Skip to content
Save 5% on your next order with code PREMIUM5!
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques - Hardcover

$50.38 USD
$50.38 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fast delivery available on most orders

Multiple secure payment options accepted

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
View Product Details

Product Description

by Bob Mather (Author)

Are you excited about Artificial Intelligence and want to get started?Are you excited about Machine Learning and want to learn how to implement in Python?


The book below is the answer.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc. analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine Learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this book. We are using Python, which is a great programming language for beginners.

Python is a great language that is commonly used with Machine Learning. Python is used extensively in Mathematics, Gaming and Graphic Design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.

Here's What's Included In This Book:

  • What is Machine Learning?
  • Why use Python?
  • Regression Analysis using Python with an example
  • Clustering Analysis using Python with an example
  • Implementing an Artificial Neural Network
  • Backpropagation
  • 90 Day Plan to Learn and Implement Machine Learning
  • Conclusion
Number of Pages: 126
Dimensions: 0.38 x 8.27 x 5.83 IN
Publication Date: July 15, 2019