Artificial intelligence
Label
Artificial intelligence
Name
Artificial intelligence
Actions
Incoming Resources
- Nine algorithms that changed the future, the ingenious ideas that drive today's computers, John MacCormick ; with a foreword by Chris Bishop
- AIQ, how people and machines are smarter together, Nick Polson and James Scott
- Talk to me, how voice computing will transform the way we live, work, and think, James Vlahos
- Kioku no mori o sodateru, ishiki to jinkō chinō, Mogi Ken'ichirō
- The efficiency paradox, what big data can't do, Edward Tenner
- Ren gong zhi hui zui hou de mi mi, quan li, zheng zhi, ren lei de dai jia, ke ji chan ye he guo jia ji qi ru he lian shou da zao AI shen hua?, Kaite Kelaofu zhu ; Lu Yixin yi = Atlas of AI : power, politics, and the planetary costs of artificial intelligence / Kate Crawford
- Artificial intelligence, by John Paul Mueller and Luca Massaron
- The creativity code, art and innovation in the age of AI, Marcus du Sautoy
- Machine learning, the new AI, Ethem Alpaydin
- [T'ek'ŭnomiksŭ sidaeŭi puŭi chido, kisuri kyŏngjerŭl ikkŭnŭn sidaeŭi t'ujabŏp] = Technomics, Pak Sang-hyŏn, Ko T'ae-bong chiŭm
- A thousand brains, a new theory of intelligence, Jeff Hawkins ; with a foreword by Richard Dawkins
- TensorFlow, by Matthew Scarpino
- Philosophy of mind, [brains, consciousness, and thinking machines], Patrick Grim
- Genetic algorithms and machine learning for programmers, create AI models and evolve solutions, Frances Buontempo
- Marketing artificial intelligence, AI, marketing, and the future of business, Paul Roetzer with Mike Kaput
- Conoce todo sobre inteligencia artificial, ABG Technologies
- How to create a mind, the secret of human thought revealed, Ray Kurzweil
- Gödel, Escher, Bach, an eternal golden braid, Douglas R. Hofstadter
- Mŭmŭi sahoe, The society of mind, mabin minsŭk'i chiŭm ; Cho Kwang-je omgim
- In our own image, savior or destroyer? : the history and future of artificial intelligence, George Zarkadakis
- Tu jie ren gong zhi hui, cong ling kai shi liao jie ren gong zhi hui de yuan li yu ying yong, [zuo zhe Shenqi Yangzhi ; yi zhe Wu Jiafang]
- Suhak ŭi ssŭlmo, Nik P'olsŭn, Jeimsŭ Sŭk'ot chiŭm ; No T'ae-bok omgim
- Python yu LINE Bot ji qi ren chuan mian shi zhan te xun ban, Flask zui qiang ying yong = Creating LINE Bot with Python, Deng Wenyuan zong jian zhi ; Wen yuan ge gong zuo shi bian zhu
- Rebooting AI, building artificial intelligence we can trust, Gary Marcus and Ernest Davis
- Tsugi no tekunorojī de sekai wa dō kawaru noka, Yamamoto Yasumasa
- The loop, how technology is creating a world without choices and how to fight back, Jacob Ward
- Artificial intelligence, building smarter machines, by Stephanie Sammartino McPherson
- Hands-on machine learning with Scikit-Learn and TensorFlow, concepts, tools, and techniques to build intelligent systems, Aurélien Géron
- How smart machines think, Sean Gerrish ; foreward by Kevin Scott, CTO, Microsoft
- All-in on AI, how smart companies win big with artificial intelligence, Thomas H. Davenport, Nitin Mittal
- Deep medicine, how artificial intelligence can make healthcare human again, Eric Topol
- Alexa, by Paul McFedries
- Big mind, how collective intelligence can change our world, Geoff Mulgan
- Architects of intelligence, the truth about AI from the people building it, Martin Ford
- From Bricks to Brains: The Embodied Cognitive Science of Lego Robots
- AIQ, how people and machines are smarter together, Nick Polson, James Scott
- Taming text, how to find, organize, and manipulate it, Grant S. Ingersoll, Thomas S. Morton, Andrew L. Farris
- Understanding support vector machines, Aurélien Géron
- Beginning artificial intelligence with the Raspberry Pi, Donald J. Norris
- Linear regression, with Alessandra Staglianò, Angie Ma, and Gary Willis, Part 2
- Clustering and unsupervised learning, with Alessandra Staglianò, Angie Ma, and Gary Willis, Part 4
- Intelligent mobile projects with TensorFlow, build 10+ artificial intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi, Jeff Tang
- Pragmatic AI, an introduction to cloud-based machine learning, Noah Gift
- Generative adversarial networks cookbook, over 100 recipes to build generative models using Python, TensorFlow, and Keras, Josh Kalin
- Python deep learning projects, 9 projects demystifying neural network and deep learning models for building intelligent systems, Matthew Lamons, Rahul Kumar, Abhishek Nagaraja
- Big data now, 2014 edition : current perspectives from O'Reilly Media
- AI for people and business, a framework for better human experiences and business success, Alex Castrounis
- Teaching AI the Language of Your Business, Parrott, Kinga
- Sentiment analysis with LSTMs and mitigating class imbalance in TensorFlow
- Multi-Platform Graphics Programming with Kivy, Basic Analytical Programming for 2D, 3D, and Stereoscopic Design, by Mois?cywiak, David Cywiak
Outgoing Resources
- Focus1