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Machine Learning with Python: from Linear Models to Deep Learning

About

Dive into the fascinating world of machine learning with MITx’s comprehensive course, “Machine Learning with Python: From Linear Models to Deep Learning.” This course is designed for those eager to explore the depths of machine learning, from its fundamentals in linear models to the complexities of deep learning and reinforcement learning. Through engaging hands-on Python projects, learners will master the art of turning data into powerful predictive models. This course is a pivotal part of the MITx MicroMasters program in Statistics and Data Science, aiming to equip participants with the skills necessary to excel in data science and beyond.

WHO

The course boasts an impressive roster of instructors from the Massachusetts Institute of Technology:

  • Regina Barzilay, Delta Electronics Professor in the Department of Electrical Engineering and Computer Science.
  • Tommi Jaakkola, Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society.
  • Karene Chu, Digital Learning Scientist and Research Scientist.

WHAT

Learners will cover a broad spectrum of machine learning aspects, including but not limited to:

  • Fundamental principles behind machine learning problems like classification, regression, clustering, and reinforcement learning.
  • Implementation and analysis of models such as linear models, kernel machines, neural networks, and graphical models.
  • Model selection for various applications.
  • Organization and implementation of machine learning projects, encompassing training, validation, parameter tuning, and feature engineering.

SKILLS

Participants will develop a rich set of skills, including:

  • Mastery in machine learning and deep learning algorithms.
  • Proficiency in Python programming for data science applications.
  • Capability in experimenting with and applying machine learning models to real-world problems.
  • Insight into model selection, feature engineering, and project management in the machine learning context.

LEVEL

Advanced – Prior knowledge in Python programming, probability theory, and college-level calculus, along with an understanding of vectors and matrices, is required.

Enroll Now

Join this exciting journey into the world of machine learning with MITx. The AI course starts on May 27 and concludes on September 3. Enrollment is open to anyone looking to deepen their understanding of machine learning and its applications, except for learners residing in Iran, Cuba, and the Crimea region of Ukraine due to U.S. sanctions. Don’t miss this opportunity to elevate your skills and potentially pave the way for a career in data science.

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