Another book on SLMs — Small Language Models…
@kirkdborne
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Forecasting reference compares statistical machine learning and deep learning methods
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The above referenced book is the textbook. Here is the encyclopedia => "Mastering Modern Time Series Forecasting: A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python" Complete encyclopedic reference goes in-depth on every method, extensive
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Guide compares nine distance metrics used in machine learning
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9 Distance Metrics used in Data Science and Machine Learning (advantages & pitfalls): https://
maartengrootendorst.com/blog/distances/
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#ML #Statistics #Mathematics #DataScientist #Algorithms
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See 730+ page book "Encyclopedia of Distances" (3rd edition): https://
amzn.to/3skDOWm -
Report attributes LLM serving efficiency gains to DeepSeek DSpark
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In today's news… @deepseek_ai claims new technique boosts LLM serving efficiency by up to 85%. DSpark module improves output speed making more efficient use of GPU resources. https://
pandaily.com/deepseek-dspar
k-generation-speed-post-funding-jun2026
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Book covers architectural patterns for enterprise multiagent systems
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574 information-packed pages from @PacktDataML at http://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems — Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" 𝓟𝓻𝓪𝓬𝓽𝓲𝓬𝓪𝓵 -
Transfer learning book explains adapting models and data to new tasks
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TRANSFER LEARNING book [390 pages]: https://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Python AI guide covers supervised and unsupervised learning
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AI Programming with Python — From Zero to Hero: http://
amzn.to/43TkNea Thorough introductions to AI, Machine Learning, and Deep Learning Hands-on introductions to Python Discussions of supervised and unsupervised learning Explorations of classification and regression -
DeepSeek guide covers fine tuning distillation and agent design
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"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" at http://
amzn.to/4imbryH v/ @PacktDataML Discover DeepSeek's unique traits in the LLM landscape
Compare DeepSeek's multimodal features with leading -
Guide covers shipping and scaling production machine learning systems
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Shipping Machine Learning Systems — Practical Guide to Building, Deploying, and Scaling in Production: http://
amzn.to/4snEtlS Bridges the gap from Theoretical to Practical Machine Learning, while avoiding the Theatrical. -
Practical guide explains reinforcement learning from human feedback for AI alignment
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New release from @PacktDataML at http://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning