology that's dominating the IT scene. could do with some additional in-depth explanation of some architectural concepts. overall, I found it very informative.

Analytics and stats

It's nice to get a big book box set or whatever it is called, and listen to it in a relaxed way, taking in the information.

Excellent!

I thought the information in this book was well researched. A little repetitive a few times, but not to the point that it bugged me. A little repetition is good for remembering the facts anyway.

Data analyses

I think this bundle is an excellent example of how to create content that everyone in that niche will enjoy.

Deep learning

Deeper and deeper. This was a complicated number of facts and figures, but very helpful nonetheless.

Deep

This was a deep book and it over-delivered in my opinion. You can learn a lot from text analytics and stuff.

Best learning guide!!

I loved this guide and I think my analytical skills have improved just by listening to it and realizing what to do and what to avoid.

Awesome!

I thought this was thought through very well (what a combination of words) and well-explained. Okay, whatever, I am not good at grammar, but this book helped me gett better at data.

Learn a lot

I think this is an excellent guide for those interested in data and nerdy machine learning and stuff like that. Enjoyed it.

Machine learning for the beginners out there

I think this is especially useful for beginners who are learning to do machine learning or big data analytics, etc.