Description

What will you learn?

• Machine Learning course provides a broad introduction to machine learning, data mining, and statistical pattern
• Topics include: (i) Supervised learning (ii) Unsupervised learning (iii) Best practices in machine
• You’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new

Pre-Requisite:

• Basic knowledge of statistics, linear algebra is required to understand and implement some of the ML
• Strong programming knowledge in Python is required

Who should attend?

• Any intermediate participant who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine
• Any data analysts who want to level up in Machine
• Any people who want to create added value to their business by using powerful Machine Learning tools