Be a #DataScience superhero with one (or both) of these HUGE comprehensive #Coding books:
1) R: http://
amzn.to/2SqA2Wi (832 pages)
2) #Python: http://
amzn.to/3X7131Z (552 pages)
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#Rstats #Statistics #Analytics #AI #ML #MachineLearning #DataLiteracy #DataScientist
@kirkdborne
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Comprehensive Data Science Coding Books for R and Python
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ML Model-Serving Patterns and Best Practices for Production Deployment
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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 via @PacktDataML ——
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -

Machine Learning in Microservices: Design, Build, Run ML Systems
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Machine Learning in Microservices — Productionizing microservices architecture for #MachineLearning solutions: http://
amzn.to/4iIptKB via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Design, build, and run microservices systems that utilize the full potential of machine learning -

Streamlit for Data Science: Interactive Python Data Apps Guide
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"Streamlit for #DataScience" (Second Edition) = Step-by-step guide to building interactive data apps in #Python — http://
amzn.to/45bY8IZ by @tylerjrichards @streamlit via @PacktDataML —————
#Coding #DataScientists #MachineLearning #AI #DataViz #BigData #Analytics -

Graph Data Modeling with Python: A Practical Guide for Data Science
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Graph Data Modeling with #Python — A practical guide to curating, analyzing, and modeling data with graphs: http://
amzn.to/3PYxCPF via @PacktDataML ——
#DataScience #GraphDB #LinkedData #AI #MachineLearning #DataScientist
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𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈: Transform relational data -

LLM Design Patterns: New Guide for Building Robust AI Systems
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New book from @PacktDataML >> LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems See it at http://
amzn.to/4nODl9a -

New AI for IoT Book Release: Machine Learning and Deep Learning Techniques
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as -

Building Neo4j-Powered Applications with LLMs and AI Frameworks
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New book from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO -

Modern Time Series Forecasting with Python and Deep Learning
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Modern #TimeSeries #Forecasting with #Python — Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
amzn.to/4eP5yYt via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Apply ML and global models to improve forecasting accuracy through -

PANDAS Cookbook: Practical Recipes for Data Science and ML
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PANDAS Cookbook — Practical recipes for scientific computing, time series and exploratory data analysis using #Python: http://
amzn.to/3Y0XRY5 v/ @PacktDataML [3rd ed.]
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#DataScience #ComputationalScience #Analytics #MachineLearning #DataScientist
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What you will learn: The