David Franco

[Kirk Borne @KirkDBorne]

"Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

Download 737-page PDF at https://t.co/a7DjJcftPA

[Kirk Borne @KirkDBorne]

"Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

Download 737-page PDF at https://t.co/a7DjJcftPA

[Hiroaki Nishikawa @HiroNishikawa]

"A Primer of Mathematical Writing" by Steven G. Krantz.

[Kirk Borne @KirkDBorne]

Learn #Probability Through Problems (exercises, hints, and solutions provided): https://t.co/H1jX6GgLEv
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#Statistics #DataScience #Mathematics

[PyQuant News 🐍 @pyquantnews]

Free PDF download lecture notes for Monte Carlo and Markov Chains:

[Kirk Borne @KirkDBorne]

"The Colossal Book of Short Puzzles and Problems"

Get it at https://t.co/MaM2EDpgQC [512 pages]

#Mathematics #Probability

[SAROJ PARAJULI @Parajulisaroj16]

📌📚In this comprehensive guide, we will provide an overview of Bayesian modeling and computation in Python, including key concepts and popular libraries. https://t.co/Vy0mWvvwg7
#DataScience #pythonprogramming #DataScientist
#machinelearning #statisticalanalysis #dataviz

[Kirk Borne @KirkDBorne]

Comprehensive 822-page book on #MachineLearning with #Python for #AlgorithmicTrading (➕useful in many other business & industry #TimeSeries applications): https://t.co/BR1xhRCEqR by @ml4trading
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#IoT #IIoT #Edge #AI #DataScience #EdgeComputing #Industry40 #EdgeAI #Forecasting

[Python Maps @PythonMaps]

The print copy is officially here. A collection of the maps produced in the various chapters in the thread. https://t.co/sQ1PHByonj

[Information is Beautiful @infobeautiful]

Curve fitting methods & what they say https://t.co/cjbZOiC107

[Probability and Statistics @probnstat]

An Introduction to Statistics: An Active Learning Approach by Keith A. Carlson and Jennifer R. Winquist

[Kirk Borne @KirkDBorne]

#MachineLearning for Data Streams is imperative for digital enterprises to move at the speed of data!
★★★★
Get the book: https://t.co/TA53CFpBF3
★★★★
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#IoT #IIoT #DataScience #AI #ML #StreamAnalytics #EdgeComputing #Edge #EdgeAI #AnomalyDetection #DataScientist

[Kirk Borne @KirkDBorne]

#MachineLearning for Financial Risk Management with #Python — #Algorithms for Modeling Risk: https://t.co/oBePOF3nrh
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#AI #DataScience #ML #Finance #RiskManagement #DigitalTransformation #Fintech #Insurtech #PredictiveAnalytics

[Swapna Kumar Panda @swapnakpanda]

“Machine Learning using Python”

This 366 pages text book for engineering students is now FREE.

[SAROJ PARAJULI @Parajulisaroj16]

By combining the capabilities of the R programming language with the user-friendly interface of RStudio, it offers a comprehensive solution for managing data, performing statistical analysis, and generating graphics. https://t.co/orjnT6DP4b
#DataScience #rstats #DataVisualization

[Kirk Borne @KirkDBorne]

"#Forecasting: Principles and Practice" (3rd edition) by Rob J Hyndman

Read the complete book online here: https://t.co/T0eKbEZUfB
-or-
Get a print copy here: https://t.co/wKiZ7w0Kyl
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#DataScience #PredictiveModeling #TimeSeries #PredictiveAnalytics #MachineLearning #RStats

[Kirk Borne @KirkDBorne]

[Download 208-page PDF eBook] Successful #AlgorithmicTrading — quantitative strategies for profitable trading results: https://t.co/Vu1yt57bPZ
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#TimeSeries #PredictiveAnalytics #Forecasting #MachineLearning #Statistics #DataScience #Algorithms #Mathematics

[🐉 @QuantJunkie]

Bayesian Statistics in Python

Free PDF ebook👇

https://t.co/S6rX0SOHDa

[Kirk Borne @KirkDBorne]

#Algorithms on Trees and Graphs (with #Python Code): https://t.co/GHahR5S6n7

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#AI #MachineLearning #BigData #DataScience #RDF #LinkedData #GraphDB #GraphAnalytics #Semantics #KnowledgeGraphs #RAG #LLMs #DataStructures #DataScientist #Coding

[Kirk Borne @KirkDBorne]

[PDF] Extensive Tutorial on #OutlierDetection Techniques: https://t.co/XeX1Ye2pBn
➕
🌟Comprehensive textbook: https://t.co/XWGQ3IG77I
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#DataScientist #DataScience #AI #MachineLearning #ML #Statistics #IoT #IIoT #Edge #EdgeAI #EdgeComputing #TimeSeries #AnomalyDetection