A key question that comes up very often is that which problems need to be solved by machine learning. In this track, I explain some key criteria that one may use to decide when to use machine learning.

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When should you use Machine Learning?

One of the types of machine learning is unsupervised machine learning. I demystify unsupervised machine learning in this track with a simple example.

What is Unsupervised Machine Learning?

It is important to know and intuitively understand what makes machine learning different from traditional programming. This track explains that difference.

What makes ML different from traditional programing?

Supervised learning is a type of machine learning. In this track, I demystify this type.

What is Supervised Learning?

Though AI exists in different forms today and achieves many different objectives, it is important to understand what AI can do and how much can it do. This is what I explain in this track and compare AI with what humans can do today.

What is Narrow AI?

Humans communicate with machines to get things done. In this track, I explain two interesting but different ways in which humans achieve this.

How do humans communicate with machines?

Learning can be inductive or deductive and it is important to know the difference. Listen to this track to understand this with an example.

What is Inductive Learning?

youplusai is my handle on the web where I share thoughts and perspectives on AI and ML to drive meaningful engagement with people.

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