Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Lisp for Machine Learning: Build Intelligent Systems with Common Lisp, Clojure, and Scheme for Data Science, Neural Networks, and AI-Driven Automation

Lisp for Machine Learning: Build Intelligent Systems with Common Lisp, Clojure, and Scheme for Data Science, Neural Networks, and AI-Driven Automation

Jeffery, Darryl

Paperback

Series: Advanced LISP Architecture Series: Clos, Metaobject Protocols, DSL Design, and Machine Learning in M

General Computers

Currently unavailable to order

ISBN13: 9798270826970
Publisher: Independently Published
Published: Oct 20 2025
Pages: 150
Weight: 0.60
Height: 0.32 Width: 7.00 Depth: 10.00
Language: English
Lisp-the language that birthed AI-is making a powerful comeback, perfectly suited for the demands of Explainable AI, Meta-Learning, and self-modifying systems. Its unique design, which unifies code and data (homoiconicity) and features an unmatched macro system, allows you to sculpt algorithms rather than just assemble them. This approach fosters creativity and adaptability, bridging the gap between classical symbolic reasoning and modern neural networks.

Lisp for Machine Learning is the definitive guide for engineers and data scientists seeking to build intelligent, scalable, and transparent AI systems using Common Lisp, Clojure, and Scheme. You'll master the functional and symbolic core of Lisp to create models that not only learn from data but can also reason about and explain their decisions. The book covers everything from implementing foundational algorithms (Regression, Decision Trees) and deep learning networks from scratch, to building neuro-symbolic hybrids and deploying high-performance services on the JVM.

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