Deep Learning for Physics Research: http://
amzn.to/3ubQWQG
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#DataScientist #AI #MachineLearning #ML #NeuralNetworks #ComputerVision #ObjectDetection #DataScience
DATA
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Deep Learning Applications in Physics Research and Scientific Computing
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Synthetic Data Revolutionizes AI and Machine Learning Applications
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Synthetic Data Supercharges Science through AI: https://
seas.upenn.edu/stories/ai-vis
ion-reinvented-the-power-of-synthetic-data/
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+
Book: "Synthetic Data for Machine Learning" at http://
amzn.to/42g5wmM v/ @PacktDataML —
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Avoid common data issues by identifying and solving them using synthetic data-based -
Algorithmic Trading with Python: Quant Methods Using Pandas and Scikit-learn
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The book “#AlgorithmicTrading with Python” discusses modern quant trading methods in Python with a heavy focus on PANDAS, Numpy, and scikit-learn. Get it at: http://
amzn.to/3uvYlKk + Get free code from the book here: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
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Python Data Cleaning Code Snippets and Pandas Cookbook
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Simple Practical Data Cleaning #Python Code Snippets for messy data: http://
bit.ly/3hpthSD
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#DataCleaning Cookbook to prepare your data for analysis — PANDAS, NumPy, Matplotlib, scikit-learn, etc.: http://
amzn.to/4c6DAWf v/ @PacktDataML —————
#DataScience #DataScientist -
ClickHouse string handling techniques and best practices
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How ClickHouse handles strings https://
buff.ly/2xEqVfe
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
2026 Smart Manufacturing Ecosystem Four Critical AI Categories
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The 2026 smart manufacturing ecosystem organizes into four critical categories: Predictive and prescriptive AI. Data infrastructure. Enterprise and automation. OT security. You need capable components from all four. A gap in any category limits the performance of the entire… pic.twitter.com/d0A2l20GzG
— Lucian Fogoros (@fogoros) 17 mars 2026The 2026 smart manufacturing ecosystem organizes into four critical categories: Predictive and prescriptive AI. Data infrastructure. Enterprise and automation. OT security. You need capable components from all four. A gap in any category limits the performance of the entire
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Mistral Introduces Forge: Enterprise AI Models with Proprietary Knowledge
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Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge.
— Mistral AI (@MistralAI) 17 mars 2026
🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models… pic.twitter.com/4YQ3ADvixrToday, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge. 🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations. We have already partnered with world-leading organizations, like ASML, DSO National Laboratories Singapore, Ericsson, European Space Agency, Home Team Science and Technology Agency (HTX) Singapore and Reply to train models on the proprietary data that powers their most complex systems and future-defining technologies.
→ View original post on X — @flashtweet, 2026-03-17 21:00 UTC
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Azure Databricks Serverless Workspaces Now Generally Available
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Serverless Workspaces in Azure Databricks are now generally available!
— Databricks (@databricks) 17 mars 2026
Teams can now spin up fully managed workspaces in minutes — no VNet design, compute provisioning, or infrastructure setup required.
With serverless compute, Databricks-managed storage, and governance through… pic.twitter.com/TKCUUcEvA1Serverless Workspaces in Azure Databricks are now generally available! Teams can now spin up fully managed workspaces in minutes — no VNet design, compute provisioning, or infrastructure setup required. With serverless compute, Databricks-managed storage, and governance through
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Digital Twins Optimize Energy Arbitrage Through Cloud Analytics
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Digital twins create surgical precision in energy arbitrage. OT/IT convergence connects physical battery hardware to cloud analytics, letting utilities manage thousands of distributed assets as one ecosystem. Real-time grid pricing data automates buying low and selling high. pic.twitter.com/lh6645MeWu
— Lucian Fogoros (@fogoros) 17 mars 2026Digital twins create surgical precision in energy arbitrage. OT/IT convergence connects physical battery hardware to cloud analytics, letting utilities manage thousands of distributed assets as one ecosystem. Real-time grid pricing data automates buying low and selling high.
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Bullshit Benchmark: AI Evaluation Dataset and Viewer Tool
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Github: https://
github.com/petergpt/bulls
hit-benchmark
… Data viewer: https://
petergpt.github.io/bullshit-bench
mark/viewer/index.v2.html
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