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  The Shortest History of AI - The...

  Toby Walsh

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  Since Alan Turing first posed the question "Can machines think?" artificial intelligence has evolved from a speculative idea to a transformative force. The Shortest History of AI traces this evolution, from Ada Lovelace's visionary work to IBM's groundbreaking defeat of the chess world champion and the revolutionary emergence of ChatGPT. It also explores AI's cultural journey, touching on classics such as Frankenstein, A Hitchhiker's Guide to the Galaxy, and 2001: A Space Odyssey. 
   
  Revealing how many "overnight" successes were decades in the making, this accessible and illuminating book helps us to understand how AI functions by explaining the six key ideas that animate it: it searches for answers using predetermined symbols and means-end analysis; it bases its answers on what sort of response it thinks it will get; it follows a set of rules in order to simulate human expertise; it copies the human brain by learning from experience; it uses reinforcement learning, rewarding its own successes and punishing itself for its failures; and it uses Bayes' theorem to calculate the probability of a cause based on its effect. 
   
  Fast-paced and rich with facts, The Shortest History of AI equips listeners to understand where we've been—and where we're headed.

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  Ballistic - The New Science of...

  Henry Abbott

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  Blending cutting-edge science with gripping storytelling, award-winning data journalist and competitive amateur athlete Henry Abbott reveals that we are on the cusp of a new era in sports medicine, built around the science of ballistic movements—leaping and landing—and the unique fingerprint of your body's physics. 
   
   
   
  Abbott's inspiring narrative tells the story of sports scientist Dr. Marcus Elliott and the Peak Performance Project (P3), who use technology to study how athletes move and why they get hurt. Applying machine learning and lessons from biomechanics, medicine, and physiology, doctors at P3 can now detect elevated risk of an ACL tear or a pulled hamstring like an echocardiogram can see warning signs of a heart attack. 
   
   
   
  Through riveting stories of elite athletes overcoming injuries and pushing themselves to the limit, Abbott presents an evidence-based case for intervening early to protect our bodies. And he suggests that we can all harness the science of ballistic movement not just to run fast or jump high but to move with joy and lead fulfilling athletic lives.

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  A Rare Recording of Carl Sagan...

  Carl Sagan

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  Carl Edward Sagan (November 9, 1934 to December 20, 1996) was an American astronomer, planetary scientist and science communicator. His best known scientific contribution is his research on the possibility of extraterrestrial life, including experimental demonstration of the production of amino acids from basic chemicals by exposure to light. He published more than 600 scientific papers and articles, and was author, co-author or editor of more than 20 books, including the bestseller, The Dragons of Eden. The following recording is Sagan's 1985 testimony before the US Congress on climate change.

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  The Backwoods of Everywhere -...

  R. E. Burrillo

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  Throughout personal essays spiked with humor and natural science, archaeologist R. E. Burrillo widens his range beyond his popular Behind the Bears Ears. 
   
   
   
  After an upstate New York childhood and a bartending stint in New Orleans's French Quarter, seasonal resort work led R. E. Burrillo to the desert Southwest, whose redrock landscapes were a source of stability through mental and physical illness. In The Backwoods of Everywhere, archaeologist Burrillo excavates his past, examining Indigenous and tourist cultures, the complexities of American archaeology, and what it means to be a local. From the ancient canal systems of Phoenix, Arizona, to the modern Mayan communities of the Yucatan Peninsula, to the depths of the Grand Canyon, Burrillo brings listeners on an entertaining romp chock-full of history, ecology, cultural preservation, and personal stories. 
   
   
   
  In the vein of Bill Bryson, Tim Cahill, and Ellen Meloy, Burrillo's is a fresh voice in humor-spiked nature writing and cultural commentary. Running throughout the wide-ranging topics of The Backwoods of Everywhere are themes of place and locality, and how these vary between cultures and individuals. Marrying the intensely personal with the complex and technical, Burrillo's candid voice brings humor, wonder, irony, and wit to each thought-provoking essay.

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  The Search - The life of a...

  Paul Besley

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  Coming from a working-class background, Paul Besley knew the worst and best of life in a Yorkshire steel town. He had always been drawn to the solitude of the hills, but that life nearly ended when a fall while hillwalking left him critically injured and alone in the mountains of the Lake District. Paul was found and brought to safety by a mountain rescue team. This was the trigger for him to transform his life, first by joining his local team, then by finding Scout, his very own Border collie puppy, and training him to become a mountain rescue search dog.
  In The Search, Paul writes with humour and honesty as we follow him and Scout through their complex training, with searches and rescue incidents sometimes tragic and often funny. Paul's demons and headstrong characters threaten to derail them, until his past finally catches up with him and his life inescapably unravels. It's up to Scout to keep an eye on him now as Paul tries to build the best life he can.

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