University of Pennsylvania
AI and Machine Learning Essentials with Python Specialization

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University of Pennsylvania

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.

Victor Preciado
Hamed Hassani
Pratik Chaudhari

Instructors: Victor Preciado

Get in-depth knowledge of a subject
3.8

(12 reviews)

Intermediate level

Recommended experience

4 months
at 8 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
3.8

(12 reviews)

Intermediate level

Recommended experience

4 months
at 8 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Taught in English

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Specialization - 4 course series

Artificial Intelligence Essentials

Course 118 hours4.3 (12 ratings)

What you'll learn

  • Understand the history and context of artificial intelligence through the lenses of philosophy and science fiction.

  • Explore different kinds of common search algorithms like A* Search, depth first search, breadth first search and more.

Skills you'll gain

Category: Artificial Intelligence
Category: Python (Programming Language)
Category: Search Algorithms

What you'll learn

  • Comprehensively review probability and understand its role as a building block of data science.

  • Apply the central limit theorem, confidence intervals and the method of maximum likelihood to solving data science problems.

Skills you'll gain

Category: Probability And Statistics
Category: Mathematics
Category: Confidence Intervals
Category: Simple Random Sample
Category: Point Estimation

Machine Learning Essentials

Course 317 hours

What you'll learn

  • Review probability basics and understand essential theoretical framework to analyze statistical learning problems.

  • Use linear regression and Python programming to solve machine learning problems.

Skills you'll gain

Category: Logistic Regression
Category: Linear Regression
Category: Machine Learning Methods

Deep Learning Essentials

Course 415 hours

What you'll learn

  • Understand the history and context of the deep learning field, and explore what "intelligence" really means.

  • Explore deep learning models like the perceptron, neural networks and backpropagation, and study the techniques that drive them.

  • Code a project using Python where you will preprocess data and use your data to train a Support Vector Machine (SVM.)

Skills you'll gain

Category: Backpropagation
Category: Perceptron
Category: Python (Programming Language)
Category: Deep Learning

Instructors

Victor Preciado
2 Courses610 learners

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