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A curated list of helpful resources to learn Artificial Intelligence, Generative Artificial Intelligence, Deep Learning and Neural Networks using Python. Tutorials, Code Samples, References and more!
Crash course from Google on machine learning concepts and techniques.
Blogs on AI and deep learning topics from Udacity.
Specialization by Andrew Ng on deep learning topics including neural networks and deep learning algorithms.
Playlist of AI tutorials by Siraj Raval covering a variety of AI topics.
Interactive course on Kaggle for beginners in machine learning.
Official tutorials from TensorFlow for learning AI and machine learning.
Hands-on course on machine learning using Python on Codecademy.
Course on deep learning basics in Python on DataCamp.
Introductory course on artificial intelligence on edX.
Kaggle offers a beginner-friendly course on machine learning, which is a crucial aspect of artificial intelligence.
Andi: Kaggle is a popular platform for data science and machine learning enthusiasts, making it a valuable resource for AI beginners.
edX offers a variety of AI courses ranging from introductory to advanced levels, suitable for beginners.
Andi: edX is a reputable platform for online learning, and their AI courses cater to learners of all levels, making it a great resource for beginners.
This online course offers an introduction to AI concepts, algorithms, and tools, suitable for beginners.
Andi: Cognitive Class offers high-quality courses, and this one is a good starting point for beginners interested in AI.
Coursera's machine learning course by Andrew Ng is highly recommended for beginners to learn the fundamentals of AI.
Andi: Andrew Ng's course is a popular choice for beginners due to its clear explanations and practical exercises, making it an excellent resource for learning AI.
This YouTube lecture by Andrew Ng provides an overview of AI concepts in a beginner-friendly manner.
Andi: Andrew Ng's lectures are highly informative and accessible, making them a valuable resource for beginners interested in AI.
This article provides a step-by-step guide for beginners to learn AI from scratch, covering various concepts and resources.
Andi: This is a great resource for beginners to start learning AI as it breaks down complex concepts into easy-to-understand explanations.
This blog post provides tips and resources for beginners to start coding in machine learning, an essential skill for AI learning.
Andi: Learning to code is crucial for aspiring AI professionals, and this blog post offers a helpful guide for beginners.
DataCamp offers a beginner course on deep learning using Keras, an essential skill for AI developers.
Andi: Deep learning is a key aspect of AI, and DataCamp's course provides a hands-on introduction to this advanced topic for beginners.
This article lists the top free courses available online for beginners to kickstart their AI learning journey.
Andi: Free courses are a great way for beginners to explore AI without financial commitment, and this article provides a curated list of quality resources.
Udacity's introductory course on AI covers topics like search algorithms, logic, and constraint satisfaction problems.
Andi: Udacity is a reputable online learning platform, and this course provides a solid foundation for beginners in AI.
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This comprehensive course covers machine learning algorithms and data science techniques using Python and R.
Access a wealth of resources and courses on Google's AI and machine learning technologies.
Take this specialization by Andrew Ng to dive deeper into deep learning concepts and applications.
Sharpen your deep learning skills with courses by Andrew Ng and his team at deeplearning.ai.
Explore a collection of tutorials on TensorFlow, Google's open-source machine learning library.
Join this free online course to learn about AI concepts and algorithms taught by UC Berkeley faculty.
Kaggle offers a beginner-friendly tutorial on machine learning to help you get started with AI.
Learn advanced natural language processing techniques using the spaCy library.
fast.ai offers practical deep learning courses and resources for developers and enthusiasts.
Discover the top machine learning algorithms and their practical applications in this comprehensive guide.
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A self-study guide for machine learning concepts with interactive exercises.
Andi: Google's ML Crash Course is a great starting point for beginners as well as advanced learners.
A deep learning course with practical lessons and a library for easily implementing state-of-the-art algorithms.
Andi: I highly recommend this course for hands-on experience with deep learning.
Official tutorials and guides for using TensorFlow, an open-source machine learning library.
Andi: TensorFlow is a powerful tool for building and training neural networks, and their tutorials are a must-read for beginners.
A nanodegree program covering deep learning, neural networks, and AI applications.
Andi: Udacity's nanodegree programs are highly respected and provide hands-on experience for mastering advanced AI techniques.
A series of courses by Andrew Ng on deep learning, neural networks, and machine learning.
Andi: Andrew Ng is a pioneer in the field of AI education, and his courses are well-structured and informative.
A blog focused on computer vision, deep learning, and Python programming.
Andi: This blog is a fantastic resource for anyone interested in image processing and machine learning.
A comprehensive resource for machine learning techniques and algorithms.
Andi: This is one of my go-to resources for in-depth explanations and practical examples.
Online courses and certifications on deep learning and AI by Andrew Ng.
Andi: Andrew Ng's courses are top-notch and provide a solid foundation for understanding advanced AI concepts.
A platform for data science and machine learning competitions, tutorials, and datasets.
Andi: Kaggle is an excellent place to sharpen your skills and collaborate with other data enthusiasts.
A series of videos explaining neural networks and deep learning concepts in an intuitive way.
Andi: 3Blue1Brown's videos are a great way to visually understand complex AI concepts, and I highly recommend this playlist.
Resources and tutorials for using AI to solve environmental challenges
Andi: Microsoft's AI for Earth initiative is a great example of using AI for social good. The resources provided here are insightful and inspiring.
Andrew Ng's popular machine learning course, covering a wide range of topics in AI
Andi: Andrew Ng is a pioneer in the field of machine learning and this course is a must for anyone looking to understand the fundamentals of AI.
A popular publication for AI and data science tutorials, articles, and insights
Andi: Towards Data Science is a great resource for staying updated on the latest trends and developments in AI and data science.
A video playlist covering key topics in deep learning by Ian Goodfellow, one of the authors of the Deep Learning textbook
Andi: Ian Goodfellow is a prominent figure in the field of deep learning, and this playlist offers valuable insights into the subject.
A collection of tutorials, blog posts, and books on machine learning topics
Andi: Machine Learning Mastery is a treasure trove of information for anyone looking to delve deeper into the world of machine learning. Highly recommended.
A practical deep learning for coders course and a library, providing best practices in machine learning
Andi: fast.ai is a fantastic resource for deep learning beginners and experienced practitioners alike. The courses are well-structured and easy to follow.
Official tutorials for PyTorch, another popular deep learning library
Andi: PyTorch is known for its flexibility and ease of use. These tutorials are a valuable resource for learning how to use the library effectively.
A platform for data science and machine learning competitions, tutorials, and datasets
Andi: Kaggle is a fantastic platform for practicing and honing your machine learning skills. The competitions are a great way to test your knowledge.
Official tutorials for TensorFlow, a popular deep learning library
Andi: TensorFlow is a powerful tool for building deep learning models, and these tutorials are a great way to get started.
A beginner-friendly course on AI concepts, algorithms, and techniques
Andi: Udacity offers high-quality courses, and this one is no exception. A great starting point for those interested in AI.
Resources and tutorials on artificial intelligence and machine learning concepts.
Artificial intelligence and machine learning videos by Siraj Raval.
Learn deep learning using Keras library with interactive coding exercises.
Online course to learn the basics of deep learning with TensorFlow.
Various courses on deep learning from top universities and institutions.
Famous course by Andrew Ng covering machine learning concepts and algorithms.
Resources and courses from Google to learn artificial intelligence techniques.
Online courses on deep learning by Andrew Ng and his team.
Official tutorials from TensorFlow, a popular open-source machine learning framework.
Learn the basics of machine learning using Kaggle's interactive tutorials and datasets.
Official tutorials from TensorFlow website with code examples for various AI topics.
Famous course by Andrew Ng with code examples and assignments.
Comprehensive deep learning course with code examples and projects.
Interactive courses on machine learning and AI with code examples and projects.
Official tutorials from PyTorch website with code examples for deep learning with PyTorch.
Practical deep learning course with code examples and cutting-edge techniques.
Interactive course on machine learning with code examples and projects using Python.
GitHub repository with TensorFlow code examples for various neural network architectures.
Course on deep learning with Keras library with code examples and exercises.
Course on deep learning with TensorFlow library with code examples and projects.
An open-source machine learning framework developed by Google.
An online platform for learning data science and machine learning through interactive courses.
A machine learning library for Python that provides simple and efficient tools for data mining and data analysis.
A blog with tutorials and articles on machine learning techniques and code libraries.
A user-friendly deep learning library written in Python.
Stanford's course on Convolutional Neural Networks for Visual Recognition.
An online platform offering courses created by Andrew Ng on deep learning and AI.
An open-source machine learning framework developed by Facebook.
A platform for hosting and sharing code, including numerous AI libraries and projects.
An online learning platform offering courses in AI, machine learning, and data science.
Want weekly curated news about all things programming in your inbox? Also, we have an exclusive offer for our newsletter subscribers! Get Udemy courses up to 50% off. Also we now offer 2 free guides for all our subscribers!
NEW! Sign up and get our free guide: 8 programming beginner mistakes to avoid.
Additionally you will get a PDF with the 10 top GitHub repos to jumpstart your programming learning journey!
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