Data Science

What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't

De: Herbert Jones

Narrado por: Sam Slydell

Did you know that the value of data usage has increased job opportunities but that there are few specialists?

These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype?

This audiobook, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't, presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists. It combines analytical engineering, machine learning, big data, data mining, and statistics in an easy-to-digest method.

Data gathered from scientific measurements, customers, IoT sensors, and so on is very important only when one can draw meaning from it. Data scientists are professionals who help disclose interesting and rewarding challenges of exploring, observing, analyzing, and interpreting data. To do that, they apply special techniques that help them discover the meaning of data. Becoming the best data scientist is more than just mastering analytic tools and techniques. The real deal lies in the way you apply your creative ability like expert data scientists. This audiobook will help you discover that and get you there.

The goal with Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't is to help you expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. At the end of this audiobook, you will learn how to combine machine learning, data mining, analytics, and programming, and extract real knowledge from data. Get access to this audiobook now if you want to learn more about data science!

©2018 Herbert Jones (P)2018 Herbert Jones

Useful One

The information presented is well-organized, and the visual aids include ample graphs and charts. Section breaks are obvious with well-designed titles. Chapters are easy enough to read but don't over-simplify important concepts.

Good One

This book will not make you an expert but at least you will know what the experts are talking about. It is written with just enough math for the non-PhD manager to understand.

A Perfect book

Both authors practicing data science professionals. Their book outlines practical considerations, explains available tools and techniques, and shows results of many well-chosen models.

Good One

I'm trying to learn data science, and this book is written incredibly well. It gives an overview at a level which gets you a decent technical understanding, plus it points very clearly the way to dive deeper in any particular area that you would like to explore.

Fundamental Information

This book is packed with fundamental information about data science. I highly recommend this book to all.

Great Compliment

The institution strategy and goals need to be reflected in the procedures used to analyse the data base of the institution and the determination as to what data is relevant.

Poor narration

Could not determine whether the narrator was a computer or a human who had never heard or spoken many of the words in the book.