Bayesian #MachineLearning — Probabilistic Learning See the book "Bayesian Methods for Hackers": http://
amzn.to/2Ni4xOz —————
#DataScience #ML #AI #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms
DATA
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Bayesian Machine Learning and Probabilistic Learning Methods for Data Science
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SQL Cookbooks and Resources for Data Scientists and Analysts
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SQL Cookbook — Query Solutions & Techniques for All #SQL Users (2nd Edition): http://
amzn.to/3rKVITJ
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SQL for #DataScientists: http://
amzn.to/3DtSzu6
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#Analytics #DataScience #Databases #BigData #BI #DataAnalytics #DataAnalysis #DataAnalyst #CDO -
Introduction to Reinforcement Learning Algorithms and Foundational Resources
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Introduction to various #ReinforcementLearning #Algorithms: http://
bit.ly/2UPHbSj
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#DataScience #AI #MachineLearning #ML #DeepLearning #DataMining #Mathematics #Gamification
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See this foundational book (2nd edition): http://
amzn.to/3UtbeAa -
Machine Learning for Time Series Forecasting and Anomaly Detection
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#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 -
Streamlit: Transform Data Scripts into Interactive Web Apps Quickly
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Streamlit turns your data scripts into shareable web apps in minutes: http://
streamlit.io
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"Streamlit for #DataScience" = Step-by-step guide to building interactive data apps in #Python — http://
amzn.to/45bY8IZ v/ @PacktDataML ———
#DataScientist #AI #ML #DataViz #Analytics -
Handling Imbalanced Data in Machine Learning and Deep Learning
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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 —
Explore the metrics used when classes are imbalanced.
Use imbalanced data in your machine learning -
Machine Learning Pipelines and Microservices Architecture for Production
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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 — Productionizing microservices architecture for #MachineLearning solutions: http://
amzn.to/4iIptKB v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Design, build, and run microservices systems -
Building AI Agents with LLMs RAG and Knowledge Graphs
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
Python Tools for Scientists: Anaconda, JupyterLab, Scientific Libraries
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#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries →→ Get it at http://
amzn.to/3WrBmZf [744-page book from @NoStarch Press]
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#Coding #DataScience #DataScientist #ComputationalScience #MachineLearning #AI -
Data Engineering with Google Cloud Platform: Scalable Data Platform Guide
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#DataEngineering with Google Cloud Platform #GCP — A Guide to leveling up as a #DataEngineer by building a scalable data platform with Google Cloud: http://
amzn.to/4ecMUtM [2nd Edition] v/ @PacktDataML —————
#DataAnalytics #Analytics #CDO #CTO #AI #ML #MLOps #DataScience