@high_tech02: Free Resources to Learn AI The world of AI is vast and exciting, and there's a wealth of free resources available to help you start your journey. Here are some of the best options: Online Courses * Google's Machine Learning Crash Course: A hands-on introduction to machine learning concepts and tools. * Andrew Ng's Machine Learning Course on Coursera: A classic course covering the fundamentals of machine learning. * Fast.ai: Offers practical deep learning courses with a focus on real-world applications. * Kaggle Learn: Provides interactive tutorials and competitions to practice your skills. * edX: Offers a variety of AI and machine learning courses from top universities. Online Tutorials and Documentation * TensorFlow and PyTorch: These are popular deep learning frameworks with extensive documentation and tutorials. * Scikit-learn: A Python library for machine learning with clear documentation and examples. * Keras: A high-level API for building neural networks, often used with TensorFlow or Theano. YouTube Channels * 3Blue1Brown: Visual explanations of complex mathematical concepts related to machine learning. * Sentdex: Python programming tutorials with a focus on data science and machine learning. * The Coding Train: Creative coding and machine learning projects. Books * Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron * Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville * Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili Practice Platforms * Kaggle: Offers datasets and competitions to apply your skills. * UCI Machine Learning Repository: Provides a variety of datasets for experimentation. Additional Tips * Start with the basics: Understand linear algebra, calculus, and probability before diving into AI. * Practice regularly: Build projects and participate in competitions to improve your skills. * Join online communities: Connect with other learners and experts to share knowledge and get support. * Experiment and explore: AI is a rapidly evolving field, so stay curious and try new things. Would you like to focus on a specific area of AI, such as machine learning, deep learning, or natural language processing? I can provide more tailored recommendations based on your interests. Do you have any specific questions about getting started with AI? * https://ai.plainenglish.io/delving-into-machine-learning-tools-%EF%B8%8F-and-essential-knowledge-642ffb2ca78 * https://mojan.ca/blogs/industry-career/ultimate-data-science-reading-list

high_tech

Open In TikTok:

Region: MA

Monday 29 July 2024 13:19:33 GMT