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
CODE
-

Master Data Science Interviews with 201 Real FAANG Questions
By
–
-

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 -

Comprehensive 798-Page Machine Learning Algorithms Book Recommendation
By
–
Brilliant 798-page book explains “every #ML algorithm from A to Z” — I have a copy and I love it! >> "Mastering #MachineLearning Algorithms" at http://
amzn.to/37cDZ7F by @GiuseppeB —————
#Python #DeepLearning #AI #DataScience #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 -

Advanced Python Programming Exercises for Coding Interview Preparation
By
–
77 #Python Advanced Programming Exercises — Complete Python Concepts covered in detail. Prepare For Your Coding Interviews here: http://
amzn.to/45myvWs
————
#Coding #Algorithms #MachineLearning #DataScientist #DataScience #ML #ComputationalScience -

50 Essential Algorithms Every Programmer Should Master
By
–
50 #Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk via @PacktDataML —————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience -
Informatics Not Computer Science: Terminology Matters
By
–
Calling informatics ‘computer science’ was like naming psychology ‘head science’ or economics ‘money science’.
-
Managing AI teams for client projects, the freelancer’s dream
By
–
Very interesting, yes. I really think there is a world where we could all become managers of AI teams that code on independent client projects. The ultimate freelancer's dream. Honestly though, I don't think that will lower the price that much.
-
Speed Level Compared to Claude Code and Time Perception
By
–
Level speed isn't as long as Claude Code, I find. But the thing is, it talks A LOT. So I read A LOT. I don't know if it unconsciously makes me wait and gives me the impression that it goes faster lol.
-
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.