• Data Analytics: 7 Manuscripts

  • Data Analytics Beginners, Deep Learning Keras, Analyzing Data Power BI, Reinforcement Learning, Artificial Intelligence, Text Analytics, Convolutional Neural Networks
  • By: Anthony Williams
  • Narrated by: William Bahl
  • Length: 16 hrs and 20 mins
  • Unabridged Audiobook
  • Release date: 11-15-17
  • Language: English
  • Publisher: Anthony Williams
  • 4.5 out of 5 stars (214 ratings)

Regular price: $24.95

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Publisher's Summary

Data Analytics - 7-book bundle!

Book 1: Data Analytics for Beginners

  • Putting data analytics to work
  • The rise of data analytics
  • Big data defined
  • Cluster analysis
  • And, of course, much more!

Book 2: Deep Learning with Keras

  • Deep neural network
  • Neural network elements
  • Keras models
  • Sequential model
  • And, of course, much more!

Book 3: Analyzing Data with Power BI

  • Basics of data analysis processes
  • Fundamental data analysis algorithms
  • Basic of data and text mining, data visualization, and business intelligence
  • Techniques used for analyzing quantitative data
  • And, of course, much more!

Book 4: Reinforcement Learning with Python

  • Types of fundamental machine learning algorithms in comparison to reinforcement learning
  • Essentials of reinforcement learning process
  • Marko decision processes and basic parameters
  • And much, much more....

Book 5: Artificial Intelligence Python

  • Different artificial intelligence approaches and goals
  • How to define AI system
  • Basic AI techniques
  • And much, much more....

Book 6: Text Analytics with Python

  • Text analytics process
  • How to build a corpus and analyze sentiment
  • Named entity extraction with Groningen meaning bank corpus
  • And much, much more....

Book 7: Convolutional Neural Networks in Python

  • Architecture of convolutional neural networks
  • Solving computer vision tasks using convolutional neural networks
  • Python and computer vision
  • And, of course, much more!
©2017 Anthony Williams (P)2017 Anthony Williams

What members say

Average Customer Ratings

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  • 4.5 out of 5 stars
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Can't get pass narrator's annoying robot speak!

I wanted to enjoy this audio book and was looking forward to understanding the content, unfortuniately they chose to save money by not having a professional narrator. It sounds like it was recorded in a echoy closet and the narrator speaks like he is dictating into a mobile phone in slow robot like speak.

3 of 3 people found this review helpful

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    4 out of 5 stars

Terrible narrator

Sounds like a high school kid trying to sound cool. Sentences are badly broken up. Can’t bear it enough to finish book.

2 of 2 people found this review helpful

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The author has simplified it in many ways.

Great I don’t have to get many books as this book’s 7-in-1! I’m having a hard time with convolutional neural network. Glad to know that the author has simplified it in every way that he can.

2 of 2 people found this review helpful

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nice book

Personally, I find this book is informative when talking about the topic of Data Analytics.
This book contains a lot of helpful information, tips and guides on how to become a master in this filed.Author is exactly a great author on this topic.
What I love the most is the parts “The types of data analytics that are out there in the world & The benefits of using data analytics” very informative and well explained
Nice book.

3 of 4 people found this review helpful

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Awesome books.

Any additional comments?

This book the information is organized in a logical way that’s easy to access, Listen and understand. It is indeed a good read and I highly recommend this book to everyone.

1 of 1 people found this review helpful

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Worthless

The information is completely worthless. It will not help a novice at all.

It sounds like it was recorded in a closet using tin cans.

The narrator was terrible. He repeadetly misread "causal" and instead said "casual" over and over again. People who don't know any better are going to sound like morons if they try to repeat this. Also, the guy kept pronouncing library as "li-berry". Really? Why didn't anybody review this guys narration before they put it out?

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amazing

This book discusses well everything we need to know to get started. They also include here the brief history which is nice.

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Full of buzzwords, terrible reader

My best guess is that they had a so-so white paper summarizing data analytics basic concepts for mid-level managers, and hired an untrained reader to turn it into an audiobook. The reader's tone makes it sound like every sentence he says is the most impressive piece of info you'll ever hear. I humbly disagree.

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unlistenable

The narrator inserts commas where there are surely no commas and randomly emphasizes words in the sentence. e.g. "The MOST, commonly used data, CAN be, difficult TO discern...."


I am unable to accurately rate the content because I couldn't finish the book

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it's straight to the point and informational

Data Analytics: Data Analytics Beginners, Deep Learning Keras, Analyzing Data Power BI, Reinforcement Learning, Artificial Intelligence, Text Analytics, Convolutional Neural Networks by Anthony Williams is an advance book that tackles on the concepts related to data analytics. It’s straight to the point and informational down to the very last page.

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  • Stuart Misell&Elaine Misell
  • 04-13-18

Difficult to follow

Listening to code being narrated is too difficult to follow and learn from. On the positive the topics of the book are well covered, interesting and wide ranging.

2 of 2 people found this review helpful

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  • Asif
  • 03-27-18

highly recommended

Big Data describes the revolution of data as one analogous to the invention of the printing press. This is a bold prediction, but the book is careful to provide numerous examples showing that we are in the midst of such a revolution,

1 of 1 people found this review helpful

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  • Anonymous User
  • 12-02-18

good book missing literature

great audio book, a little hard to follow the programming aspect, could do with accompanying literature to illustrate the program flow etc..

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  • sofia
  • 10-10-18

Excellent book filled with practical examples. So


Excellent book filled with practical examples. Some cases illustrated i the boom are hardcore but are real and as an analyst you stumble upon many of the cases showcased in this book.

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  • peterson
  • 10-10-18

nice book!!

Wonderful read this book. This book is very helpful. It really is important and useful. With the boom of the internet world, having the skills to create your own web page and knowing the coding, will be of much great help. I am really happy purchase this book..

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  • mercy john
  • 10-10-18

excellent book!

The author has presented such a useful book for me, Personally, i was looking for this book for so long. Thanks to my friend who give this book. Really felt good to listen to it.

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  • max well
  • 10-10-18

best book!!

Well written easy to understand guide. Enhanced my understanding significantly. The technical section was particularly well explained.

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  • vani
  • 10-09-18

very comprehensive


This is an Interesting book I have read for Data Analytics course. The examples are real business scenarios. In addition, it is explianed in a simple language so that every learner can easily understand the concept.

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  • shabrish
  • 10-09-18

SUPPORTIVE GUIDE


It is one of very important and handy books for the analytical skills of Big Data. It summarized all popular techniques enriched by supportive information of common algorithms and application examples.

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  • watsun
  • 10-09-18

handy info

If you want a book on Data Analytics and you want to get acquainted with the field really fast, , you won't regret getting this book.

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  • Luke Visser
  • 08-21-18

Unbelievably dry and uninteresting

Got through the first book only just. By the time I got to the second book and had to listen to actual code being read out I couldn't stop laughing at the ridiculous nature of these books.

I never made it past the code reading sections in the second book. Who knows, it might get better but I doubt it.

Don't waste your time.