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] Junior AI engineer taking an online course to explore what is fine tuning, on a tablet.

What Is Fine-Tuning?

Fine-tuning is a deep learning technique that takes pre-trained models and turns them into specialized artificial intelligence (AI) models faster than training a new model. Explore the methods involved in fine-tuning.

March 18, 2025

Article

[Featured Image] Two engineers use few-shot learning to train a robotic device.

What Is Few-Shot Learning?

Explore what few-shot learning is, how it’s used across professional fields, and what to consider when deciding if this approach is right for your application.

March 18, 2025

Article

[Featured image] A team of machine learning engineers in an office discussing what is bias in machine learning.

What Is Bias in Machine Learning?

Bias in machine learning occurs when AI models perpetrate human errors. Uncover the critical aspects of bias in machine learning, its types, impacts, and how to address it for better model fairness and accuracy.

March 18, 2025

Article

[Featured image] Junior AI engineer taking an online course to explore what is fine tuning, on a tablet.

What Is Fine-Tuning?

Fine-tuning is a deep learning technique that takes pre-trained models and turns them into specialized artificial intelligence (AI) models faster than training a new model. Explore the methods involved in fine-tuning.

March 18, 2025

Article

[Featured Image] Two engineers use few-shot learning to train a robotic device.

What Is Few-Shot Learning?

Explore what few-shot learning is, how it’s used across professional fields, and what to consider when deciding if this approach is right for your application.

March 18, 2025

Article

AI and machine learning courses

University of Pennsylvania

Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Computer Science, Computer Programming

4.6
Rating, 4.6 out of 5 stars
16 reviews

Intermediate · Course · 1 - 4 Weeks

IBM

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

4.7
Rating, 4.7 out of 5 stars
19K reviews

Beginner · Course · 1 - 4 Weeks

Google

Skills you'll gain: Prompt Engineering, Generative AI, Productivity Software, Artificial Intelligence, Computer Security Awareness Training, Operational Efficiency, Innovation, Human Machine Interfaces, Information Privacy, Machine Learning, Content Creation, Business Ethics

4.7
Rating, 4.7 out of 5 stars
11K reviews

Beginner · Course · 1 - 3 Months

[Feature Image] An aspiring data scientist searches “What is batch normalization” on their laptop as they plan their coursework for their degree.

What Is Batch Normalization?

Begin your understanding of batch normalization, a technique revolutionizing neural network training, by learning what batch normalization is and why it’s important in deep learning.

March 18, 2025

Article

[Featured Image] A professional creating an infographic on a laptop to share with her team in their next meeting.

What Is an Infographic?

Let's look at what infographics are, including the different types and what makes them effective communication tools.

March 18, 2025

Article

[Featured Image] A computer engineer is programming the appropriate batch size on a computer.

What Does Batch Size Mean in Deep Learning? An In-Depth Guide

Learn about the hyperparameter batch size and how it affects the speed at which you train a deep learning model such as a neural network.

March 18, 2025

Article

[Featured Image] Two data engineers are using neural networks to recognize patterns and process data.

What Are Neural Networks?

Learn more about artificial neural networks, including different types, real-world applications, and careers that may use them.

March 18, 2025

Article

[Featured Image] Two aspiring data scientists search “what are hyperparameters” as they complete an assignment collaborating on a machine-learning project.

What Are Hyperparameters?

Explore the role hyperparameters play in designing effective machine learning models.

March 18, 2025

Article

[Featured Image] A development 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] 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 team of machine learning engineers in an office discussing what is bias in machine learning.

What Is Bias in Machine Learning?

Bias in machine learning occurs when AI models perpetrate human errors. Uncover the critical aspects of bias in machine learning, its types, impacts, and how to address it for better model fairness and accuracy.

March 18, 2025

Article

[Feature Image] An aspiring data scientist searches “What is batch normalization” on their laptop as they plan their coursework for their degree.

What Is Batch Normalization?

Begin your understanding of batch normalization, a technique revolutionizing neural network training, by learning what batch normalization is and why it’s important in deep learning.

March 18, 2025

Article

[Featured Image] A professional creating an infographic on a laptop to share with her team in their next meeting.

What Is an Infographic?

Let's look at what infographics are, including the different types and what makes them effective communication tools.

March 18, 2025

Article

[Featured Image] A computer engineer is programming the appropriate batch size on a computer.

What Does Batch Size Mean in Deep Learning? An In-Depth Guide

Learn about the hyperparameter batch size and how it affects the speed at which you train a deep learning model such as a neural network.

March 18, 2025

Article

[Featured Image] Two data engineers are using neural networks to recognize patterns and process data.

What Are Neural Networks?

Learn more about artificial neural networks, including different types, real-world applications, and careers that may use them.

March 18, 2025

Article

[Featured Image] Two aspiring data scientists search “what are hyperparameters” as they complete an assignment collaborating on a machine-learning project.

What Are Hyperparameters?

Explore the role hyperparameters play in designing effective machine learning models.

March 18, 2025

Article

[Featured Image] A development 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] 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

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)

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