Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills...

In Brain Rules, Dr. John Medina, a molecular biologist, shares his lifelong interest in how the brain sciences might influence the way we teach our children and the way we work. In each chapter, he describes a brain rule--what scientists know for sure about how our brains work--and then offers transformative ideas for our daily lives.--From www.brainrulesbook.com .

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you...

McBride's short stories joyfully abound with indelible characters whose personal philosophies are far wiser than their circumstances allow, including the teenage members of the inner-city Five Carat Soul Bottom Bone Band--Buck Boy, Ray-Ray, Blub, and Goat. Then there's the lion, jaguar, and whale in "Mr. P & the Wind.? A fierce loyalty forged on an Italian battlefield during WWII unites Carlos, Lillian, and the Judge in a Harlem ballroom in "The Christmas...

Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate, but can also make their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, model validation efforts, and regulatory oversight. In the updated edition of this ebook, Patrick Hall and...

In the tradition of The Power of Habit and Thinking, Fast and Slow comes a practical, playful, and endlessly fascinating guide to what we really know about learning and memory today—and how we can apply it to our own lives.
From an early age, it is drilled into our heads: Restlessness, distraction, and ignorance are the enemies of success. We’re told that learning is all self-discipline, that we must confine ourselves...

Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems.

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book Description...