Download 237-page PDF “Probability and Statistics for Data Science" …
@kirkdborne
-
Deep Dive into Self-Improving and Adapting LLM Architectures
By
–
[PDF] Deep Dive into Self-Improving and Adapting LLM Architectures Source: https://
linkedin.com/posts/karan-ch
andra-dey-23392b1b9_self-improving-llm-architectures-with-open-activity-7310621303198138368-WFdR
…
—————
#AI #LLMs #GenAI #MachineLearning #DataScience #DataScientist -
Python Notes for Professionals: 856-Page eBook with Code Snippets
By
–
[856-page PDF eBook] #Python Notes for Professionals, with code snippets, hints, and tricks: http://
books.goalkicker.com/PythonBook/
————
#Coding #PyDev #Developers #DataScientist #MachineLearning #AI #DataScience #ComputationalScience #Simulation -
Comprehensive Machine Learning Guide for Finance and Algorithmic Trading
By
–
Comprehensive guide to applying #MachineLearning in #Finance: https://
github.com/mfrdixon/ML_Fi
nance_Codes
… by Matthew F. Dixon …includes some chapters (PDF) from his book. The book: http://
amzn.to/3BHA47J
————
#AlgorithmicTrading #Fintech #ML #DataScience #Statistics #Quant #DataScientist -
Applied Causal Inference with Machine Learning and AI
By
–
[Download 496-page PDF eBook] Applied Causal #Inference — powered by #MachineLearning and #AI: http://
arxiv.org/abs/2403.02467
—————
#ML #DataScience #Algorithms #Statistics #DataScientist #PredictiveAnalytics -
Free Python Programming eBook: Practical Introduction for Data Science
By
–
[Download 263-page PDF eBook] A Practical Introduction to #Python Programming: https://
brianheinold.net/python/A_Pract
ical_Introduction_to_Python_Programming_Heinold.pdf
…
—————
#DataScience #DataScientist #Coding #ComputationalScience #MachineLearning #ML -
Mathematical Theory of Deep Learning: Updated 282-Page PDF Guide
By
–
[Download 282-page PDF. Updated version.]
Mathematical Theory of Deep Learning: http://
arxiv.org/abs/2407.18384
————
#AI #ML #MachineLearning #DeepLearning #Mathematics #DataScience #DataScientist -
Introduction to Machine Learning: Free 674-Page PDF Textbook
By
–
[Download 674-page PDF eBook] Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): http://
arxiv.org/abs/2409.02668
————
#MachineLearning #DeepLearning #AI #Mathematics #DataScience #DataScientist -
Machine Learning Time Series: Forecasting, Prediction, Anomaly Detection
By
–
#MachineLearning for #TimeSeries with #Python — Forecast trends, Predict the future, Detect anomalies with state-of-the-art #ML methods: http://
amzn.to/3xf5ZdI by @benji1a ——————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #DataScientist -
Building Agentic RAG Applications Training Session
By
–
1-hour training session from @SingleStoreDB — Building Agentic RAG Applications