
Stanford University
AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
Python is one of today's most versatile and in-demand programming languages, used in everything from data analysis and automation to web development and machine learning. Companies across nearly every industry now expect at least a working familiarity with it. If code has felt out of reach until now, this course gives you a clear, practical way in, with no assumed background and no wasted time on filler.
You'll start by setting up a working Python environment and organizing your first pieces of data, then write and call your own Python functions, organize larger collections of data using lists and tuples, and control your program's logic with conditional statements and loops. From there, you'll write recursive functions and build classes and objects, giving you a working foundation in both procedural and object-oriented programming.
By the end, you'll be able to write real Python programs from scratch, using functions, data structures, and classes to solve practical problems on your own.
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Madecraft is in Tier 4: commercial training companies and platform-made courses of our institution ranking (52/100).

Stanford University
A curated collection of videos featuring top experts in artificial intelligence.

Stanford University
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…

Stanford University
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…

Stanford University
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…

Massachusetts Institute of Technology
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…

Stanford University
Explore the cutting-edge realm of Large Language Models (LLMs) with this expertly curated YouTube playlist. Featuring insights from industry leaders, educational content, and in-depth discussions, this selection highlights the latest advancements in LLM technology.