This article features Noyuri Mima, professor at Hakodate Future University, and explores her journey in the field of science and technology. Miwa recounts a pivotal moment in her youth when she visited the Japan IBM headquarters in 1977 and witnessed a computer instantly print a calendar based on her birthdate. This experience ignited her passion for computers. The article delves into her background, including her education at Toyo English Women's College and her early interest in mathematics and science, highlighting her as a pioneer for women in STEM.
This document provides 68 samples of some of the intelligent textbooks that have been created with our workflows. This list is changing every day, so please check back frequently.
Welcome to AP Computer Science with Python! This is a level-2 intelligent textbook currently under construction.
A paraphrasing of Gerald Jay Sussman's explanation for MIT's switch from Scheme to Python in its undergraduate computer science program, focusing on the changing nature of programming and the need to adapt to modern systems and libraries.
MySat is a fully functional small satellite (CubeSat) STEM kit for space fans. It allows users to build, program, and operate a real satellite system on the ground, providing hands-on experience with space technology.
A 12-week, 26-lesson curriculum all about Machine Learning, using primarily Scikit-learn and avoiding deep learning.
The `mlabonne/llm-course` GitHub page offers a comprehensive LLM education in three parts: **Fundamentals** (optional math/Python/NN basics), **LLM Scientist** (building LLMs – architecture, training, alignment, evaluation, optimization), and **LLM Engineer** (applying LLMs – deployment, RAG, agents, security). It’s a detailed syllabus with extensive resources for learning the entire LLM lifecycle, from theory to practical application.
The `mlabonne/llm-course` GitHub page offers a comprehensive LLM education in three parts: **Fundamentals** (optional math/Python/NN basics), **LLM Scientist** (building LLMs – architecture, training, alignment, evaluation, optimization), and **LLM Engineer** (applying LLMs – deployment, RAG, agents, security). It’s a detailed syllabus with extensive resources for learning the entire LLM lifecycle, from theory to practical application.
A visual introduction to probability and statistics, covering basic probability, compound probability, probability distributions, frequentist inference, Bayesian inference, and regression analysis. Created by Daniel Kunin and team with interactive visualizations using D3.js.
Edison is a programmable robot designed to be a complete STEM teaching resource for coding and robotics education for students from 4 to 16 years of age. Edison empowers students to become not just coders, but inventors, problem solvers, and creative thinkers.
This website details MicroSims, simple animations/simulations generated using generative AI to aid in teaching concepts. It discusses limitations of system prompts, the importance of a MicroSim registry for training AI, and provides examples.
Educational interactive simulations created with generative AI tools and p5.js
