No Starch Press
nostarch.com › how-ai-works
How AI Works | No Starch Press
April 21, 2026 - Demystifies the explosion of artificial intelligence by explaining what AI really does "under the hood".
Penguin Random House Retail
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BROAD AUDIENCE For anyone interested in what artificial intelligence is and
How AI Works · From Sorcery to Science · Available from No Starch Press: OCTOBER 2023 · 9781718503724 · $29.99 | 192 pages | PB | 7 x 9-1/4 · Computers & Artificial Intelligence · Artificial intelligence is · everywhere—from self-driving · cars, to image generation ·
Machine Learning Bookshelf by No Starch Press (pay what you want and help charity)
Top tier is somewhat pricier than usual, but there are also 6 newly offered books in this bundle, which is pretty nice: Deep Learning: A Visual Approach (only top tier book and recently published, the rest are available in the somewhat cheaper next-level) Dive into Algorithms Practical Deep Learning Algorithmic Thinking How Computers Really Work Learn Python Visually This appeared in a previous No Starch bundle (ISTR maybe the most recent Python one?), but I'm mentioning the repeat since it was misfiled as an O'Reilly book during my HB library search: Natural Language Processing with Python and spaCy More on reddit.com
CAUTION: Be Weary of "A Complete Guide to ChatGPT and AI" Bundle
General rule of thumb, almost everyone making money off of AI is a grifter More on reddit.com
Book bundle: Computer Science the fun way by No Starch Press
To me it seems slightly more boring than No Starch bundles from last year, especialy because flagship books in 36 USD tier are not rated very well. But after looking to written reviews, there is no much bad comments. To me it seems that rating is skew down (when there are few reviews, even single negative skew down overal score a lot) by complaints about print quality and unability to copy paste from Kindle edition. I guess rating will converge to better numbers over time. Only reasonable (negative) reviews for 36 USD books (I did not check other half of the books this time) says that "Writing a C Compiler" is bundle of blog post collected to book and "Effective C" is very detailed and not good for beginers (to be honest, after reading book title, I would expect that and I consider it pro, not cons) otherwise I did not find any negative written review. Additionaly, tier pricing seems fair to me. For 1 USD you get two very old books from 2006, For 10 USD you get two additional pretty good books about SW and HW architecture. For 18 USD you get bunch of other books released around 2020 (so slighly outdated, but nice books) and finally, for 36 USD you get some of their latest flagship books. Here are some data: ISBN13 PGS YEAR CNT STARS NAME 978-1718503281 256 2024 14 ★★★☆☆ The Complete Developer 978-1718502604 304 2022 28 ★★★★☆ Data Structures the Fun Way 978-1718502864 560 2024 7 ****° Computer Architecture 978-1718500426 704 2024 22 ★★★★☆ Writing a C Compiler 978-1718500099 502 2022 8 ****° Introduction to Computer Organization 978-1718501362 875 2022 17 ★★★★★ Dive Into Systems 978-1718504127 304 2024 7 ****° Effective C, 2nd Edition 978-1718503861 264 2024 3 ***** Graph Algorithms the Fun Way 978-1593279523 480 2019 1879 ★★★★★ The Linux Command Line, 2nd Edition 978-1718500761 180 2021 63 ★★★★☆ Computer Graphics from Scratch 978-1718500365 470 2020 58 ★★★★★ Understanding the Machine 978-1593279707 500 2019 133 ★★★★★ The Secret Life of Programs 978-1718500785 550 2021 8 ****° Hardcore Programming for Mechanical Engineers 978-1718502468 448 2022 10 ***** The Book of I2C 978-1593276669 216 2015 45 ★★★★☆ How Software Works 978-1718500662 380 2020 226 ★★★★★ How Computers Really Work 978-1593276683 320 2006 99 ★★★★☆ Inside the Machine 978-1593271190 610 2006 18 ★★★★☆ Code Craft NOTE: Star rating in the listing above follows my own rules: For books withg less than 10 ratings different characters (* and °) are used 5 star book is book with average rating between 4.7 (incl) and 5.0 (incl) 4 star book is book with average rating between 3.7 (incl) and 4.7 (excl) 3 star book is book with average rating between 2.7 (incl) and 3.7 (excl) 2 star book is book with average rating between 1.7 (incl) and 2.7 (excl) 1 star book is book with average rating between 1.0 (incl) and 1.7 (excl) More on reddit.com
Humble Tech Book Bundle: Machine Learning and AI by No Starch (pay what you want and help charity)
129K subscribers in the humblebundles community. The unofficial subreddit about the game, book, app, and software bundle site… More on reddit.com
DOKUMEN.PUB
dokumen.pub › how-ai-works-from-sorcery-to-science-1nbsped-1718503725-9781718503724-9781718503731-j-2520226.html
How AI Works: From Sorcery to Science [1 ed.] 1718503725, 9781718503724, 9781718503731 - DOKUMEN.PUB
Personally, and admittedly with bias, I recommend my books Practical Deep Learning: A Python-Based Introduction (2021) and Math for Deep Learning: What You Need to Know to Understand Neural Networks (2021), both available from No Starch Press. They will give you what you need to go from reading about how AI works conceptually to “doing” AI.
Amazon
amazon.com › How-AI-Works-Sorcery-Science-ebook › dp › B0CDB7WHJD
Amazon.com: How AI Works: From Sorcery to Science eBook : Kneusel, Ronald T.: Kindle Store
Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide. "Succinct and clear-cut . . . a beacon for those wanting to delve into the mesmerizing world of AI, offering a detailed yet comprehensible overview of the evolutionary ...
Ebookk
ebookk.ir › wp-content › uploads › 2024 › 12 › How-AI-Works_p01-20.pdf pdf
How AI Works
By the end of the book, you’ll understand what AI is ... Networks (2021), both available from No Starch Press.
No Starch Press
nostarch.com › machine-learning-q-and-ai
Machine Learning Q and AI | No Starch Press
April 13, 2026 - You’ll also explore how to: • Manage the various sources of randomness in neural network training • Differentiate between encoder and decoder architectures in large language models • Reduce overfitting through data and model modifications • Construct confidence intervals for classifiers and optimize models with limited labeled data • Choose between different multi-GPU training paradigms and different types of generative AI models • Understand performance metrics for natural language processing • Make sense of the inductive biases in vision transformers
No Starch Press
nostarch.com › art-machine-learning
The Art of Machine Learning | No Starch Press
April 13, 2026 - You’ll become skilled in a range of machine learning methods, starting with the simple k-Nearest Neighbors method (k-NN), then on to random forests, gradient boosting, linear/logistic models, support vector machines, the LASSO, and neural networks. Final chapters introduce text and image classification, as well as time series. You’ll learn not only how to use machine learning methods, but also why these methods work, providing the strong foundational background you’ll need in practice.
Nostarch
staging.nostarch.com › machine-learning-and-ai-beyond-basics
Machine Learning and AI Beyond the Basics | No Starch Press
January 8, 2024 - Introduction PART I: NEURAL NETWORKS AND DEEP LEARNING Chapter 1: Embeddings, Representations, and Latent Space Chapter 2: Self-Supervised Learning Chapter 3: Few-Shot Learning Chapter 4: The Lottery Ticket Hypothesis Chapter 5: Reducing Overfitting with Data Chapter 6: Reducing Overfitting with Model Modifications Chapter 7: Multi-GPU Training Paradigms Chapter 8: The Keys to the Success of Transformers Chapter 9: Generative AI Models Chapter 10: Sources of Randomness PART II: COMPUTER VISION Chapter 11: Calculating the Number of Parameters Chapter 12: The Equivalence of Fully Connected and C
No Starch Press
nostarch.com › embedded-ai
Embedded AI | No Starch Press
February 24, 2026 - PART III: PROJECTS AND APPLICATIONS Chapter 9: Sensor Machine Learning Chapter 10: Real-Time Audio Noise Suppression Chapter 11: Build an AI MIDI Synthesizer Chapter 12: Build a Hot Word Detection Chapter 13: Build an Arduino Battery Monitor and Logging Shield Chapter 14: Where Do We Go Next · The chapters in red are included in this Early Access PDF.
Nostarch
nostarch.com › download › HowAIWorks_Chapter2.pdf pdf
2 WHY N OW? A H ISTO RY OF A I Rowan Atkinson’s comic masterpiece Mr.
August 11, 2023 - How AI Works (Sample Chapter) © 8/11/23 by Ronald T. Kneusel · wise, the output is the input value. Not only are ReLU activation functions
No Starch Press
nostarch.com › developers-guide-to-ai
The Developer's Guide to AI | No Starch Press
May 4, 2026 - Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.
Scribd
scribd.com › document › 1010943541 › How-AI-Works-From-Sorcery-to-Science-1st-Edition-Kneusel-Ronald-T-eBook-clarity-boosted-pdf
How AI Works - From Sorcery To Science 1st Edition Kneusel Ronald T. Ebook Clarity-Boosted PDF | PDF | Zinc Oxide | Nanowire
March 15, 2026 - The book 'How AI Works - From Sorcery to Science' by Ronald T. Kneusel provides an accessible overview of artificial intelligence, detailing its evolution and the fundamental algorithms behind it, such as machine learning and neural networks.
103.203.175.90
103.203.175.90:81 › fdScript › RootOfEBooks › E Book collection - 2024 - B › CSE IT AIDS ML › How AI Works (2023).pdf
How AI Works: From Sorcery to Science (for True Epub)
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i-Programmer
i-programmer.info › book-watch-archive › 16833-how-ai-works-no-starch-press.html
How AI Works (No Starch Press)
December 15, 2023 - Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more.
LinkedIn
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6 Best Machine Learning & AI Books of All Time (March ...
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No Starch Press
nostarch.com › catalog › ai-machine-learning
AI & Machine Learning | No Starch Press
Demystifies the explosion of artificial intelligence by explaining what AI really does "under the hood".
No Starch Press
nostarch.com
No Starch Press | "The finest in geek entertainment"
AI can write the code.
O'Reilly
oreilly.com › library › view › how-ai-works › 9781098168568
How AI Works [Book]
October 24, 2023 - •The relationship between artificial intelligence, machine learning, and deep learning •The history behind AI and why the artificial intelligence revolution is happening now •How decades of work in symbolic AI failed and opened the door for the emergence of neural networks •What neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number.
Author Ronald T. Kneusel
Published 2023
Pages 192