Mastering spaCy โ Build structured NLP solutions with custom components & models powered by spacy-llm: http://
amzn.to/3QpPfXi v/ @PacktDataML [2nd edition] ๐ฆ๐ฑ๐ช๐ฝ ๐๐ธ๐พ ๐๐ฒ๐ต๐ต ๐ต๐ฎ๐ช๐ป๐ท:
Apply transformer models and fine-tune them for specialized NLP tasks
Master
@kirkdborne
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Mastering spaCy: Build Advanced NLP Solutions with Custom Components
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Data Engineering Best Practices for Cloud Architecture and Cost Optimization
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#DataEngineering Best Practices โ Architect robust and cost-effective data solutions in the cloud era: http://
amzn.to/3BkZ6df v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ: Architect and engineer optimized data solutions in the cloud with best practices for performance and -
New Book: Building AI Agents with LLMs, RAG, Knowledge Graphs
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New book from @PacktDataML >> "Building AI Agents with LLMs, RAG, and Knowledge Graphs โ A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h -
New LLM Design Patterns Book Guide for 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 -
Building Neo4j-Powered Applications with LLMs New Book Release
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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 -
Machine Learning Pipelines and Microservices Architecture Demystified
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Data in, intelligence out: https://
infoworld.com/article/225288
9/data-in-intelligence-out-machine-learning-pipelines-demystified.html
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Machine Learning in Microservices โ Productionizing microservices architecture for #MachineLearning solutions: http://
amzn.to/4iIptKB v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Design, build, and run microservices systems -
Bayesian Data Analysis: Free PDF and Python Practical Guide
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Bayesian Data Analysis [667-page PDF #statistics eBook]: https://
sites.stat.columbia.edu/gelman/book/
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Do it in #Pythonusing this Practical Guide to Probabilistic Modeling: http://
amzn.to/3w3tq9g v/ @PacktDataML โโโโ
#DataScience #DataScientist #MachineLearning #Inference #StatisticalLearning -
Handling Imbalanced Data: ML and DL Techniques
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Tutorials on Imbalanced Data: https://
analyticsvidhya.com/blog/2021/06/5
-techniques-to-handle-imbalanced-data-for-a-classification-problem/
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#MachineLearning & #DeepLearning Techniques for Handling Imbalanced Data: http://
amzn.to/3Wuch3C v/ @PacktDataML โ
Explore the metrics used when classes are imbalanced.
Use imbalanced data in your machine learning -
Streamlit: Transform Data Scripts into Interactive Web Apps
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Streamlit turns your data scripts into shareable web apps in minutes: https://
streamlit.io
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"Streamlit for #DataScience" = Step-by-step guide to building interactive data apps in #Python โ http://
amzn.to/45bY8IZ v/ @PacktDataML โโโ
#DataScientist #AI #ML #DataViz #Analytics -
Python Data Cleaning Code Snippets and PANDAS Cookbook for Analysis
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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 โ PANDAS, NumPy, Matplotlib, scikit-learn, etc.: http://
amzn.to/4c6DAWf v/ @PacktDataML โ
#DataScience #AI #ML #DataScientist