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AI: Machine Learning with Python - Hands On!

Learn to create Machine Learning Algorithms in Python and unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

Machine learning and predictive analytics are transforming the way that businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, and is becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data. Its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.

In this course, you will learn:

  • Discover the different types of machine learning and know when to use them
  • Explore machine learning algorithms and implement them in Python
  • Use powerful open source machine learning libraries to train predictive models
  • Use pandas, NumPy, and matplotlib to manipulate data
  • Evaluate and fine-tune machine learning models

This course gives you access to the world of predictive analytics and demonstrates why Python is one of the world’s leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science course is invaluable. It covers a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and features guidance and tips on everything from sentiment analysis to neural networks. With this course,you’ll soon be able to answer some of the most important questions facing you and your organization.

This step-by step guide will walk you through connecting the fundamental theory of machine learning with practical tips for implementation using Python, complete with visualizations and hands-on code examples.


Bill Gates Says These Are the Jobs He Would Drop Out of College for Today

If he were to go into computer sciences today, Gates said, the area that he thought had the most potential was artificial intelligence. Gates brought up a recent victory by Google DeepMind over the top player in the world at Go, a game some predicted a computer could never master. He called it a remarkable achievement that signaled there is more to come in advancement in artificial intelligence. And he said the research being done in the field now is "profound" and on the verge of making new breakthroughs. "The ability for artificial agents to read and understand material is going to be phenomenal," says Gates. "Anything connected with that would be an exciting lifetime career."


This course is not open for enrollment.


Frequently Asked Questions


Why join this course?
Short answer - AI is fun, and it pays very well! Want to start a career in the exciting field of Deep Learning, Machine Learning, and Artificial Intelligence? This course is an excellent start. Yes, AI jobs pay a LOT more than regular programming jobs!
What if I don't know how to program?
No worries. We'll have you up and running in no time. And we'll step you through every single line of code as we go in case you get lost. If you have a familiarity with some high school mathematics, you're not going to have a problem learning this course with our help!
What devices are supported?
You can take the course from any device and any location, as long as you have an internet connection. All lectures are optimized for mobile or desktop viewing.
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

This course is not open for enrollment.