Machine Learning: Random Forest with Python from Scratch - Past, Present, and Future of Machine Learning

The video discusses the evolution and boom of machine learning, highlighting the need for powerful machines and abundant data. It explores future applications like self-driving cars and gaming, and examines trends in AI publications and investments. The video concludes with an overview of the course structure.

Why did machine learning not evolve significantly until around 2015?

What are the two main requirements for implementing machine learning algorithms practically?

How does the computational power of quantum computers compare to that of supercomputers?

What role does data play in the performance of machine learning algorithms?

In what ways are self-driving cars an example of machine learning applications?

Discuss the significance of investments in AI startups since 2012.

What trends have been observed in AI job availability since 2013?