Brilliant 798-page book covers “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 #DataMining #Mathematics #Calculus #DataScientist
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Comprehensive 798-Page Machine Learning Algorithms Book Review
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Python Machine Learning By Example Fourth Edition Book GitHub
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#Python #MachineLearning By Example (4th Edition): http://
amzn.to/3MczBwk
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GitHub: https://
github.com/PacktPublishin
g/Python-Machine-Learning-By-Example-Third-Edition
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#MachineLearning #ML #DataScience #DataScientist
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518-page book! What you will learn: Machine learning best practices throughout data preparation and model -
50 Days of Data Analysis with Python for Beginners
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See this fun book! >> 50 Days of Data Analysis with #Python — Ultimate Book of Challenges for Beginners, with Hands-on Challenges using PANDAS, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #ML #DataViz #DataScientist #Coding -
Data-Centric Machine Learning with Python: Engineering Quality Models
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Data-Centric #MachineLearning with #Python: The ultimate guide to engineering & deploying high-quality models based on good data. At http://
amzn.to/3UC1R0Q (with Foreword by me)
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#DataScience #DataEngineering #DataEngineer #Coding #AI #ML #DataScientist #CDO #CMO -
Pair Programming: The Underutilized Engineering Tool at Shopify
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Pair programming: The most underutilized programming tool in engineering, according to @fnthawar, Head of Eng at @Shopify pic.twitter.com/DpYEnRSa4O
— Lenny Rachitsky (@lennysan) 31 décembre 2024Pair programming: The most underutilized programming tool in engineering, according to @fnthawar
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VRAGE3 Engine Powers Space Engineers 2 Development
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@janhlousek Our tech-director Cendo will be best to answer! I can say that SE2 is using the new generation of our engine – VRAGE3. Yes it is still C#/NET based, but has evolved since the XNA roots (actually even SE1 didn't have the XNA stuff anymore) IMHO, XNA was good, I liked
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Phi 4 Model Availability: Azure to Hugging Face Migration
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Phi 4 is only on Azure, they haven't uploaded it on HF yet, so I made a placeholder URL for when they upload lol. Will update it to use the Azure URL.
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Breaking the Rules with Expression Expansion in LLMs
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Breaking the rules with expression expansion https://
bit.ly/3VO9gtM
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Cursor’s 5k tokens per second speed
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Cursor now can "apply" with 5k tokens per second 🤯
— 🚨 AI News | TestingCatalog (@testingcatalog) 31 décembre 2024
How soon will we be getting isomorphic code that changes as you speak? 👀
h/t @cursor_ai pic.twitter.com/QNhyJpO5EkCursor now can "apply" with 5k tokens per second How soon will we be getting isomorphic code that changes as you speak? h/t @cursor_ai
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Apply Model Now Edits 5000 Tokens Per Second
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We shipped several upgrades to our Apply model this month. It can now accurately edit over 5k tokens per second.
— Cursor (@cursor_ai) 31 décembre 2024
Try it out in chat, composer, or agent! pic.twitter.com/NHiird1KuqWe shipped several upgrades to our Apply model this month. It can now accurately edit over 5k tokens per second. Try it out in chat, composer, or agent!