This book had a big impact on my thinking (graph databases, linked data, semantic knowledgebases, contextual metadata, connected IoT, context engineering, etc.): http://
amzn.to/4cBYJIi "Linked: How Everything is Connected to Everything Else — What It Means for Business,
DATA
-
Graph Databases and Linked Data Impact on Knowledge Systems
By
–
-
Probability Statistics Essentials for Data Science Machine Learning
By
–
Probability and Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: http://
amzn.to/43a7tmo -
Pushing Datasets to Hugging Face Community Platform
By
–
Do you think it could push to http://
HF.co/datasets for the community? -
50 Days of Data Analysis with Python Book for Beginners
By
–
Check out this great book >> 50 Days of Data Analysis with Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientist -
NaLaFormer: Faster AI Models with Less Memory
By
–
What if your AI models could process massive data faster, with far less memory, and achieve state-of-the-art accuracy? Researchers from Harbin Institute of Technology, Pengcheng Laboratory, and UQMM Lab introduce NaLaFormer. Their NaLaFormer method uses a clever
-
Deep Learning Applications in Physics Research
By
–
Deep Learning for Physics Research: http://
amzn.to/3ubQWQG
————
#DataScientist #AI #MachineLearning #ML #NeuralNetworks #ComputerVision #ObjectDetection #DataScience -
First Course in Causal Inference: Resources and Learning Materials
By
–
A First Course in Causal Inference: http://
arxiv.org/abs/2305.18793 [490-page PDF download] + Also see the book "Causal Inference in Statistics: A Primer" at http://
amzn.to/3Mrm2wO by @yudapearl #Probability #Mathematics #DataScience #ML #MachineLearning #DataScientist #DataAnalysis -
Naive Bayes Classification Explained with Python Code and Resources
By
–
Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
…
+
Learn more in this book: http://
amzn.to/312hAHF
————
#DataScience #MachineLearning #AI #ML #Statistics #DataScientist -
Data Quality Challenges in Open Source AI Models
By
–
Yeah I keep thinking about how to do this well, but the data is too noisy and open models are mostly too small
-
Mastering Data Science: Comprehensive Hands-on Guide
By
–
Mastering Data Science — A Comprehensive Hands-on Guide: http://
amzn.to/4ctYrGD
——————
#AI #ML #MachineLearning #DataScientist #DataScience #Analytics