Ask any data scientist or a data science enthusiast about handling datasets and they will tell you the importance of sorting, filtering, cleaning, and organizing data in order to uncover hidden insights. Check these resources https://
bit.ly/3NGeN29
MACHINE LEARNING
-
Essential Data Handling Techniques for Uncovering Hidden Insights
By
–
-
Manually Following 70,000 AI Accounts for Curated Content
By
–
I am the only human to follow 70,000 in AI (all added by hand) and I retweet the best I can find.
-
Parameter-Efficient Fine-Tuning of Pretrained Large Language Models
By
–
Now, if we talk about parameter-efficient finetuning of a pretrained LLM, that's a different story.
-
Competing in an IoT World: Key Considerations and Strategies
By
–
Considerations When You’re Competing In An IoT World
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/9vUo30svHTv -
Enterprise Considerations for Generative AI Adoption Strategy
By
–
Adoption Of Generative AI: What Should Enterprises Consider?
#AI #AIio #BigData #ML #NLU #Futureofwork @TopCyberNews @SpirosMargaris @MarshaCollier @MHiesboeck
@MHcommunicate @Fisher85M @MikeQuindazzi @NealSchaffer
http://
ow.ly/rmXR30svHU0 -
Understanding Deep Learning – Comprehensive Neural Network Textbook Released
By
–
Understanding Deep Learning – BOOK Wow, this is such a great deep learning textbook. Covers almost all fundamental neural network techniques and algorithms. The content outline is really nice. Get the book draft: https://
github.com/udlbook/udlboo
k/releases/download/v1.0.4/UnderstandingDeepLearning_08_05_23_C.pdf
… Book website: https://
udlbook.github.io/udlbook/ -
Resources for Instructors: Understanding Deep Learning Book
By
–
There are also resources for instructors. Understanding Deep Learning: https://
udlbook.github.io/udlbook/ -
Three Steps for Building Responsible AI Infrastructure
By
–
3 Steps To Creating The Infrastructure For Responsible AI
#AI #AIio #BigData #ML #NLU #Futureofwork @chrismessina @ChristopherIsak @davidwkenny @debashis_dutta @petitegeek @fabiomoioli @GaryMarcus @asokan_telecom http://
ow.ly/MRQE30svHTB -
Natural Language Processing for Global Supply Chain Analysis
By
–
Using Natural Language Processing for the analysis of global supply chains | Data Science Campus https://
bit.ly/3WjwSFA #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Embedding Models: Ada-002 vs Open Source Competition
By
–
Embedding models are one of the most important parts of model development and deployment. You have to encode all your data in the first place. But while GPT-4 is well ahead of open source competition in LLMs, ada-002 didn't necessarily have that level of a commanding lead.