NLP A thorough introduction to cutting-edge neural networks for NLP. A hands-on course with plenty of assignments & a final project. PyTorch for all the code! Check this out https://
youtube.com/playlist?list=
PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ
…
MACHINE LEARNING
-

PyTorch Neural Networks Course for NLP Fundamentals
By
–
-

Stanford Computer Vision Course: Deep Learning Fundamentals by Karpathy
By
–
Computer vision A great course covering fundamentals of Deep Learning, focusing on Computer vision applications! Its was started by Andrej Karpathy at Stanford! Check this out https://
youtube.com/playlist?list=
PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk
… -
Statistical Learning Course: Master Data Science and Modeling Tools
By
–
Statistical learning Learn some of the main tools used in statistical modeling and data science. Covers both traditional as well as exciting new methods. Check this out https://
edx.org/course/statist
ical-learning?webview=false&campaign=Statistical+Learning&source=edx&product_category=course&placement_url=httpswww.edx.orgschoolstanfordonline
… -

Stanford Offers Free World-Class Data Science Education Online
By
–
Stanford offers FREE Data Science Education! World-class courses on: – Machine Learning
– Computer Vision
– Statistical Learning
– Graph Neural Networks
– Reinforcement Learning
– Natural language processing (NLP)
– Large Language Models (LLMs) Read more… -
Neural Networks and Entropy: Creating Order Through Learning
By
–
I agree with @DrJimFan.
— Nando de Freitas (@NandoDF) 18 février 2024
Life, with all its midblowing structure, is about creating order in a universe of increasing disorder, see e.g. https://t.co/GwK3AR94h4 for an easy intro. Like a cell, a neural network during training takes energy to minimise disorder, that is to predict… https://t.co/l9p5dsFjl7I agree with @DrJimFan
. Life, with all its midblowing structure, is about creating order in a universe of increasing disorder, see e.g. https://
newscientist.com/article/232382
0-is-life-the-result-of-the-laws-of-entropy/
… for an easy intro. Like a cell, a neural network during training takes energy to minimise disorder, that is to predict -
Training AI Models with Physics Simulators and Synthetic Data
By
–
If we’re training on synthetic data already, there’s a possibility to give the model access to run experiments, get counter factuals against an actual physics simulator. It’s like how we learned physics as humans — through experimentation.
-
Improving Language Models Through Fine-Tuning and Data Quality
By
–
I think we need to increase the data and its quality, and as in LMs do fine tuning (aka grounding). The model already has compression bottlenecks, which we could improve sure, but the concepts are already there.
-

KubeStack: Building Full-Stack AI and Data Solutions
By
–
#KubeStack: Toward Full-Stack. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Kubestack-Full
stack
… -

Best Machine Learning Books for Beginners Guide
By
–
Best Machine Learning Books for Beginners. #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/M-Books-Beginn
ers
… -

Machine Learning Enhances Cancer Detection with Advanced Bionic Vision
By
–
#MachineLearning Is Giving Cancer Detection New Bionic Eyes. #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #HealthTech https://
geni.us/Bionic-Eyes