Just released! New report "The Path to #AI Maturity 2024 – Executive Survey": https://
info.lxt.ai/the-path-to-ai
-maturity-2024?utm_source=influencer&utm_medium=linkedin&utm_campaign=kirk_borne_path_to_ai_maturity_2024
… by @lxt_ai Report highlights a major shift from experimentation & pilot tests to AI in production, plus the rising importance of #GenerativeAI in the majority of organizations.
RESEARCH
-
AI Maturity Report 2024: Shift to Production and Generative AI
By
–
-
Multi-Resolution Weak Supervision for Sequential Data Research Dissection
By
–
Throwback to an enlightening session from 2021 when our talented team dissected the research paper 'Multi-Resolution Weak Supervision for Sequential Data' Watch the session here: https://
youtube.com/watch?v=G0sDtK
08330
… #snorkelai #machinelearning #neurips #AIeducation -
New Interpretable Machine Learning Python Book Second Edition Released
By
–
I have this incredible 606-page new book from @PacktPublishing
: http://
amzn.to/463U79Y by @smasis "Interpretable #MachineLearning with #Python: Build high-performance models with hands-on, real-world examples" (2nd Ed.)
————
#AI #XAI #ML #BigData #DataScience #DataScientists -
Develop High-Performance, Low-Bias, Explainable ML Models with Python
By
–
Develop and Debug high-performance, low-bias, and explainable #MachineLearning and #DeepLearning Models with #Python: http://
amzn.to/3u2JiIB by @AliMLearning , published by @PacktPublishing —————
#DataScientists #ComputationalScience #Coding #DataScience #AI #XAI #PyTorch -
Python Feature Engineering Cookbook: 70+ Recipes for Machine Learning
By
–
#Python #FeatureEngineering Cookbook with 70+ recipes for creating, engineering, & transforming features for #MachineLearning models (2nd Edition): http://
amzn.to/3Ssdh5X via @PacktPublishing ————
#AI #BigData #DataStrategy #DataLiteracy #DataScience #DataScientists #Coding #ML -
Vector Search for Practitioners with Elastic NLP Toolkit
By
–
Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe via @PacktPublishing ——
#DataScience #Analytics #DataScientists #MahineLearning #BigData #AI #VectorDB #RAG #LLMs #GenerativeAI -
50 Essential Algorithms Every Programmer Should Know
By
–
50 #Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk via @PacktPublishing —————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience -
LLM-Enabled Commercial Demos: Cautious Optimism Required
By
–
Lots of cool commercial demos of LLM-enabled technologies: Devin the software coding agent, Klarna's customer service, Sora, the Figure robot… All of them may be possible, given what we know of LLMs, but it is worth taking demo claims with tons of caution until there is proof
-
LLM Capabilities and Limitations: The Jagged Frontier
By
–
Yes, LLMs are bad at: word games (due to tokenization), math (unless using tools), accurate citations & quotes, etc. Easy to find failures there The whole idea of the Jagged Frontier is that they are bad in ways you may not expect and good at other tasks that are hard for people
-
Algorithms on Trees and Graphs with Python Code Book
By
–
#Algorithms on Trees and Graphs (with #Python Code): http://
amzn.to/3IrmKWs
——————
#AI #MachineLearning #BigData #DataScience #RDF #LinkedData #GraphDB #GraphAnalytics #Semantics #KnowledgeGraphs #RAG #LLMs #DataStructures #DataScientists #Coding