AI and Machine Learning Essentials with Python Specialization

Explore AI and Machine Learning. Go further with your Python skills while exploring the transformative fields of artificial intelligence, machine learning and deep learning.

Instructors: Victor Preciado +3 more

What you'll learn

  •   Understand the philosophical, scientific, and historical foundations of artificial intelligence and machine learning.
  •   Apply Python programming concepts to implement AI algorithms, machine learning models, and deep learning architectures.
  •   Use essential statistics concepts, like probability, linear algebra and statistical learning theory, to develop and analyze machine learning models.
  •   Implement and compare machine learning algorithms, such as linear regression and logistic regression, for both regression and classification tasks.

    • Skills you'll gain

  •   Machine Learning
  •   Artificial Intelligence
  •   Regression Analysis
  •   Sampling (Statistics)
  •   Computer Vision
  •   Probability Distribution
  •   Statistics
  •   Deep Learning
  •   Agentic systems
  •   Artificial Neural Networks
  •   Probability & Statistics
  •   PyTorch (Machine Learning Library)

    • Specialization - 4 course series

    Learners will complete Python coding assignments to solve common AI and Machine Learning tasks, such as uninformed/informed search and linear regression problems. In addition, learners will solve statistics assignments, building skills needed to address nearly every data science problem.

    Statistics for Data Science Essentials

    Machine Learning Essentials

    Deep Learning Essentials

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