
Machine Learning and Big Data-enabled Biotechnology
Hal S. Alper
Published 2026
432 pages
Books on artificial intelligence explain machines that learn and reason. How the technology works, what it can and cannot do, and what it means for jobs, creativity and society are all explored. You will find clear introductions for general readers and technical texts for people building these systems. This list shows the ones first published in 2026.

Hal S. Alper
Published 2026
432 pages

Tho Le-Ngoc, MohammadMahdi Ghadaksaz, Mobeen Mahmood
Published 2026
167 pages

Andreas François Vermeulen
Published 2026
480 pages

Elakkiya Rajasekar
Published 2026
350 pages

Nitin Borwankar
Published 2026
250 pages

Hao Jiang, Wai-Ki Ching
Published 2026
215 pages

Niklas Lidströmer
Published 2026
250 pages

Adnan Badran, Elias Baydoun, Sandra Hillman, Joelle Mesmar
Published 2026
477 pages

Valerie Tiberius
Published 2026
200 pages

Igor Pogany
Published 2026
192 pages

Rajesh Kumar Dhanaraj, Malathy Sathyamoorthy, A Paramasivam, Amol Dattatraya Vibhute
Published 2026
352 pages

Naomi S. Baron
Published 2026
224 pages

Nishu Gupta, Sumita Mishra, Polat Goktas
Published 2026
400 pages

Biswajeet Pradhan, Subhas Mukhopadhyay, Shilpa Bade-Gite
Published 2026
594 pages

Sandeep Kautish, Valentina Emilia Balas, Sapna Juneja, Dana Rad, Shelly Gupta
Published 2026
350 pages

Siraj Raval
Published 2026
256 pages

Siddhesh Prashant Chaubal
Published 2026
250 pages

S. Balamurugan, T. Ananth Kumar, T. S. Arun Samuel, L. Jerart Julus, P. Kanimozhi
Published 2026
400 pages

Paul Lee, Mark Esposito, Danny Goh, Terence C. M. Tse
Published 2026
208 pages

Patrick Bangert
Published 2026
296 pages

Matt Kesby
Published 2026
304 pages

Pam Baker
Published 2026
384 pages

Eric Butow, Kelly Noble Mirabella
Published 2026
352 pages

Onur Bakiner
Published 2026
260 pages