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Andrew Ng’s Machine Learning Collection. Courses and specializations from leading organizations and universities, curated by Andrew Ng. Andrew Ng is founder of DeepLearning.AI, general partner at AI Fund, chairman and cofounder of Coursera, and an adjunct professor at Stanford University.
The Machine Learning Specialization is a foundational online program taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
What you'll learn. Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn. Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression.
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
Discover the best courses to build a career in AI | By Andrew Ng | Whether you’re a beginner or an experienced practitioner our world-class curriculum and unique teaching methodology will guide you through every stage of your AI journey.
A pioneer in the AI industry, Andrew Ng co-founded Google Brain and Coursera, led AI at Baidu, and has reached and impacted millions of learners with his machine learning courses. How the Machine Learning Specialization can help you.
Jun 23, 2024 · Solutions to exercises from the Machine Learning Specialization on Coursera by DeepLearning.AI and Stanford, taught by Andrew Ng. Covers regression, classification, advanced algorithms, unsupervised learning, recommenders, and reinforcement learning using Python, NumPy, Pandas, Matplotlib, scikit-learn, and TensorFlow/Keras. - azaynul10/ml-specialization-exercises
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (gen...
Aug 8, 2017 · Anyone with basic machine learning knowledge can take this sequence of five courses, which make up Coursera’s new Deep Learning Specialization. You will learn the basics of neural networks, gain practical skills for building AI systems, learn about backpropagation, convolutional networks, recurrent networks, and more.
This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This 3-course Specialization is an updated and expanded version of Andrew Ng’s pioneering Machine Learning course.
