The book “#AlgorithmicTrading with Python” discusses modern quant trading methods in #Python with a heavy focus on PANDAS, Numpy, and scikit-learn: http://
amzn.to/3uvYlKk by @__chrisconlan__ Get free code from the book here: https://
github.com/chrisconlan/al
gorithmic-trading-with-python
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@kirkdborne
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Algorithmic Trading with Python: Modern Quant Methods and Free Code
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Deep Learning Anomaly Detection for Fast Data Response
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#AnomalyDetection by @AbacusAI uses leading-edge #DeepLearning models to spot anomalies in your data and to enable fast informed response: https://
abacus.ai/anomalydetecti
on
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#AI #MachineLearning #BigData #Analytics #DataScience #CDO #DataScientists #DataQuality -
Top Artificial Intelligence Books for Career Growth and Learning
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Explore TOP #Artificialintelligence Books for reading, learning, growing your knowledge and advancing your career: http://
amzn.to/2YRE6Sj
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#DataScience #DataMining #MachineLearning #AI #DeepLearning #Mathematics #GenerativeAI #LLMs #Algorithms #DataScientist #Python -
Dancing with Qubits: Quantum Computing Journey and Machine Learning
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Dancing with Qubits — From qubits to algorithms, embark on the #QuantumComputing journey shaping our future: http://
amzn.to/4bJNwFj [2nd Edition] from @PacktPublishing Includes Quantum #MachineLearning and #AI ————
#ComputerScience #ComputationalScience #Mathematics -
Mathematical Theory of Deep Learning: PDF Download and Book Reference
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Mathematical Theory of #DeepLearning [download 267-page PDF]: http://
arxiv.org/abs/2407.18384
+ +
See also this book: http://
amzn.to/3BqaW5e
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#AI #DataScience #ML #MachineLearning #Calculus #DataScientist #Mathematics #Algorithms -
Practical Linear Algebra for Data Science with Python Applications
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Practical Linear Algebra for #DataScience — From Core Concepts to Applications Using #Python — http://
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#DataScientist #AI #ML #MachineLearning #Mathematics #LinearAlgebra #Coding -
Abacus AI ChatLLM: Data Science Co-Pilot Revolutionizes ML Workflow
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The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
— Kirk Borne (@KirkDBorne) 21 décembre 2024
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production
🚀
>=> an incredible aid to #DataScientists pic.twitter.com/OpvXmxWGd5The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production >=> an incredible aid to #DataScientists -
ML Model-Serving Patterns and Best Practices Production Guide
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#MachineLearning Model-Serving Patterns & Best Practices — Definitive guide to deploying, monitoring, & providing accessibility to #ML models in production: http://
amzn.to/3vNwKoT v/ @PacktPublishing ——
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -
RAG-Driven Generative AI: Building Custom Retrieval Augmented Generation Pipelines
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RAG-Driven #GenerativeAI — Build custom Retrieval Augmented Generation pipelines: http://
amzn.to/3MWnIek v/ @PacktPublishing ——
#AI #MachineLearning #DataScience #GenAI #LLMs
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Implement RAG’s traceable outputs, linking each response to its source -
Deep Reinforcement Learning Hands-On Guide: Q-Learning to RLHF
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Deep #ReinforcementLearning Hands-On — A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: http://
amzn.to/3MV9o60 [Third Edition] v/ @PacktPublishing ———
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: