Get Free Shipping on orders over $79
Machine Learning for Absolute Beginners - Level 1 - Idan Gabrieli

Machine Learning for Absolute Beginners - Level 1

By: Idan Gabrieli

eText | 21 December 2020 | Edition Number 1

At a Glance

eText


$283.79

or 4 interest-free payments of $70.95 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.



The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.



By the end of this course, you will have a fundamental knowledge of AI and ML.



All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

AI-Powered Search - Trey Grainger

eBOOK

AI : The End of Human Race - Alex Wood

eBOOK

HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri

eBOOK