IBM
IBM Introduction to Machine Learning Specialization
IBM

IBM Introduction to Machine Learning Specialization

Learn machine learning through real use cases. Build the skills for a career in one of the most relevant fields of modern AI through hands-on projects and curriculum from IBM’s experts.

Taught in English

Some content may not be translated

Xintong Li
Joseph Santarcangelo
Mark J Grover

Instructors: Xintong Li

9,326 already enrolled

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.7

(309 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the potential applications of machine learning

  • Gain technical skills like SQL, machine learning modelling, supervised and unsupervised learning, regression, and classification.

  • Identify opportunities to leverage machine learning in your organization or career

  • Communicate findings from your machine learning projects to experts and non-experts

Details to know

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.7

(309 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
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Specialization - 4 course series

Exploratory Data Analysis for Machine Learning

Course 114 hours4.6 (1,629 ratings)

What you'll learn

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Machine Learning
Category: Feature Engineering
Category: Statistical Hypothesis Testing
Category: Exploratory Data Analysis

Supervised Machine Learning: Regression

Course 220 hours4.7 (518 ratings)

What you'll learn

Skills you'll gain

Category: Linear Regression
Category: Machine Learning (ML) Algorithms
Category: Ridge Regression
Category: Supervised Learning
Category: Regression Analysis

Supervised Machine Learning: Classification

Course 324 hours4.8 (311 ratings)

What you'll learn

Skills you'll gain

Category: Ensemble Learning
Category: Machine Learning (ML) Algorithms
Category: Supervised Learning
Category: Classification Algorithms
Category: Decision Tree

Unsupervised Machine Learning

Course 423 hours4.7 (231 ratings)

What you'll learn

Skills you'll gain

Category: Cluster Analysis
Category: Dimensionality Reduction
Category: Unsupervised Learning
Category: Principal Component Analysis (PCA)
Category: K Means Clustering

Instructors

Xintong Li
IBM
2 Courses36,120 learners

Offered by

IBM

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