AI and Machine Learning

AI and machine learning are driving innovation across industries. Learn more about generative AI, large language models, and more with these resources.

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[Featured Image] An IT team uses their newly learned technical and design VR skills to test updated hardware and software.

10 Essential VR Skills

To start a career as a virtual reality (VR) developer, you will need to learn technical skills like VR hardware and software as well as design principles like user experience design. Explore 10 VR skills you’ll need to be successful in the field.

March 18, 2025

Article

[Feature Image] An aspiring big data analyst discusses the best ways to measure veracity in big data with their mentor.

What Is Veracity in Big Data?

Learn why veracity is one of the five Vs of big data, what it is, and how it affects modern industries.

March 18, 2025

Article

[Featured Image] A person sits in his home office using his phone and laptop to analyze stock market trends using VAE technology.

VAE vs. GAN: What’s the Difference?

Both variational autoencoders and generative adversarial networks can generate novel data and multimedia. However, each technology takes a different approach. Explore VAEs and GANs, including how they work and what you can do with them.

March 18, 2025

Article

[Featured Image] An IT team uses their newly learned technical and design VR skills to test updated hardware and software.

10 Essential VR Skills

To start a career as a virtual reality (VR) developer, you will need to learn technical skills like VR hardware and software as well as design principles like user experience design. Explore 10 VR skills you’ll need to be successful in the field.

March 18, 2025

Article

[Feature Image] An aspiring big data analyst discusses the best ways to measure veracity in big data with their mentor.

What Is Veracity in Big Data?

Learn why veracity is one of the five Vs of big data, what it is, and how it affects modern industries.

March 18, 2025

Article

AI and machine learning courses

University of Pennsylvania

Skills you'll gain: Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Computational Thinking, Programming Principles, Computer Science

4.6
Rating, 4.6 out of 5 stars
15 reviews

Intermediate · Course · 1 - 4 Weeks

IBM

Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

4.7
Rating, 4.7 out of 5 stars
18K reviews

Beginner · Course · 1 - 4 Weeks

Google

Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving

4.7
Rating, 4.7 out of 5 stars
11K reviews

Beginner · Course · 1 - 3 Months

[Featured Image] A data scientist dressed in casual clothing sits in his home office and studies statistical learning vs. machine learning on his computer.

Statistical Learning vs. Machine Learning: What’s the Difference?

Explore different ways to analyze your data by learning more about statistical learning versus machine learning, when to use each, and what to consider when choosing your model.

March 18, 2025

Article

[Featured Image] A business person using a facial recognition device integrated with AI in a professional workspace.

How to Write a Computer Vision Resume (Step by Step With Examples)

Learn how to write a computer vision resume in a concise and visually pleasing way to get the attention of hiring managers and potential employers.

March 18, 2025

Article

[Feature Image] A learner meets with their teaching assistant to review discriminative vs. generative models and gain a deeper understanding of the differences.

Discriminative vs. Generative Models: What’s the Difference?

You can use discriminative models to classify data into categories and generative models to generate new images, text, or other data. Explore the differences between discriminative and generative models.

March 18, 2025

Article

[Featured Image] Two AI professionals are collaborating in an office and discussing generative AI job responsibilities.

Generative AI Job Description

Explore what generative AI is, learn more about potential generative AI careers and job descriptions, and discover the growth opportunities within the industry.

March 18, 2025

Article

[Featured Image] Two data scientists look at a computer screen in their office and discuss Spark versus MapReduce.

Spark vs. MapReduce: What’s the Difference?

Learn about two Apache Software Foundation big data architectures, Spark and MapReduce, by exploring how they differ, their use cases, and when you need one or both for your data processing needs.

March 18, 2025

Article

[Feature Image] An aspiring computer vision professional researches semantic segmentation versus instance segmentation on a laptop to learn more about the two algorithms’ uses.

Semantic Segmentation vs. Instance Segmentation: What’s the Difference?

Explore two fundamental computer vision algorithms: semantic segmentation and instance segmentation. Learn how each operates and how to pick the proper option for your task.

March 18, 2025

Article

[Featured Image] Three machine learning professionals look at a computer screen in an office setting and discuss scaling laws for neural language models.

Understanding Scaling Laws for Neural Language Models

Scaling laws for neural language models explain how performance improves with increased model size, data, and computational resources. Explore neural language scaling laws, their users, and their importance when developing and deploying AI technology.

March 18, 2025

Article

[Featured Image] A machine learning engineer uses quantization to increase efficiency in their models.

What Is Quantization? Optimizing Data Compression

Explore quantization and why it’s used to optimize large machine learning models. Learn about how this technique might affect the speed, efficiency, accuracy, and resource requirements of your model.

March 18, 2025

Article

[Featured Image]: A person uses tools from a Python NLP library as they work on a language processing project.

Navigating a Python NLP Library: What You Need to Know

Explore the benefits of a Python NLP library and learn how to leverage these tools for your language processing projects.

March 18, 2025

Article

[Featured Image] A person sits in his home office using his phone and laptop to analyze stock market trends using VAE technology.

VAE vs. GAN: What’s the Difference?

Both variational autoencoders and generative adversarial networks can generate novel data and multimedia. However, each technology takes a different approach. Explore VAEs and GANs, including how they work and what you can do with them.

March 18, 2025

Article

[Featured Image] A data scientist dressed in casual clothing sits in his home office and studies statistical learning vs. machine learning on his computer.

Statistical Learning vs. Machine Learning: What’s the Difference?

Explore different ways to analyze your data by learning more about statistical learning versus machine learning, when to use each, and what to consider when choosing your model.

March 18, 2025

Article

[Featured Image] A business person using a facial recognition device integrated with AI in a professional workspace.

How to Write a Computer Vision Resume (Step by Step With Examples)

Learn how to write a computer vision resume in a concise and visually pleasing way to get the attention of hiring managers and potential employers.

March 18, 2025

Article

[Feature Image] A learner meets with their teaching assistant to review discriminative vs. generative models and gain a deeper understanding of the differences.

Discriminative vs. Generative Models: What’s the Difference?

You can use discriminative models to classify data into categories and generative models to generate new images, text, or other data. Explore the differences between discriminative and generative models.

March 18, 2025

Article

[Featured Image] Two AI professionals are collaborating in an office and discussing generative AI job responsibilities.

Generative AI Job Description

Explore what generative AI is, learn more about potential generative AI careers and job descriptions, and discover the growth opportunities within the industry.

March 18, 2025

Article

[Featured Image] Two data scientists look at a computer screen in their office and discuss Spark versus MapReduce.

Spark vs. MapReduce: What’s the Difference?

Learn about two Apache Software Foundation big data architectures, Spark and MapReduce, by exploring how they differ, their use cases, and when you need one or both for your data processing needs.

March 18, 2025

Article

[Feature Image] An aspiring computer vision professional researches semantic segmentation versus instance segmentation on a laptop to learn more about the two algorithms’ uses.

Semantic Segmentation vs. Instance Segmentation: What’s the Difference?

Explore two fundamental computer vision algorithms: semantic segmentation and instance segmentation. Learn how each operates and how to pick the proper option for your task.

March 18, 2025

Article

[Featured Image] Three machine learning professionals look at a computer screen in an office setting and discuss scaling laws for neural language models.

Understanding Scaling Laws for Neural Language Models

Scaling laws for neural language models explain how performance improves with increased model size, data, and computational resources. Explore neural language scaling laws, their users, and their importance when developing and deploying AI technology.

March 18, 2025

Article

[Featured Image] A machine learning engineer uses quantization to increase efficiency in their models.

What Is Quantization? Optimizing Data Compression

Explore quantization and why it’s used to optimize large machine learning models. Learn about how this technique might affect the speed, efficiency, accuracy, and resource requirements of your model.

March 18, 2025

Article

[Featured Image]: A person uses tools from a Python NLP library as they work on a language processing project.

Navigating a Python NLP Library: What You Need to Know

Explore the benefits of a Python NLP library and learn how to leverage these tools for your language processing projects.

March 18, 2025

Article

AI and machine learning are changing the way we work, creating new roles and shifting the way businesses innovate. If you're interested in learning about AI and machine learning, we've gathered free articles and resources on those and other data-centric topics, including:

  • Data analytics

  • Data basics

  • Data science

  • Generative AI and ChatGPT

Frequently asked questions (FAQ)