Tutorials

Visit Tool

tutorials is an Open Source tool that provides free AI-related tutorials and code examples. It offers resources for learning AI concepts and techniques, primarily through a GitHub repository.

Claim this tool

1View

At a glance

Pricing

Open Source · Free

Free tier

Yes

API

Skill level

Technical

About

What is tutorials?

tutorials is an open-source GitHub repository by Towards AI, offering a collection of free AI-related tutorials. These resources cover a wide range of topics including machine learning algorithms, deep learning, natural language processing, and statistical concepts, often accompanied by Python code examples. The repository serves as a valuable learning hub for individuals interested in AI, providing practical insights into various techniques like Monte Carlo Simulation, Principal Component Analysis, and Neural Networks. Users can access these tutorials for free, contribute to the repository, or even collaborate with data scientists on editorial content. It also lists books for further learning and acknowledges sponsors supporting the open-source work.

Best used for

Ideal for students and developers who need to learn AI concepts, implement machine learning algorithms, and understand deep learning techniques. Especially valuable for those seeking free, code-backed educational resources in artificial intelligence.

Common actions

learn AI concepts

access tutorials

study machine learning

explore deep learning

understand NLP

low-code/no-codeautomated workflowopen-sourceworkflowsface swappingdeepfakegithub copilotcollaboration"AI Agents"

Capabilities

Key features

Python code examples
Deep learning tutorials
NLP tutorials
Statistical concept explanations
Open-source contribution
Machine learning algorithms

Target Audience

data scientistsmachine learning engineersstudentsai/ml researchers

Integrations

Not yet documented

Pricing & Plans

Open Source · Free

Free

FAQs

What kind of AI topics are covered in the tutorials?

The tutorials cover a broad range of AI topics, including machine learning algorithms (e.g., K-Nearest Neighbors, Decision Trees), deep learning (e.g., Convolutional Neural Networks, Neural Networks from Scratch), natural language processing, and statistical concepts like Bernoulli Distribution and Moment Generating Functions.

Can I contribute to the Towards AI tutorials repository?

Yes, you can contribute to the repository by submitting pull requests. The team reviews contributions ad-hoc. If you're interested in working with a data scientist on an editorial tutorial, you can reach out via email to editor@towardsai.net and pub@towardsai.net.

Are the code examples provided in the tutorials free to use?

The code contained within the GitHub repository is under the MIT license, meaning it is free to use and modify. However, the tutorials, articles, and books listed are property of Towards AI, Inc.

Trending

Subcategories trending in Research & Education

Academic Research Study Assistants Knowledge Management Scientific Computing Summarization Language Learning

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce