#MachineLearning for #TimeSeries with #Python — Forecast trends, Predict the future, Detect anomalies with state-of-the-art #ML methods: http://
amzn.to/3xf5ZdI by @benji1a ——————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #DataScientist
@kirkdborne
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Machine Learning Techniques for Time Series Forecasting and Predictive Analytics
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Confirmation Bias in Statistics: Seeing Patterns That Aren’t Real
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Confirmation Bias in #Statistics = seeing patterns in data that we want to see but they aren't really there.
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Football Analytics with Python and R: Learning Data Science Through Sports
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(American) Football #Analytics with #Python and R — Learning #DataScience Through the Lens of Sports: http://
amzn.to/46SZzNH
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#DataScientist #SportsAnalytics #AI #ML #MachineLearning #PredictiveAnalytics -
Naive Bayes Classification Explained with Python Code and Resources
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Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
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Learn more in this book: http://
amzn.to/312hAHF
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#DataScience #MachineLearning #AI #ML #Algorithms #Statistics #DataScientist #Mathematics -
Bayesian Data Analysis and Probabilistic Modeling Resources
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Bayesian Data Analysis [download 677-page PDF #Statistics eBook] at http://
sites.stat.columbia.edu/gelman/book/
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Do it in #Pythonusing this Practical Guide to Probabilistic Modeling: http://
amzn.to/3w3tq9g —————
#DataScience #DataScientist #MachineLearning #ML #Inference #StatisticalLearning -
Enhancing Generative AI Systems with RAG and Internal Data
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Unlocking Data with Generative AI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist -
Generative AI Application Integration Patterns and Tools
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Generative AI Application Integration Patterns — integrate LLMs into your applications: http://
amzn.to/3JDcqNU v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Get familiar with the most important tools and concepts used in real scenarios to design GenAI apps. Interact with GenAI -
Building Business-Ready Generative AI Systems with Agents and LLMs
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
Comprehensive Guide to Supercomputing for AI Architectures and Scaling
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Supercomputing for AI – Foundations, Architectures, and Scaling Deep Learning. [804-page masterpiece] Read it online: https://
jorditorresbcn.github.io/supercomputing
-for-ai-book/
… Buy it: https://
amzn.to/4qS4pFz GitHub repo: https://
github.com/jorditorresBCN
/supercomputing-for-ai
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LLM Engineer’s Handbook for Training and Production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on