The Weekly Roundup!

Save 40% sitewide!

Just use the code Wm050426hs when you check out.

Offer ends midnight PT May 10th. Only at manning.com.

pipeline. It starts by deriving quantization mapping from first principles, and then builds your knowledge and skill through techniques for production-tested PTQ and QAT workflows and a fully-compressed deployment. You'll learn to apply post-training quantization to production models, run quantization-aware training using fake quantization and straight-through estimators, and handle subtle tradeoffs like activation outliers in LLMs, KV cache pressure, and sub-8-bit formats like NF4 and FP4. [Read more]

4 chapters of this new MEAP are available now with more to follow soon!

hilarious disaster stories, “in action” missions, and a full repo of example code, teach you how to spot design mistakes and understand architectural tradeoff decisions. Along the way, you’ll also explore author Matt Erman’s 5-step Architectural Thinking Process for reliably turning vague business requests into clear, defensible technical decisions. [Read more]

4 chapters of this new MEAP are available now, with more to follow soon!

advanced architectures such as transformers and LLMs. This book treats R as a fully capable environment for modern deep learning, showing how contemporary models and workflows can be developed end to end without compromise. [Read more]

explains the reasoning behind the architecture. You’ll build a mini lakehouse by ingesting sales and marketing data from PostgreSQL into Iceberg tables with Apache Spark and then create interactive dashboards in Apache Superset. You’ll appreciate expert Alex Merced’s real-world insights about operating an Iceberg lakehouse.  [Read more]

Vanilla Web >> Chapter 9, “Advanced web components” >> Delve into advanced APIs and patterns that make custom elements act more like native controls and be easier to integrate and ship in real projects.

Build an Advanced RAG Application (From Scratch) >> Chapter 7, “Enterprise RAG: Agentic Routing, Semantic Caching, and Query Rewriting” >> Discover three foundational pillars of the Enterprise RAG landscape as you gain an understanding of the paradigm shift from simple retrieval-and-generate workflows to multi-component systems—which offer the solution to the far more complex challenges that enterprise environments face.

Grokking Statistics >> Chapter 7, “Number go up! (or down) Correlation and linear regression”, Chapter 8, “Yes, no, or maybe so? Logistic regression and classification”, Chapter 9, “Crimes against data: Statistics done wrong”, & Chapter 10, “The statistics career survival guide” >> Take a good “first pass” at understanding correlation and linear regression, foundational (essential!) parts of even the most advanced models in statistics and machine learning. Next, turn your focus to the 

workhorse of classification models (it can predict the probability of a label/classification!), dive into how to identify and prevent common mistakes in statistics, and, finally, gain an understanding of ways that you can apply your newly earned skills and knowledge in real-world settings.

Save 40% sitewide!

Just use the code Wm050426hs when you check out.

Offer ends midnight PT May 10th. Only at manning.com.