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This resource provides a useful introduction to outlier detection in Python.

"Outlier Detection in Python — https://t.co/vWtHhru2DW from @ManningBooks"

The book covers mastering XGBoost, applying deep learning to tabular data, deploying models locally and in the cloud, and building pipelines to train and maintain models.

"• Master XGBoost • Apply deep learning to tabular data • Deploy models locally and in the cloud • Build pipelines to train and maintain models"

The text covers temporal data streams from financial, business, medical, credit, sensor network (IoT/IIoT), spatiotemporal, and network domains.

"including financial, business, medical, credit, sensor network (IoT / IIoT) time series data streams, plus spatiotemporal data, network data, etc."

A book titled 'Machine Learning for Data Streams' provides practical examples in Massive Online Analysis as part of the MIT Press Adaptive Computation and Machine Learning series.

"Machine Learning for Data Streams, with Practical Examples in Massive Online Analysis (a volume in the MIT Press Adaptive Computation and Machine Learning series): https://t.co/2W9LnSkco6 https://t.co/1qJ9eDCRdV"

The goal of general intelligence is to adapt to anything, not to be prepared for everything.

"The point is not to be prepared for everything, but to adapt to anything."

OpenAI is releasing a new major model called Astra that solved 10 long-standing problems in maths and theoretical computer science

"In the meantime, OpenAI also teased their new major model - Astra. They released solutions for 10 long-standing problems in maths and theoretical computer science, all found by Astra."

Frontier AI companies are now moving away from pure neural networks and incorporating symbolic approaches like code interpreters

GPT-5 has been released

AfterLab is building a different approach to efficient fluid intelligence

The OpenAI team is doing amazing work and users will be very happy with what they have cooking

A 100B parameter Gemma 4 model exists or is in development at Google