There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This …
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and …
A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October …
This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, …
Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and …
Design and use generative AI prompts that get helpful and practical results in this concise and quick start guide.In The …
Every day, new warnings emerge about artificial intelligence rebelling against us. All the while, a more immediate dilemma flies under …
The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave …
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of …
Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of …
Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are …
REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATIONClearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, information, decision, information,” …
In recent decades digital devices have reshaped daily life, while tech companies stock prices have thrust them to the forefront …
Giving up material is one of the most difficult decisions a chess player has to take. But the reality is …
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with …
In the last fifteen years a controversial new theory of the origins of biological complexity and the nature of the …
Is it possible to design robots and other machines that can reproduce and evolve? And, if so, what are the …
Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch …
Do you need to be a genius to be good at chess? What does it take to become a Grandmaster? …
This volume is an accessible introduction to the subject of many-valued and fuzzy logic suitable for use in relevant advanced …
In this publication, the author Kristian Kersting has made an assault on one of the hardest integration problems at the …
Using espionage as a test case, The End of Intelligence criticizes claims that the recent information revolution has weakened the …
Your Quick and Simple Summary and Analysis of Thinking Fast and Slow by Daniel Kahneman Inside, you’ll find:An introduction to …
Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the …
Mastering Visual C++ 6 is a comprehensive guide to the latest version of Visual C++ and the Microsoft Foundation Classes …
How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise.It’s sometime in the not-so-distant …
How will artificial intelligence change our world within twenty years? “This inspired collaboration between a pioneering technologist and a visionary …
Solid binding and clean pages. Excellent condition. Paperbound.
An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for …
Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. …
This inquiry concerns the cultural history of the chess-player. It takes as its premise the idea that the chess-player has …
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive …
Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs. The future …
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