#MachineLearning Refined — Foundations, #Algorithms, and Applications (with 100 in-depth coding exercises in #Python): http://
amzn.to/3EblXVx —————
#Coding #DataScience #ML #AI #DeepLearning #NeuralNetworks #Mathematics #DataScientist
DATA
-
Machine Learning Refined: Foundations, Algorithms, and Python Applications
By
–
-
Bayesian Machine Learning and Probabilistic Learning Methods for Data Science
By
–
Bayesian #MachineLearning — Probabilistic Learning See the book "Bayesian Methods for Hackers": http://
amzn.to/2Ni4xOz —————
#DataScience #ML #AI #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms -
Algorithms to Live By: Computer Science Approaches to Human Decision Making
By
–
#Algorithms to Live By — The Computer Science of Human Decisions: http://
amzn.to/34Bbx0k
—————
#DataScience #ComputerScience #Analytics #Mathematics #Statistics #DecisionScience #MachineLearning #ML #AI #DataScientist #CDO -
Master Data Science Interviews with 201 Real FAANG Questions
By
–
Ace the #DataScience Interview with 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street: http://
amzn.to/47tv4hW
—————
#BigData #Analytics #PredictiveAnalytics #DataScientists #AI #MachineLearning #ML #Statistics #Algorithms #SQL #Database #Coding #Python -
Deep Learning Theory: Mathematical Foundations and Principles Guide
By
–
Principles of #DeepLearning Theory—Theoretical & Mathematical Foundations:
471-page PDF Draft: http://
arxiv.org/abs/2106.10165
or
Buy new edition: http://
amzn.to/3qoqmS5
—
#DataScience #AI #MachineLearning #NeuralNetworks #LinearAlgebra #Algorithms #Mathematics #Calculus #DataScientist -
Algorithms on Trees and Graphs with Python Code Tutorial
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 #DataScientist #Coding -
Competing in the Age of AI: Strategy and Leadership Guide
By
–
"Competing in the Age of #AI: Strategy and Leadership When Algorithms and Networks Run the World" http://
amzn.to/3rehbPY —————
#DataScience #MachineLearning #ML #AIStrategy #DataStrategy #DigitalTransformation #FutureOfWork -
Claude 3 Sonnet Classifier Detects CBRN Information in Training Data
By
–
We trained six different classifiers to detect and remove CBRN information from training data. The best and most efficient results were from a classifier that used a small model from the Claude 3 Sonnet series to flag the harmful data.
-
AI Training Data Filtering Removes Hazardous Information
By
–
The wealth of data used in AI training contains hazardous CBRN information. Developers usually train models not to use it. Here, we tried removing the information at the source, so even if models are jailbroken, the info isn't available. Read more: https://
alignment.anthropic.com/2025/pretraini
ng-data-filtering/
… -
Magic Canvas: AI’s Smarter Context Through Integrated Data, Rules, Assets, and Knowledge
By
–
1. Visual context at the core Magic Canvas isn’t a drawing board. It’s a fully integrated environment where: • Data
• Rules
• Assets
• Knowledge all feed the AI. Smarter context = smarter apps.