18 data science tools to consider using in 2024. https://
techtarget.com/searchbusiness
analytics/feature/15-data-science-tools-to-consider-using
… via @techtargetnews #DataScience #analytics #datasets #code #Javascript #Data #DataScientists #SQL #BigData #Python #Tech #IoT #ML #NLP #TensorFlow #Coding #codenewbies #100DaysOfCode
TECHNOLOGY
-
18 Essential Data Science Tools for Analytics Professionals
By
–
-
AI Pioneer’s Book Available at Discounted Kindle Price
By
–
Some of you can get my book “The Worlds I See: Curiosity, Exploration and Discovery at the Dawn of AI” for $1.99 on Kindle now – it’s a limited promotion!
-
Scaling Deep Learning: The Controversial Path to AI Performance
By
–
Back then, the idea that scaling deep learning would lead to significant performance gains was controversial. Several senior academic colleagues were advising me not to waste time trying to scale deep learning, but to just focus on inventing new algorithms, which was where they
-
DistBelief: The Distributed Neural Network System Behind Modern AI
By
–
The name actually was "DistBelief" for a few reasons. The first was a play on "disbelief", because many people didn't seem to believe the approach of large-scale distributed neural networks would work. The second was because Deep Belief Networks was one of many algorithms we
-
Best Tech Blogs Written in Silent Focused Night Hours
By
–
Best tech blogs are written in that few silent focused hours in night.
-
Major Achievement Advancing Digital Economy Objectives
By
–
Another amazing landmark achiement to promote the key objectives of digital economy @Dalyahya
-
In-Context Learning Performance with Extreme Long-Context Models
By
–
10). In-Context Learning with Long-Context Models – studies the behavior in-context learning of LLMs at extreme context lengths with long-context models; shows that performance increases as hundreds or thousands of demonstrations are used.
-
Neural Network Training Scaled 30X Beyond Previous Literature Records
By
–
This system successfully scaled up training of a neural net 30X larger than previously reported in the literature. You're somehow not very knowledgeable & very opinionated about it, referring to it as a "dead end". Even your "Apologies for the confusion" tweet is incorrect.
-
Backpropagation Support in Neural Networks ICML Paper
By
–
It supported backprop from day one, so I'm not sure where you got that Idea. From the ICML paper you mention above:
-
Building RAG Web App with Streamlit and Embedchain
By
–
1. Import necessary libraries • Streamlit for building the web app
• Embedchain for the RAG functionality