![[Review] Artificial Intelligence Basics: A Non-Technical Introduction (Tom Taulli) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2676492/c1a-085k3-2554jnrmi7v9-93um9o.jpg)
Show Notes
Artificial Intelligence Basics: A Non-Technical Introduction (Tom Taulli)
- Amazon USA Store: https://www.amazon.com/dp/1484250273?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Artificial-Intelligence-Basics%3A-A-Non-Technical-Introduction-Tom-Taulli.html
- Apple Books: https://books.apple.com/us/audiobook/artificial-intelligence-basics-a-non-technical/id1648970699?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Artificial+Intelligence+Basics+A+Non+Technical+Introduction+Tom+Taulli+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1484250273/
#Machinelearning #Deepneuralnetworks #Naturallanguageprocessing #Roboticprocessautomation #AIimplementationethics #ArtificialIntelligenceBasics
Artificial Intelligence Basics: A Non-Technical Introduction is a 2019 introductory business and technology guide by Tom Taulli. Written for readers without programming or data science training, it explains artificial intelligence as a broad collection of techniques rather than a single product or capability. The book surveys machine learning, deep learning, natural language processing, robotics, chatbots, and robotic process automation, linking the concepts to familiar organizational uses. Its purpose is not to provide a mathematical or coding curriculum. Instead, it gives managers, professionals, and curious general readers a vocabulary for assessing where AI may create value, where it may fail, and what implementation requires. Taulli also places technical adoption in a wider context by addressing ethical risks, changing business structures, and long-term social effects. Case material involving companies such as Uber, Waymo, Facebook, UiPath, and Stitch Fix supports its practical orientation. The result is a compact primer that treats AI literacy as necessary for informed decisions, while retaining a clear focus on real applications and constraints.
- Amazon USA Store: https://www.amazon.com/dp/1484250273?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Artificial-Intelligence-Basics%3A-A-Non-Technical-Introduction-Tom-Taulli.html
- Apple Books: https://books.apple.com/us/audiobook/artificial-intelligence-basics-a-non-technical/id1648970699?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Artificial+Intelligence+Basics+A+Non+Technical+Introduction+Tom+Taulli+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1484250273/
#Machinelearning #Deepneuralnetworks #Naturallanguageprocessing #Roboticprocessautomation #AIimplementationethics #ArtificialIntelligenceBasics
Artificial Intelligence Basics: A Non-Technical Introduction is a 2019 introductory business and technology guide by Tom Taulli. Written for readers without programming or data science training, it explains artificial intelligence as a broad collection of techniques rather than a single product or capability. The book surveys machine learning, deep learning, natural language processing, robotics, chatbots, and robotic process automation, linking the concepts to familiar organizational uses. Its purpose is not to provide a mathematical or coding curriculum. Instead, it gives managers, professionals, and curious general readers a vocabulary for assessing where AI may create value, where it may fail, and what implementation requires. Taulli also places technical adoption in a wider context by addressing ethical risks, changing business structures, and long-term social effects. Case material involving companies such as Uber, Waymo, Facebook, UiPath, and Stitch Fix supports its practical orientation. The result is a compact primer that treats AI literacy as necessary for informed decisions, while retaining a clear focus on real applications and constraints.
