GPT, Generative AI, and LLM! @AverConferences #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysOfCode https://
geni.us/Aver-Confer
MACHINE LEARNING
-
GPT Generative AI and LLM Technologies Conference Overview
By
–
-
90+ Essential Machine Learning Books for Data Science
By
–
90+ ML Books in #MachineLearning. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode https://
geni.us/ML-Books-Machi
ne-L
… -
In-Memory Computing Advances Machine Learning Performance
By
–
In Memory Computing for Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
-
Top Machine Learning and Deep Learning Researchers to Follow
By
–
Top #MachineLearning, #DeepLearning Researchers to Follow OutSide and On Twitter! by @MirrorReview1
! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless -
Data Leakage in Recommendation Systems from User Interaction Patterns
By
–
Good point. Btw, you also see a similar leakage trap in recommendation datasets. Most recsys data is built around users interacting with items over time, which means the same user appears dozens or hundreds of times. If you do a plain random split, you accidentally leak the
-
Correcting LLM-as-a-Judge Bias Statistical Calibration Method
By
–
How to Properly do LLM-as-a-Judge Raw LLM-as-a-Judge scores are inherently biased due to how LLMs would often make mistakes This paper proposes a simple statistical method to correct the scores and calculate valid confidence intervals via a human-verified calibration set
-
Reshare Insights on LLMs AI Agents and Machine Learning
By
–
If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
-
TMLR Journal Partnerships Expand AI Research Conference Collaborations
By
–
I like to think that what we've slowly been building at TMLR is getting close to that, notably with our partnerships with various conferences that allow an accepted journal paper to then be presented at some specialized conferences like CoLLAs, RLC, AutoML, etc.
-
9 AI Skills That Will Matter in 2026 Beyond ChatGPT
By
–
9 AI skills that will actually matter in 2026
(not just “use ChatGPT”) Prompt engineering RAG pipelines Agentic workflows Fine-tuning & distillation LLM evaluation & red-teaming Cost & latency optimization Tool calling + function calling Multimodal -
Can AI Systems Truly Understand the Real World?
By
–
How deeply predictive AI systems understand their subject matter? Can large language models figure out the real world? https://
news.mit.edu/2025/can-large
-language-models-figure-out-real-world-0825
… #AI #MachineLearning #MIT @mitsmr @Hal_Good @AlexMachicado @Analytics_699