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Data Science from Scratch

Ultimate Guide to Master Data Mining and Data-Analytic from Linear Algebra and Statistics to Practical Examples of Neural Netwrk ad Machine Learning in Python

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Data Science from Scratch

By: Ramon Base
Narrated by: Chris Lynch
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About this listen

Do you want to know all about data science? Do you really want to understand why it is the future in all the most demanding job?

Over the last few years, data science has changed the concept of technology. It is adding value to every model of business by using deep learning and statistics. Technological benefits of data science cannot also be ignored.

The demand for data science is increasing rapidly. The basic reason behind this is the massive boom in the data generated and retained by the companies. Also known as “big data”, data scientists make the best use of this available information and figure out their best use.

The team of data scientists also help in generating a good amount of analytics from the information available. This information brings clarity to people on how to interact with the web and are the foundations on which most of the critical business strategies rest. The demand for the data scientists is gradually increasing and so there must be proper learning resources for them to cultivate their knowledge.

A data scientist has the following tasks to do:

  • Analyse data
  • Modelling/statistics
  • Engineering/prototyping

A lot of data is available in every organization. All of them are not that easy to format. A data scientist’s job mainly revolves around formatting these data, keeping in mind some set of rules.

The goal of this book is simple: provide a perfect insight into data science from scratch. It clearly explains the difference between data science and big data, explaining the concept of big data very concisely and clearly. Operations on data are also very clearly explained in this audiobook. The book is also an ultimate guide to master data mining and data-analytic.

©2019 Ramon Base (P)2019 Ramon Base
Engineering Machine Learning Data Science Artificial Intelligence Business
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Read by an awfully bad algorithm

don't get this its narrated by an atrociously awful bit of text to speech software that destroys context and thus meaning. This utterly invalidates the content. Its of no practical value to anyone trying to understand data science. I've worked with the industry for a long while and if you have no idea on the subject then this will do great harm. Any reviews above two stars are likely fake.

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