Deep Learning: Guide for Machine Learning, Neural Networks, and Data Analytics

Written by David Feldspar

Narrated by Jason R. Gray

This is your lucky day, because now, you're getting 6 books for a discounted price! Books are about big data, text analytics, and deep learning.

Book 1: Big data can tremendously improve a company’s performance. 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.

Book 2: Discover the correct data and solutions for your organization now. 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.

Book 3: Dive deeper into the world of mining for or analyzing text. 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.

Book 4: 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. 

Book 5: 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 you're operating in such a field requires such advanced skills.

Book 6:

• Language: English
• Publisher: David Feldspar
• Release date: Aug 1, 2019
• ISBN: 9781094222806

Reviews for Deep Learning

[Mary · Rating: 5 out of 5 stars]

This audiobook has the right to a big, fat 5-star rating. The storyteller's performance was wonderful, and so was the writer's wording. In my eyes, it was pretty perfect. There may have been a few hardly noticeable errors in there, but they didn't trouble me. When you are able to listen to a narrator who is that good, and about an issue that you're interested in, you do not care about the rest. That's the end of the story.

[Wei Sheng · Rating: 2 out of 5 stars]

It has nothing to do with machine learning. The whole book is about marketing

[Heather Caley · Rating: 5 out of 5 stars]

It appears as if we are dealing with a pro here. The narrator's act was to die for. I guess the first several sections were my favorite ones, because the whole concept that the subtitle refers to, is described. All of the basics are here. Later on in the book, more depth gets added, and I think this is what makes it so great. I actually did not notice something wrong about this book. If I am incorrect, then let me know. But I found it to be nearly perfect, and that's what mattered to me.