Book picks similar to
Artificial Intelligence and Intelligent Systems by N.P. Padhy
artificial-intelligence
ai
english-books
ai-software-and-technology
Internet of Things: A Hands- on Approach
Arshdeep Bahga - 2014
It can also be used by IoT (Internet of Things) vendors and service providers for training their program developers. The authors have used an immersive 'hands on' approach, similar to the one adopted in the companion book, Cloud Computing: A Hands-on Approach, to help readers gain expertise in developing working code for real-world IoT applications.
Microprocessors and Microcontrollers
N. Senthil Kumar - 2011
It also touches upon the fundamentals of 32 bit, and 64 bit advanced processors. The book throughout provides the most popular programming tool - the assembly language codes to enhance the knowledge of programming the processors.Clear and concise in its treatment of topics, the contents of the book is supported by learning tools such as review questions, application examples (case studies) and design-based exercises.
Cambridge IELTS 5 Academic
University of Cambridge - 2006
An introduction to the different modules is included in each book, together with an explanation of the scoring system used by Cambridge ESOL. The comprehensive section of answers and tapescripts means that the material is ideal for students working partly or entirely on their own. A self-study pack (Student's Book with answers and Audio CD) is also available.
Backtrack 5 Wireless Penetration Testing Beginner's Guide
Vivek Ramachandran - 2011
Every new attack is described in the form of a lab exercise with rich illustrations of all the steps associated. You will practically implement various attacks as you go along. If you are an IT security professional or a security consultant who wants to get started with wireless testing with Backtrack, or just plain inquisitive about wireless security and hacking, then this book is for you. The book assumes that you have familiarity with Backtrack and basic wireless concepts.
I Survived Collection #2: The San Francisco Earthquake, 1906 / The Attacks of September 11, 2001 / The Battle of Gettysburg, 1863 / The Japanese Tsunami, 2011
Lauren Tarshis - 2013
Four thrilling books in the bestselling I Survived series!Includes The San Francisco Earthquake, 1906; The Attacks of September 11, 2001; The Battle of Gettysburg, 1863; and The Japanese Tsunami, 2011.
Introducing Artificial Intelligence: A Graphic Guide
Henry Brighton - 2007
But can machines really think? Is the mind just a complicated computer program? Introducing Artificial Intelligence focuses on the issues behind one of science's most difficult problems.
Cambridge IGCSE Business Studies
Karen Borrington - 2002
Endorsed by Cambridge International Examinations for the revised Cambridge IGCSE Business Studies syllabus. It has been written for the revised Cambridge IGCSE (0450) and Cambridge O Level Business Studies (7115) syllabuses, for first teaching from 2013. Reinforces understanding through a variety of activities and discussion points Provides examination preparation with revisions questions and summaries throughout Written in accessible language, but with plenty of detail for top-grade students
Mastering Vmware Vsphere 5
Scott Lowe - 2011
You'll learn how to install, configure, operate, manage, and secure the latest release.Covers all the new features and capabilities of the much-anticipated new release of VMware vSphere Discusses the planning, installation, operation, and management for the latest release Reviews migration to the latest vSphere software Offers hands-on instruction and clear explanations with real-world examples Mastering VMware vSphere is the strategic guide you need to maximize the opportunities of virtualization.
Prediction Machines: The Simple Economics of Artificial Intelligence
Ajay Agrawal - 2018
But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear:
Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions.
Prediction tools increase productivity--operating machines, handling documents, communicating with customers.
Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete.
Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.