YoVDO

AI and Machine Learning Essentials with Python

Offered By: University of Pennsylvania via Coursera

Tags

Machine Learning Courses Statistics & Probability Courses Artificial Intelligence Courses Python Courses Linear Regression Courses Probability Courses Classification Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
This specialization will prepare learners to enter the exciting fields of artificial intelligence (AI) and machine learning. Across four courses, learners will familiarize themselves with AI, machine learning and deep learning essentials, while also gaining experience with statistics–the backbone of any machine learning problem. Learners will use Python to write programs that accomplish basic AI and machine learning tasks. By the end of this specialization, learners will be able to confidently use and discuss AI and machine learning tools and concepts, improve their Python skills, and be primed for more advanced study in these fields.

Syllabus

Course 1: Artificial Intelligence Essentials
- Offered by University of Pennsylvania. Take a look at artificial intelligence through philosophical and science fiction lenses, and review ... Enroll for free.

Course 2: Statistics for Data Science Essentials
- Offered by University of Pennsylvania. Review the basics of discrete math and probability before enhancing your probability skills and ... Enroll for free.

Course 3: Machine Learning Essentials
- Offered by University of Pennsylvania. Use statistical learning techniques like linear regression and classification to solve common machine ... Enroll for free.

Course 4: Deep Learning Essentials
- Offered by University of Pennsylvania. Delve into the history of deep learning, and explore neural networks like the perceptron, how they ... Enroll for free.


Courses

  • 0 reviews

    18 hours 17 minutes

    View details
    Take a look at artificial intelligence through philosophical and science fiction lenses, and review Python basics. Then explore AI algorithms through studying rational agents and common search algorithms like A* search. Complete short coding assignments in Python.
  • 0 reviews

    17 hours 59 minutes

    View details
    Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.
  • 0 reviews

    19 hours 21 minutes

    View details
    Review the basics of discrete math and probability before enhancing your probability skills and learning how to interpret data with tools such as the central limit theorem, confidence intervals and more. Complete short weekly mathematical assignments.

Taught by

Chris Callison-Burch and Victor Preciado

Tags

Related Courses

Accounting for Death in War: Separating Fact from Fiction
Royal Holloway, University of London via FutureLearn
Advanced Machine Learning
The Open University via FutureLearn
Advanced Statistics for Data Science
Johns Hopkins University via Coursera
農企業管理學 (Agribusiness Management)
National Taiwan University via Coursera
AI & Machine Learning
Arizona State University via Coursera