Machine Intelligence
| Author | : Jean Elizabeth Hayes |
| Publisher | : |
| Total Pages | : 342 |
| Release | : 1991 |
| Genre | : Artificial intelligence |
| ISBN | : |
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Machine Intelligence 10 PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Machine Intelligence 10 PDF full book. Access full book title Machine Intelligence 10.
Artificial Intelligence in Practice
| Author | : Bernard Marr |
| Publisher | : John Wiley & Sons |
| Total Pages | : 232 |
| Release | : 2019-04-15 |
| Genre | : Business & Economics |
| ISBN | : 1119548985 |
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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Machine Learning with Python
| Author | : Abhishek Vijayvargia |
| Publisher | : BPB Publications |
| Total Pages | : 268 |
| Release | : 2018-03-01 |
| Genre | : Computers |
| ISBN | : 9789386551931 |
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Providing code examples in python, this book introduces the concepts of machine learning with mathematical explanations and programming fundamentals. --
A Human's Guide to Machine Intelligence
| Author | : Kartik Hosanagar |
| Publisher | : Penguin |
| Total Pages | : 274 |
| Release | : 2020-03-10 |
| Genre | : Business & Economics |
| ISBN | : 0525560904 |
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A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
Super-Intelligent Machines
| Author | : Bill Hibbard |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 221 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461507596 |
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Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage.
Introduction to Machine Learning
| Author | : Ethem Alpaydin |
| Publisher | : MIT Press |
| Total Pages | : 639 |
| Release | : 2014-08-22 |
| Genre | : Computers |
| ISBN | : 0262028182 |
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Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
Machine Intelligence 10
| Author | : Jean Elizabeth Hayes |
| Publisher | : |
| Total Pages | : 576 |
| Release | : 1982 |
| Genre | : |
| ISBN | : |
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Human-Like Machine Intelligence
| Author | : Stephen Muggleton |
| Publisher | : Oxford University Press |
| Total Pages | : 533 |
| Release | : 2021 |
| Genre | : Computers |
| ISBN | : 0198862539 |
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This book, authored by an array of internationally recognised researchers, is of direct relevance to all those involved in Academia and Industry wanting to obtain insights into the topics at the forefront of the revolution in Artificial Intelligence and Cognitive Science.
Interpretable Machine Learning
| Author | : Christoph Molnar |
| Publisher | : Lulu.com |
| Total Pages | : 320 |
| Release | : 2020 |
| Genre | : Artificial intelligence |
| ISBN | : 0244768528 |
Download Interpretable Machine Learning Book in PDF, ePub and Kindle
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Pattern Recognition and Machine Intelligence
| Author | : Pradipta Maji |
| Publisher | : Springer |
| Total Pages | : 784 |
| Release | : 2013-12-09 |
| Genre | : Computers |
| ISBN | : 3642450628 |
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This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013, held in Kolkata, India in December 2013. The 101 revised papers presented together with 9 invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on pattern recognition; machine learning; image processing; speech and video processing; medical imaging; document image processing; soft computing; bioinformatics and computational biology; and social media mining.
