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Machine Learning: Introduction to Machine Learning

by Pooja Umathe | Computer Programming

5 Lessons 51:40
  1. 1. Introduction to Machine Learning What is Machine Learning and Why It is Important 6:33
  2. 2. Machine Learning in Data Science Data Science Life Cycle, Connection Between AI, ML, Data Science and Deep Learning and ML Workflow 16:59
  3. 3. Types of Machine Learning Supervised, Unsupervised and Reinforcement 8:42
  4. 4. Techniques of Machine Learning Regression, Classification and Clustering 8:42
  5. 5. Machine Learning Use Cases 10:44



NGSS Standards

About the course

In this course, students will learn what is machine learning, why it is important, the data science life cycle, the difference between artificial intelligence and machine learning and deep learning, types of machine learning, classification and regression, machine learning workflow, and its use cases.

Machine learning is one of the liveliest areas of artificial intelligence. Machine learning algorithms allow computers to learn new things without being programmed. They use statistics to better understand the massive amounts of data that we create every day. These newer algorithms help machines classify images, sounds, and videos. They can answer our questions, discover new drugs, and even write songs.


  • AI
  • Artificial Intelligenge
  • Data Science
  • Machine Learning
  • Science


Hello there! I am Pooja Umathe and I am a data scientist. I build machine learning models and manage data science life cycle to predict future. Currently, I am working at Candlelit Therapy as a data scientist. I helped several organization optimize their business processes and improve productivity and delivery using machine learning and artificial intelligence. I hold a master's degree in Data Science from Saint Peter's University in 2020. I did under-graduation in electronics and computers engineering. Currently I live in New Jersey, USA and I have been tutoring for 4 years around the world. I find tutoring incredibly beautiful job to teach others because the powerful thing about learning is that no one can take it away from you.

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