Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML โ
GitHub: http://
github.com/cosmic-cortex/
โ
Here is my review: ๐ง๐ต๐ฒ ๐ฆ๐ฒ๐ ๐ข๐ณ ๐ ๐ฎ๐๐ต๐ฒ๐บ๐ฎ๐๐ถ๐ฐ๐ฎ๐น ๐๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ๐ ๐ง๐ต๐ฎ๐ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฟ๐ผ๐บ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ This
AI
-
Mathematics of Machine Learning book review and GitHub link
By
–
-
Fugu Ultra matches Fable and Mythos, copy misleading
By
–
I gathered but their copy was misleading Our โFugu Ultraโ model matches the performance of Fable and Mythosโฆ
-
CTO/CIO building AI stack for reliable, secure, scalable data-to-compute
By
–
What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale?
— Helen Yu (@YuHelenYu) 22 juin 2026
Thatโs the strategic question behind my conversation with Kunal Anand, CPO at #F5.
As AI moves into production, the real differentiator wonโt just be the modelโฆ pic.twitter.com/YtEQNWnh3JWhat does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? Thatโs the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator wonโt just be the model
-
Canaries Dashboard Explores AI Employment Impacts by Work Experience
By
–
Building on a 2025 study of emergent labor market impacts of AI, the Stanford @DigEconLab has launched the Canaries Dashboard in collaboration with @AdpResearch to explore how recent employment changes vary with work experience and exposure to AI.
-
Machine Learning Model-Serving Patterns and Best Practices
By
–
Machine Learning Model-Serving Patterns & Best Practices โ Definitive guide to deploying, monitoring, & providing accessibility to ML models in production: http://
amzn.to/3vNwKoT via @PacktDataML โโ
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -
Increasing abstraction: agents, fleets, then self-prompting
By
–
The level of abstraction keeps pulling up. First we prompted agents, then we prompted fleets of agents, now agents are prompting themselves.
— Lenny Rachitsky (@lennysan) 22 juin 2026
Full conversation with Claude Code/Cowork lead @Nerdi_Yogi here: https://t.co/tkfX4ouJcn https://t.co/VJAX5BZumx pic.twitter.com/KM59D9x4ZxThe level of abstraction keeps rising. First, we prompted agents, then fleets of agents, and now agents prompt themselves. Full conversation with Claude Code/Cowork lead @Nerdi_Yogi here:
https://youtu.be/Ybrl4FYM57c?si=eQA146Pj8K1NiK9D
โฆ -
Data-Centric Machine Learning with Python book announced with author’s foreword
By
–
Data-Centric Machine Learning with Python: The ultimate guide to engineering & deploying high-quality models based on good data http://
amzn.to/3UC1R0Q (with Foreword by me) โโโ
#DataScience #DataEngineering #DataEngineer #AI #ML #DataScientist -
Applied Causal Inference eBook with Machine Learning and AI
By
–
[Download 496-page PDF eBook] Applied Causal Inference Powered by Machine Learning and AI: http://
arxiv.org/abs/2403.02467
โโโโ
#ML #DataScience #Algorithms #Statistics -
Download 674-page PDF: Introduction to Machine Learning textbook
By
–
Download 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): http://
arxiv.org/abs/2409.02668
โโโโ
#ML #AI #Mathematics #DataScience -
Physics-based Deep Learning eBook PDF announcement
By
–
[461-page PDF eBook] Physics-based Deep Learning: http://
arxiv.org/abs/2109.05237
+
Learn more at: http://
physicsbaseddeeplearning.org/intro.html โโโโโโ
#AI #MachineLearning #ML #DataScience #NeuralNetworks #Algorithms #Mathematics #DataScientist