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] A person with red hair is looking at the screen of their smartphone at product recommendations that have been suggested using machine learning algorithms.

How Does Machine Learning Work?

What is machine learning? Machine learning is a crucial component of advancing technology and artificial intelligence. Learn about how machine learning works and the various types of machine learning models.

April 11, 2024

Article

[Featured Image] Two colleagues look at a tablet and discuss Python memory management.

What Is Python Memory Management?

Learn about Python memory management, including what it is, why it’s important, and the various processes involved in Python memory management.

April 11, 2024

Article

[Featured Image] A person sits a laptop, taking an online course in which they learn the difference between overfitting vs. underfitting.

Overfitting vs. Underfitting: What’s the Difference?

Are you interested in working with machine learning (ML) models one day? Discover the distinct implications of overfitting and underfitting in ML models.

April 11, 2024

Article

[Featured Image] A person with red hair is looking at the screen of their smartphone at product recommendations that have been suggested using machine learning algorithms.

How Does Machine Learning Work?

What is machine learning? Machine learning is a crucial component of advancing technology and artificial intelligence. Learn about how machine learning works and the various types of machine learning models.

April 11, 2024

Article

[Featured Image] Two colleagues look at a tablet and discuss Python memory management.

What Is Python Memory Management?

Learn about Python memory management, including what it is, why it’s important, and the various processes involved in Python memory management.

April 11, 2024

Article

AI and machine learning courses

Status: Free Trial

Google

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Information Systems Security Assessment Framework (ISSAF), Operational Efficiency, Business Process Automation, Data Security, Critical Thinking, Analysis, Innovation

4.8
Rating, 4.8 out of 5 stars
15K reviews

Beginner · Specialization · 1 - 3 Months

Status: Free Trial

IBM

Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

4.7
Rating, 4.7 out of 5 stars
22K reviews

Beginner · Course · 1 - 4 Weeks

Status: Preview

DeepLearning.AI

Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks

4.8
Rating, 4.8 out of 5 stars
51K reviews

Beginner · Course · 1 - 4 Weeks

[Featured Image] A professor stands in front of a classroom and gives a lecture on how neural networks work.

How Do Neural Networks Work? Your 2025 Guide

Learn how neural networks work and what makes them foundational for deep learning and artificial intelligence.

April 11, 2024

Article

[Featured Image] Two colleagues sit at a computer and discuss using a Hadoop cluster to process a large set of data.

What Is a Hadoop Cluster?

Hadoop, an open-source data analysis tool, uses a unique setup called a Hadoop cluster to store and process data. Learn more about what a Hadoop cluster is, its architecture, and how to build Hadoop clusters to reach your data analysis goals.

April 11, 2024

Article

[Featured Image] A machine learning engineer and data scientist meet in the office to discuss a project.

Machine Learning Engineer vs. Data Scientist: What’s the Difference?

Learn about the differences between machine learning engineers vs. data scientists, from education and skill requirements to job responsibilities.

April 10, 2024

Article

[Featured Image] A data scientist uses graph neural networks to make predictions.

An Introduction to Graph Neural Networks

Graphs are a powerful tool to represent data, but machines often find them difficult to analyze. Explore graph neural networks, a deep-learning method designed to address this problem, and learn about the impact this methodology has across industries.

April 10, 2024

Article

[Featured Image] A group of students sit at laptops during a seminar and discuss differences between machine learning vs. neural networks.

Machine Learning vs. Neural Networks: What’s the Difference?

Learn about the differences between machine learning vs. neural networks, as well as relevant careers in these fields.

April 10, 2024

Article

[Featured Image] An adult student sits at a laptop in a library, taking an online machine learning course and learns about the LSTM neural network.

What Is an LSTM Neural Network?

Learn what an LSTM neural network is, how it works, the benefits and limitations compared to other kinds of neural networks, common uses, and specific industry applications.

April 10, 2024

Article

[Featured Image] A data science employee sits at a laptop at a table and explores the various Python libraries that they can use for their job.

What Are Python Libraries for Data Science?

Learn about what Python libraries for data science are, which are popular, their uses, what types of professionals leverage them, their pros and cons, and how you can begin using them.

April 10, 2024

Article

[Featured Image] A professional person looks at a tablet in their office and enjoys using Python automation to speed up some of their daily tasks.

What Is Python Automation? (With Examples)

Learn about Python automation and explore real-world Python automation examples that show how you can use it to increase productivity and workflow.

April 10, 2024

Article

[Featured Image] Two finance professionals sit at a laptop and view financial predictions made by the layers of neural network architecture.

4 Types of Neural Network Architecture

Explore four types of neural network architecture: feedforward neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks.

April 10, 2024

Article

[Featured Image] A person sits a laptop, taking an online course in which they learn the difference between overfitting vs. underfitting.

Overfitting vs. Underfitting: What’s the Difference?

Are you interested in working with machine learning (ML) models one day? Discover the distinct implications of overfitting and underfitting in ML models.

April 11, 2024

Article

[Featured Image] A professor stands in front of a classroom and gives a lecture on how neural networks work.

How Do Neural Networks Work? Your 2025 Guide

Learn how neural networks work and what makes them foundational for deep learning and artificial intelligence.

April 11, 2024

Article

[Featured Image] Two colleagues sit at a computer and discuss using a Hadoop cluster to process a large set of data.

What Is a Hadoop Cluster?

Hadoop, an open-source data analysis tool, uses a unique setup called a Hadoop cluster to store and process data. Learn more about what a Hadoop cluster is, its architecture, and how to build Hadoop clusters to reach your data analysis goals.

April 11, 2024

Article

[Featured Image] A machine learning engineer and data scientist meet in the office to discuss a project.

Machine Learning Engineer vs. Data Scientist: What’s the Difference?

Learn about the differences between machine learning engineers vs. data scientists, from education and skill requirements to job responsibilities.

April 10, 2024

Article

[Featured Image] A data scientist uses graph neural networks to make predictions.

An Introduction to Graph Neural Networks

Graphs are a powerful tool to represent data, but machines often find them difficult to analyze. Explore graph neural networks, a deep-learning method designed to address this problem, and learn about the impact this methodology has across industries.

April 10, 2024

Article

[Featured Image] A group of students sit at laptops during a seminar and discuss differences between machine learning vs. neural networks.

Machine Learning vs. Neural Networks: What’s the Difference?

Learn about the differences between machine learning vs. neural networks, as well as relevant careers in these fields.

April 10, 2024

Article

[Featured Image] An adult student sits at a laptop in a library, taking an online machine learning course and learns about the LSTM neural network.

What Is an LSTM Neural Network?

Learn what an LSTM neural network is, how it works, the benefits and limitations compared to other kinds of neural networks, common uses, and specific industry applications.

April 10, 2024

Article

[Featured Image] A data science employee sits at a laptop at a table and explores the various Python libraries that they can use for their job.

What Are Python Libraries for Data Science?

Learn about what Python libraries for data science are, which are popular, their uses, what types of professionals leverage them, their pros and cons, and how you can begin using them.

April 10, 2024

Article

[Featured Image] A professional person looks at a tablet in their office and enjoys using Python automation to speed up some of their daily tasks.

What Is Python Automation? (With Examples)

Learn about Python automation and explore real-world Python automation examples that show how you can use it to increase productivity and workflow.

April 10, 2024

Article

[Featured Image] Two finance professionals sit at a laptop and view financial predictions made by the layers of neural network architecture.

4 Types of Neural Network Architecture

Explore four types of neural network architecture: feedforward neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks.

April 10, 2024

Article

GenAI is poised to be the largest technological revolution since the internet. In today's technologically evolving world, professionals skilled in AI and machine learning are in high demand across many industries. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within AI and machine learning to start your journey in this exciting and rewarding domain.

Ready to start learning? Explore our catalog of artificial intelligence, machine learning, and natural language processing courses for beginners and experienced professionals.

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