Introduction to Machine Learning | Day (1/45) | A2Z ML | Mohd Saqib

Once upon a time, a curious computer science student stumbled upon the topic of Machine Learning. Being fascinated by the idea of making a computer “learn” on its own, he decided to try it out for himself and picked up a book on the subject. As he read through the chapters, he couldn’t help but laugh at the silly examples used to illustrate the concepts, such as teaching a computer to recognize pictures of cats and dogs. “What good is that going to do?” he thought to himself. But as he delved deeper into the subject, he began to understand the real-world applications and potential of Machine Learning. He realized that ML is not just about recognizing cats and dogs, but also about solving complex problems and making predictions in fields such as finance, healthcare, and even self-driving cars. From that day on, the student couldn’t help but chuckle at the thought of his initial skepticism and was determined to master the art of Machine Learning.

In this you will know about:

• Definition of Machine Learning
• Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
• Applications of Machine Learning
• Key concepts and terminology