About this video

Machine learning is the key to development in many areas, such as IT, security, marketing, automation, and even medicine. Without machine learning, it is impossible to build intelligent applications and devices, such as Alexa, Siri, and Google Assistant. This course will help to get familiar with data science and machine learning.

The course starts with an introduction to data science, explaining different terms associated with it. You will also become familiar with machine learning and data science modeling and explore the key differences between model parameters and hyperparameters. Next, you will become familiar with the concepts of machine learning models, such as linear regression, decision trees, random forests, neural networks, and clustering techniques. Towards the end, you will learn how to evaluate machine learning models and learn the best practices to succeed in your data scientist role.

By the end of this course, you will have a solid understanding of data science and machine learning fundamentals.

Publication date:
January 2021
1 hour 48 minutes

About the Author

  • AI Sciences OÜ

    AI Sciences are a group of experts, Ph.D. holders, and practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of them work in big companies, such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have decided to produce a series of courses, mainly dedicated to beginners and newcomers, on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques easily and to be able to start without too much theory and reading. Their courses have had phenomenal success and have helped more than 50,000 students to master AI and data science.

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