For #ComputationalScience and #DataScience coding lovers, here is a new book for you: "Modeling and Simulation in #Python — An Introduction for Scientists and Engineers" (with a focus on learning by doing). Get it at http://
amzn.to/3K2RHQ9 by @AllenDowney via @NoStarch Press
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Python Modeling Simulation Book for Scientists Engineers
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Data Literacy in Practice Book Review and Recommendations
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Great book from @PacktPublishing — "Data Literacy in Practice" at: http://
amzn.to/3W4tDli
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#BigData #BI #Analytics #DataScience #AI #MachineLearning #DataLiteracy #DataFluency #DataStorytelling #VisualAnalytics #DataViz #DataScientists #DataLeadership #AnalyticThinking -
Alteryx Inspire 2026: Cloud Data Analytics Conference Starts
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It. Is. GO TIME. #AlteryxInspire starts in 24 hours! Hear from top cloud and #DataAnalytics players Experience Grand Prix action as users race thru workflows Learn what it takes to be a part of the Enterprise of the Future VIRTUAL registration: http://
ow.ly/jwYm50NGyra -
Essential Elements for Successful Digital Transformation Journey
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Discover the essential elements for a prosperous #DigitalTransformation journey, as outlined by @ingliguori via @kenovy_it
. From #Cloud to #Blockchain, #AI to #DataScience, and beyond, explore the latest in #DX, #UX, #CX, and even the #Metaverse. -
Master PySpark: Essential Skills for Big Data Engineers
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Pyspark is an essential skill to become a big data engineer Learn Pyspark using the below YT tutorials at FREE of cost
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Python Tutorial for Beginners: Learn Python Programming Easily
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#Python Tutorial For Beginners – Learn Python Easily http://
bit.ly/42TkYol @Great_Learning via @ipfconline1 #Coding #AI #DataScience #100DaysOfCode #AI #Analytics #DataScientists #Statistics #NeuralNetworks #DeepLearning #SupervisedLearning @SpirosMargaris -
DoReMi: Domain-Weighted Resampling for Efficient Model Training
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7/ DoReMi – trains a small proxy model over domains to produce domain weights without knowledge of downstream tasks; it resamples a dataset with the domain weights which allows using a 280M proxy model to train an 8B model (30x larger) more efficiently.
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Machine Learning on Graphs: Applications and Breakthroughs
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ML on graphs has produced breakthrough results in various applications such as: – Protein function prediction
– Fraud detection
– Recommender systems
– Building Maps If you're interested in Machine Learning on Graphs, this thread is for you: -
AI Unlocks Deeper Oil Extraction Through Advanced Analytics
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Artificial Intelligence Is Wading Into the Deep to Unlock More Oil – The Motley Fool Read more here: https://
ift.tt/4PTmC2O #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT