IBM
IBM Machine Learning Professional Certificate
IBM

IBM Machine Learning Professional Certificate

Prepare for a career in machine learning. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months.

Kopal Garg
Xintong Li
Artem Arutyunov

Instructors: Kopal Garg

Sponsored by Louisiana Workforce Commission

72,142 already enrolled

Earn a career credential that demonstrates your expertise
4.6

(1,986 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.6

(1,986 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master the most up-to-date practical skills and knowledge machine learning experts use in their daily roles

  • Learn how to compare and contrast different machine learning algorithms by creating recommender systems in Python

  • Develop working knowledge of KNN, PCA, and non-negative matrix collaborative filtering

  • Predict course ratings by training a neural network and constructing regression and classification models

Details to know

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Taught in English

See how employees at top companies are mastering in-demand skills

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Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
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Professional Certificate - 6 course series

Exploratory Data Analysis for Machine Learning

Course 114 hours4.6 (2,039 ratings)

What you'll learn

Skills you'll gain

Category: Data Analysis
Category: Machine Learning
Category: Probability & Statistics
Category: General Statistics
Category: Databases

Supervised Machine Learning: Regression

Course 220 hours4.7 (651 ratings)

What you'll learn

Skills you'll gain

Category: Machine Learning
Category: Probability & Statistics
Category: Regression
Category: Machine Learning Algorithms
Category: Data Analysis
Category: Human Learning
Category: Algorithms
Category: General Statistics

Supervised Machine Learning: Classification

Course 324 hours4.8 (371 ratings)

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Human Learning
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Applied Machine Learning
Category: Probability & Statistics
Category: Python Programming
Category: General Statistics

Unsupervised Machine Learning

Course 423 hours4.7 (275 ratings)

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Applied Machine Learning
Category: Human Learning

Deep Learning and Reinforcement Learning

Course 531 hours4.6 (223 ratings)

What you'll learn

Skills you'll gain

Category: Artificial Neural Networks
Category: Deep Learning
Category: Human Learning
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Applied Machine Learning
Category: Algorithms
Category: Network Model

Machine Learning Capstone

Course 620 hours4.6 (103 ratings)

What you'll learn

  • Compare and contrast different machine learning algorithms by creating recommender systems in Python

  • Predict course ratings by training a neural network and constructing regression and classification models 

  • Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering

  • Develop a final presentation and evaluate your peers’ projects

Skills you'll gain

Category: Data Analysis
Category: Machine Learning

Instructors

Kopal Garg
IBM
1 Course33,545 learners
Xintong Li
IBM
2 Courses45,314 learners
Artem Arutyunov
IBM
1 Course14,732 learners

Offered by

IBM

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¹Career improvement (i.e. promotion, raise) based on Coursera learner outcome survey responses, United States, 2021.