course-materials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Bug-tracking for Jeff's algorithms book, notes, etc.

A course in reinforcement learning in the wild

Web site for www.py4e.com and source to the Python 3.0 textbook

USC urban data science course series with Python and Jupyter

DL course co-developed by YSDA, HSE and Skoltech

😎 All the required resources to build your own startup

电子科技大学课程复习资料共享平台. Course review material sharing platform of UESTC.

Machine learning course materials.

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Course materials for Dartmouth course: Human Memory (PSYC 51.09)

Lunatech course - "Moving forward from Scala 2 to Scala 3"

Page of the course "Competitive Programming and Contests" at Department of Computer Science, University of Pisa

🗂 Source code for The Vue 2 Master Class

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

Course materials for www.wa4e.com

Tutorial Series (60 hour course): Essentials of computer vision

Scala for Statistical Computing and Data Science Short Course

🗂Source code for the Vuex for Everyone course

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering

course materials for introduction to deep learning 2020

Course Material for the machine learning in financial context bootcamp

Homepage for 17-803 "Empirical Methods" at Carnegie Mellon University

Computer vision and Deep learning in SRU

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering

🗂 Source code for the Vue.js Fundamentals course

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in Fall 2020, and again at UC Berkeley in Summer 2021.

🗺 Source code for the Vue.js Router for Everyone course