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Big Data: 4 Manuscripts Audiobook by Anthony Williams
Please open https://hotaudiobook.com ONLY on your standard browser Safari, Chrome, Microsoft or Firefox to download full audiobooks of your choice for free.
Title: Big Data: 4 Manuscripts
Subtitle: Data Analytics for Beginners, Deep Learning with Keras, Analyzing Data with Power BI, Convolutional Neural Networks in Python
Author: Anthony Williams
Narrator: William Bahl
Format: Unabridged
Length: 8 hrs and 37 mins
Language: English
Release date: 10-17-17
Publisher: Anthony Williams
Ratings: 4.5 of 5 out of 22 votes
Genres: Science & Technology, Technology
Publisher's Summary:
Big Data - four-book bundle!
Book 1: Data Analytics for Beginners
In this book you will learn:
Book 2: Deep Learning with Keras
In this book you will learn:
Book 3: Analyzing Data with Power BI
In this book you will learn:
Book 4: Convolutional Neural Networks in Python
In this book you will learn:
Members Reviews:
Recorded in a public bathroom?
This book has the worst audio Ive ever heard on audible, and the narrators voice is so annoying I couldnt listen to more than a few minutes in any setting.
Highly Informative Book
his book is rich with information. The knowledge within can serve me personally and professionally. I am already making changes.
Enjoyed the narrator. The narrator understood the challenge of the information and delivered it well.
Valuable information very well organized
Not only what it is but also how to correctly implement big data as an insight and transformation tool in the business.
A nice bundle
A nice But effective guide for me on data analytics. There have exhaustive guide line i found through this book. Anthony Williams shared a great experience via this book. Recommended to all business person to read this book. Hope it will help all.
Excellent book to learn...
This is an informative book on data analytics! This is a concise introduction and instructions about all stages of data analysis. Each topic can be expanded into a much deeper communication but the suggestions mentioned are very practical. The directions are easy to follow, and for me this is one of the best books on this subject.
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By DOWNLOAD FULL AUDIOBOOKS FOR FREE ON HOTAUDIOBOOK.COMPlease open https://hotaudiobook.com ONLY on your standard browser Safari, Chrome, Microsoft or Firefox to download full audiobooks of your choice for free.
Title: Big Data: 4 Manuscripts
Subtitle: Data Analytics for Beginners, Deep Learning with Keras, Analyzing Data with Power BI, Convolutional Neural Networks in Python
Author: Anthony Williams
Narrator: William Bahl
Format: Unabridged
Length: 8 hrs and 37 mins
Language: English
Release date: 10-17-17
Publisher: Anthony Williams
Ratings: 4.5 of 5 out of 22 votes
Genres: Science & Technology, Technology
Publisher's Summary:
Big Data - four-book bundle!
Book 1: Data Analytics for Beginners
In this book you will learn:
Book 2: Deep Learning with Keras
In this book you will learn:
Book 3: Analyzing Data with Power BI
In this book you will learn:
Book 4: Convolutional Neural Networks in Python
In this book you will learn:
Members Reviews:
Recorded in a public bathroom?
This book has the worst audio Ive ever heard on audible, and the narrators voice is so annoying I couldnt listen to more than a few minutes in any setting.
Highly Informative Book
his book is rich with information. The knowledge within can serve me personally and professionally. I am already making changes.
Enjoyed the narrator. The narrator understood the challenge of the information and delivered it well.
Valuable information very well organized
Not only what it is but also how to correctly implement big data as an insight and transformation tool in the business.
A nice bundle
A nice But effective guide for me on data analytics. There have exhaustive guide line i found through this book. Anthony Williams shared a great experience via this book. Recommended to all business person to read this book. Hope it will help all.
Excellent book to learn...
This is an informative book on data analytics! This is a concise introduction and instructions about all stages of data analysis. Each topic can be expanded into a much deeper communication but the suggestions mentioned are very practical. The directions are easy to follow, and for me this is one of the best books on this subject.