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Machine Learning: 3 books in 1: Python Data Science + Data Analysis + Machine Learning. The Complete Crash Course To Learn How It Works,
Contributor(s): Williams, Steven (Author)
ISBN: 1801324093     ISBN-13: 9781801324090
Publisher: Steven Williams
OUR PRICE:   $29.66  
Product Type: Paperback
Published: December 2020
* Not available - Not in print at this time *
Additional Information
BISAC Categories:
- Computers | Natural Language Processing
- Computers | Programming Languages - Python
Physical Information: 1.28" H x 6" W x 9" (1.85 lbs) 636 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

If you are looking for a comprehensive guide that explains in a simple way how to manage machine learning and AI, please keep reading.



This Boxset Includes:

  • Python Data Science
  • Python Data Analysis
  • Python Machine Learning



Data is the future. We live in a world of data deluge where gigabytes of data are generated daily. It is possible that this data might not be very useful for our daily applications. Major setbacks in the use of such data may be due to the presence of loopholes in data links previously generated or the data might be too vast for the limited human mind. Machine learning in this book presents some of the solutions to the problems above. Being an introductory guide, expect to learn the various basics involved in Machine Learning and Python. This book provides an insight into the new world of big data, then behooves you to learn more about Machine Learning.


The goal of this book is to go from this theoretical to practical knowledge and application. In other words, you'll be able to complete your own analysis, implement its methods in your business, and master the Python Programming Language with a Complete Crash Course


Some of the topics that we will discuss inside include:


- The importance of data analysis and why every successful business and industry are using it

- The concepts behind Python programming

- How to use Python libraries such as Pandas and NumPy for data analysis

- How to write codes, and create programs and databases

- Basics of data science and fundamental skills you need to get started

- Why Python and how to use it to implement Data Science

- Interaction with databases and data in the cloud

- What is Machine Learning and how it is applied in real-world situations

- The Entire Process of Creating Neural Network Models on TensorFlow, Using Open Source Data Sets and real Python Code

- Artificial Neural Networks

- And Much Much More


So what are you waiting for?


Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way.


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