Practical Data Science using Python - History of Machine Learning

The video explores the history and advancements in machine learning and artificial intelligence, highlighting key developments from the 1940s to the present. It discusses the role of GPUs in enhancing computational power, enabling complex AI tasks, and the integration of AI in cloud computing. The video also covers significant milestones like the Turing test, perceptron, and modern AI platforms like Google Brain and DeepMind.

What was a major factor that limited the early success of machine learning?

• Insufficient processing power

• Inadequate algorithms

• High cost of research

• Lack of data

Who proposed the Turing Test, and what was its purpose?

• Alan Turing, to evaluate a machine's ability to exhibit human-like intelligence

• Warren McCulloch, to test neural networks

• Frank Rosenblatt, to create perceptrons

• Arthur Samuel, to develop learning algorithms

What was the primary goal of the perceptron algorithm developed by Frank Rosenblatt?

• To eliminate echo on phone lines

• To pass the Turing Test

• To detect patterns and shapes

• To play chess

Which algorithm was used by IBM's Deep Blue to defeat a world chess champion?

• Reinforcement learning

• Convolutional neural networks

• Perceptron

• Adeline

What significant change did AlexNet introduce in neural network architecture?

• Implementation of reinforcement learning

• Development of the Turing Test

• Use of CPUs

• Introduction of GPUs

How do GPUs differ from CPUs in terms of processing capabilities?

• GPUs are slower but more versatile

• CPUs are better for image processing

• GPUs offer extreme parallelism with more processors per chip

• CPUs have more processors per chip

What is a key advantage of using GPUs for machine learning tasks?

• They are cheaper than CPUs

• They provide sequential processing

• They allow for processing large vectors and matrices

• They are designed for gaming only

Which company was initially the world leader in creating gaming chips that evolved into GPUs?

• Intel

• Amazon

• NVIDIA

• Google

What is a popular cloud-based platform for learning machine learning and AI?

• Microsoft Azure

• IBM Watson

• Google Colab

• Amazon Web Services

What is the main reason smaller companies prefer cloud-based GPU services?

• They provide faster internet speeds

• They have more storage capacity

• They are more affordable than owning GPU servers

• They offer better algorithms