Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

Fundamentals OF MACHINE LEARNING with python
Paperback

Fundamentals OF MACHINE LEARNING with python

$244.99
Sign in or become a Readings Member to add this title to your wishlist.

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. IBM has a rich history with machine learning. Python, when used in machine learning, offers developers of all skill sets exceptional versatility and power. Developers can use Python to develop a variety of applications because it integrates well with other software while its simple syntax makes it a good choice for coding algorithms and collaborating across teams.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
22 January 2024
Pages
144
ISBN
9786207456505

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. IBM has a rich history with machine learning. Python, when used in machine learning, offers developers of all skill sets exceptional versatility and power. Developers can use Python to develop a variety of applications because it integrates well with other software while its simple syntax makes it a good choice for coding algorithms and collaborating across teams.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
22 January 2024
Pages
144
ISBN
9786207456505