Вам может понравиться
MIT's "Statistics for Applications" Lecture Videos: youtube.com/playlist?list=… Lecture Slides: ocw.mit.edu/courses/18-650…
"Foundations of Machine Learning" A MUST for learning AI/ML. Absolutely Beginner friendly. Do you want to read it FREE?
[Updated 737-page PDF eBook] Mathematical Introduction to #DeepLearning — Methods, Implementations, and Theory: arxiv.org/abs/2310.20360 ———— #AI #Mathematics #DataScience #Algorithms #ML #MachineLearning #Calculus #LinearAlgebra #DataScientist
![KirkDBorne's tweet image. [Updated 737-page PDF eBook]
Mathematical Introduction to #DeepLearning — Methods, Implementations, and Theory: arxiv.org/abs/2310.20360
————
#AI #Mathematics #DataScience #Algorithms #ML #MachineLearning #Calculus #LinearAlgebra #DataScientist](https://pbs.twimg.com/media/G38eqD1WgAE5z5B.jpg)
[Download 309-page PDF eBook] "Patterns, Predictions, and Actions: A Story About #MachineLearning" at arxiv.org/abs/2102.05242 …sharpen your #Probability, #Calculus, and #LinearAlgebra knowledge with this! ————— #DataScience #AI #DeepLearning #ML #DataScientist #Mathematics
![KirkDBorne's tweet image. [Download 309-page PDF eBook] "Patterns, Predictions, and Actions: A Story About #MachineLearning" at arxiv.org/abs/2102.05242
…sharpen your #Probability, #Calculus, and #LinearAlgebra knowledge with this!
—————
#DataScience #AI #DeepLearning #ML #DataScientist #Mathematics](https://pbs.twimg.com/media/G38XNGIXIAAGNlA.jpg)
Understanding P-Values is essential for improving regression models. In 2 minutes, I'll crush your confusion.
GitHub site for the book "Mathematical Methods in Data Science (with Python)" (soon to be published): mmids-textbook.github.io You can pre-order a print copy of the book here (with Amazon price guarantee): amzn.to/3KrbKvu
Understanding probability is essential in data science. In 4 minutes, I'll demolish your confusion. Let's go!
The math of LLMs is a fusion of three key areas: 1) Probability: They are massive statistical models that predict the next word based on the probability of what's come before. 2) Linear Algebra: All words and concepts are encoded as high-dimensional vectors (embeddings). The…
(Download 454-page PDF eBook) Introduction to Graph Theory: arxiv.org/abs/2308.04512 — edges, vertices, trees, networks, paths, and graphs (and theorems!) + Source for attached graphic: memgraph.com/blog/graph-alg… ————— #Mathematics #NetworkScience #DiscreteMath #GraphTheory
Last year, Sarthak (now at Princeton) did a directed reading project (DRP) under my guidance. Preparing these ordinary high-school children with pre-requisites to do such DRPs is the most difficult & demanding part of my mentorship. One such case is here sites.google.com/view/prasanna-….
"Introduction to Applied Linear Algebra" This book from Stanford University is available FREE. To get your copy, comment below.
Bayes Rules! — An Introduction to Applied Bayesian Modeling: amzn.to/3Qp0jo7 + Bayesian Modeling and Computation in #Python: amzn.to/3K15NQo ————— #Statistics #DataScience #Mathematics #Inference #ComputationalScience #Simulation #Probability #DataScientist
Gilbert Strang's "A Vision of Linear Algebra" Presents Professor Strang’s updated vision of how linear algebra could be taught. Youtube Playlist: youtube.com/playlist?list=… Course Website: ocw.mit.edu/courses/res-18…
At MIT, the only course I ever dropped was signal processing. The DFT math was too intimidating. It’s so easy to just type fft() in MATLAB and move on. Years later, I finally did DFT by hand. ✍️ If you are also afraid of DFT, I hope this helps! ⬇️ Download:…
Model-Based Clustering and Classification for #DataScience, with Applications in R: amzn.to/4aV1VhH ————— #Rstats #DataScientist #MachineLearning #ML #AI #Statistics #Mathematics
#Probability and #Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: amzn.to/43a7tmo
![KirkDBorne's tweet image. #Probability and #Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: amzn.to/43a7tmo](https://pbs.twimg.com/media/G21p2ZMXYAAip9n.jpg)
Must-read excellent books with 🆓 PDF available to download from the author/book web pages
11 FREE Books from MIT for Absolute Beginners - Machine Learning (ML) - Deep Learning (DL) - Reinforcement Learning (RL) - Artificial Intelligence (AI) To get: - 1. Follow (So I can DM you ) 2. Like & retweet 3. Reply " Send "
Michigan's "Robotics 501: Mathematics for Robotics" 📽️ Lecture Videos: youtube.com/playlist?list=… 📷 Github: github.com/michiganroboti…
Stanford is offering Deep Learning course for FREE! Instructor: Andrew Ng Launched on: September 23, 2025 Find the first lecture video in the 🧵👇
United States Тренды
- 1. Aaron Gordon 28.2K posts
- 2. Steph 66.6K posts
- 3. Jokic 23.5K posts
- 4. #criticalrolespoilers 13.8K posts
- 5. Halle 21K posts
- 6. #EAT_IT_UP_SPAGHETTI 251K posts
- 7. Wentz 25.6K posts
- 8. Vikings 53.1K posts
- 9. Warriors 93.4K posts
- 10. #LOVERGIRL 18.7K posts
- 11. Hobi 43.4K posts
- 12. #breachchulavista 1,287 posts
- 13. Nuggets 27.2K posts
- 14. Megan 38.6K posts
- 15. Cam Johnson 1,701 posts
- 16. Ronald Reagan 20K posts
- 17. Pacers 22.3K posts
- 18. Talus Labs 19.2K posts
- 19. #thebakkery 2,056 posts
- 20. cupcakke 4,621 posts
Something went wrong.
Something went wrong.