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
DATA
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Machine Learning Pipelines and Microservices Architecture Demystified
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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 -
Data Cleaning and Exploration with Machine Learning Book Release
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Data Cleaning and Exploration with Machine Learning: http://
amzn.to/3SYyj9Z v/ @PacktDataML +
The book's GitHub code repository: https://
github.com/PacktPublishin
g/Data-Cleaning-and-Exploration-with-Machine-Learning
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#DataLiteracy #DataStrategy #Analytics #DataScience #MachineLearning #AI #ML #DataPrep #DataWrangling #DataScientist -
Synthetic Data Supercharges Science and Machine Learning with AI
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Synthetic Data Supercharges Science through #AI: https://
blog.seas.upenn.edu/ai-vision-rein
vented-the-power-of-synthetic-data/
โฆ See "Synthetic Data for #MachineLearning" at http://
amzn.to/42g5wmM v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Avoid common data issues by identifying and solving them using synthetic data-based solutions -
Unifying Operational and Analytical Data for Real-time Insights
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In this demo, Holly Smith shows how to unify operational and analytical data to power fast, scalable apps โ combining PostgreSQL, Delta tables, and synced Unity Catalog tables for seamless, real-time insights. See how Lakebase handles thousands of transactions per second with
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Amway Scales AI Deployment with NVIDIA Enterprise Solutions
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From infrastructure to inference, @Amway is using NVIDIA AI Enterprise to deploy AI at scale across its global business. Key results: 40% increase in inference efficiency Deployment time cut by more than half 99.9% of sensitive data blocked with NVIDIA NeMo
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Lakebase Enables Transactional Data Layer for Databricks Apps
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Building apps on Databricks just got a lot easier! ๐๏ธ Learn how Lakebase can serve as the transactional data layer for Databricks Apps.
— Databricks (@databricks) 29 aoรปt 2025
– Unified stack: Build apps on top of data in your lakehouse with Databricks Apps + Lakebase
– Secure & serverless: Native auth, governance,โฆ pic.twitter.com/qQmtkVpJfRBuilding apps on Databricks just got a lot easier! Learn how Lakebase can serve as the transactional data layer for Databricks Apps. – Unified stack: Build apps on top of data in your lakehouse with Databricks Apps + Lakebase
– Secure & serverless: Native auth, governance,