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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners

Lu par : Sam Slydell
Durée : 5 h et 18 min
3 out of 5 stars (1 notation)

Prix : 17,91 €

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Description

Do you want to expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues? Exploring this audiobook could be a step in the right direction.

Discover two comprehensive manuscripts in one audiobook:

  • Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't
  • Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners

Part one of this audiobook will cover topics such as:

  • What data science is
  • What it takes to become an expert in data science
  • Best data mining techniques to apply in data
  • Data visualization
  • Logistic regression
  • Data engineering
  • Machine learning
  • Big data analytics
  • And much more!

Part two of this audiobook will discuss the following topics:

  • How big data works and why it is so important
  • How to do an explorative data analysis
  • Working with data mining
  • How to mine text to get the data
  • Some amazing machine learning algorithms to help with data science
  • How to do data modeling
  • Data visualization
  • How to use data science to help your business grow
  • Tips to help you get started with data science
  • And much, much more!

So listen to this audiobook now if you want to learn more about data science!

©2018 Herbert Jones (P)2018 Herbert Jones

Ce que les membres d'Audible en pensent

Notations

Global

  • 3 out of 5 stars
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Interprétation

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Histoire

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  • Global
    1 out of 5 stars
  • Interprétation
    1 out of 5 stars
  • Histoire
    1 out of 5 stars
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  • Amanda
  • 27/02/2019

Skip it

This book is too deep for the complete novice and does not have any depth for the armchair data scientist. Though I did not like the book, I went back to listen and try to think who I thought the correct audience is. I don’t think there is one.

3 sur 4 personne(s) ont trouvé cet avis utile.

  • Global
    1 out of 5 stars
  • Interprétation
    1 out of 5 stars
  • Histoire
    1 out of 5 stars
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  • Alejandro
  • 24/02/2019

There is no negative or zero stars. Bad

this is the worst audio book I have ever acquired from audible. it is a compendium of stock phrases taken from some random Web sites,

1 sur 1 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Gamble
  • 04/11/2019

Excellent starter course

This wasn't exactly what I was thinking it was, but it turned out to be something that I feel I needed. Happy that I bought it anyway.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Navarro
  • 04/11/2019

Recommended reading for newbies

The book is an introduction into machine learning techniques that covers many of the topics like; Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business without going into many detailed explanations.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Watson
  • 04/11/2019

Good entry level book for high level concepts

I will need a second pass on the book, but I think it gave a great introduction to the world of machine learning including; Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Booker
  • 04/11/2019

Learn ML with ease here.

I want to tell everybody; this book is really great for who really wants to jump in the ML field. Lots of real-world outlines; a perfect example is one of the best features of the book.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Archer
  • 04/11/2019

Great introduction at the right time.

New to Data Science but have done programming in previous jobs. I found this book extremely helpful. It gives a great introduction to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business, and Machine Learning for Beginners while urging your curiosity to explore and learn more. Love it.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
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    5 out of 5 stars
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  • Douglas
  • 02/11/2019

The Ultimate Guide to Data Analytics

This is the first Machine Learning book I’ve got. The author knows his stuff but doesn’t mind slowing down and explaining what it all means in a well thought out way.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Reeves
  • 02/11/2019

The right level for me

I want to say that this book is perfect if you exclude the exercises well. In my opinion, It's balanced with audio and provides a high-level overview of concepts, models, etc.

  • Global
    5 out of 5 stars
  • Interprétation
    5 out of 5 stars
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    5 out of 5 stars
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  • Sanders
  • 02/11/2019

A straightforward book.

You will not waste your time with understanding the fundamental mathematics and instead leverages the use of publicly available Python libraries. The math of Machine Learning can easily be intimidating, and I commend the authors from shying away from it.