Machine Learning

Machine Learning is a branch of artificial intelligence that automates analytical model building, enabling systems to learn and improve from experience without being explicitly programmed. Coursera's Machine Learning catalogue empowers you to understand, design, and apply powerful algorithms and statistical models to make predictions or decisions without human intervention. You'll learn about various forms of learning, such as supervised, unsupervised, and reinforcement learning, along with techniques such as regression, classification, clustering, and deep learning. Furthermore, you'll gain insights into the ethical and societal considerations of Machine Learning and its applications across various industries like healthcare, finance, and entertainment.
171credentials
1online degree
681courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Find the best Machine Learning course for your goals

  • Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Testability, Software Visualization, Machine Learning

  • Skills you'll gain: Responsible AI, Information Privacy, Data Ethics, Personally Identifiable Information, Google Cloud Platform, Secure Coding, Cloud Security, Safety and Security, Artificial Intelligence, Generative AI, Machine Learning

  • Skills you'll gain: Threat Modeling, Threat Management, Security Strategy, Responsible AI, Data Security, Cloud Security, AI Product Strategy, Information Systems Security, Application Security, Data Ethics, Security Controls, Infrastructure Security, Artificial Intelligence, Security Engineering, Cyber Risk, Generative AI, Machine Learning

  • Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Statistical Machine Learning, Machine Learning, Embedded Systems, Embedded Software, Machine Learning Algorithms, Distributed Computing, Deep Learning, Image Analysis, Software Design, Hardware Design, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a $169,700 median salary ¹.

    description:

    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

    Offered by

    IBM_logo
    DeepLearning.AI_logo
    Stanford University_logo
  • This role has a $146,304 median salary ¹.

    description:

    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

    This role has a $146,304 median salary ¹.

    Offered by

    Microsoft_logo
    IBM_logo
    Johns Hopkins University_logo

Most popular

Trending now

New releases

What brings you to Coursera today?

Leading partners

  • Google Cloud
  • DeepLearning.AI
  • IBM
  • Packt
  • Johns Hopkins University
  • University of Colorado Boulder
  • Duke University
  • EDUCBA