Alternatives and similar repositories for machine-learning-video-courses:

Users that are interested in machine-learning-video-courses are comparing it to the libraries listed below

• crackingthemachinelearninginterview / Cracking-The-Machine-Learning-Interview
  Code snippets for our Book solutions
  ☆43Updated 5 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆265Updated 4 years ago
• dair-ai / deep_learning_notations
  ➕Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆9Updated 6 years ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆53Updated 3 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 3 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆47Updated 5 years ago
• SouravDutta91 / AI-Residency-List
  List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
  ☆157Updated 4 years ago
• kabartay / OpenUnivCourses
  FREE ML Courses from Top Universities in CS
  ☆248Updated 9 months ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆71Updated 6 years ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆171Updated 2 years ago
• JohnGiorgi / mathematics-for-machine-learning
  A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…
  ☆63Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆76Updated 6 years ago
• rchavezj / Cracking_The_Machine_Learning_Interview
  (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subh…
  ☆87Updated 5 years ago
• Zeeshan75 / Collection-of-interview-questions-ML-pdfs
  Gathered multiple pdfs regarding interview questions on machine learning and deep learning
  ☆51Updated 4 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆142Updated 4 years ago
• omarsar / awesome-production-machine-learning
  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
  ☆16Updated 4 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆342Updated 4 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 3 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆110Updated 3 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 5 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆175Updated 3 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆135Updated 5 years ago
• kushagra06 / CS224n_NLP
  🍚 Stanford CS224n: Natural Language Processing with Deep Learning
  ☆49Updated 6 years ago
• WeiFoo / NoML
  A notebook for machine learning interview
  ☆56Updated 7 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago
• chiphuyen / requests-for-research
  A living collection of deep learning problems
  ☆34Updated 8 years ago
• dipanjanS / transformers_nlp_essentials
  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…
  ☆27Updated 4 years ago
• dair-ai / ml-nlp-paper-discussions
  📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.
  ☆150Updated 4 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆80Updated 2 years ago