Honeycomb Publications · A father and son education series
Know the MachineSeries
A fifteen-year-old and his father, writing it together
In Book One a person chooses the features.
In Book Two the machine chooses its own. That is the whole distance between them. Machine learning, then deep learning · reinforcement learning to follow
In Book Two the machine chooses its own. That is the whole distance between them. Machine learning, then deep learning · reinforcement learning to follow
Book One · out now
The Mathematics Behind Machine Learning
What if a machine could tell you a story?
Arithmetic, start to finish. A straight line through a scatter of house prices, a slope followed downhill, one probability multiplied by another. By the last chapter, eigenvectors, maximum likelihood, and a proof that the two costs the whole field runs on are one principle under two assumptions.
21 chapters · 384 pages · 59 infographics
Paperback ISBN 978-1-911866-04-6
Paperback ISBN 978-1-911866-04-6
Book Two · 30 September 2026
Deep Learning
I Am Not a Brain
The machine narrates this one itself, dry and unsentimental, and never once claims an inner life. Thirty chapters in nine parts on how a network is corrected, what it forgets, why it stopped remembering and started looking, and what it actually was that somebody asked for.
30 chapters, 9 parts · 388 pages · 43 infographics
Paperback ISBN 978-1-911866-05-3
Paperback ISBN 978-1-911866-05-3
Book Three, on reinforcement learning, is in writing.
Both published books are 7 × 10 in, black and white throughout, perfect bound. Every formula is derived before it is used, and nothing is asserted that has not been worked out first.
Both published books are 7 × 10 in, black and white throughout, perfect bound. Every formula is derived before it is used, and nothing is asserted that has not been worked out first.