Every year graduating engineers are told that they are destined for success. But what are the habits and behaviours that actually lead to success? In What I did not learn at IIT, Rajeev Agarwal, founder and CEO of MAQ Software, has distilled decades of life experience into one accessible and informative guide. In simple language, he explains the success techniques he applied and what worked for him. Encouraging graduates to look at their careers over a forty-year span, Rajeev explains that successful people choose to be passionate about every job they have. Using a skillful combination of personal stories and checklists, What I did not learn at IIT provides students-young and old-with a roadmap for success.

Every year, top performers join management ranks in their companies. As they assume their new roles, managers often receive inadequate training on adopting the right mindsets and behaviors to succeed. Combining his experience as the founder and CEO of MAQ Software, with research by leading management thinkers such as Peter Drucker and Henry Mintzberg, Rajeev Agarwal offers insights on key issues faced by managers, including motivating team members, what a manager does and why they are so busy, how to delegate, train a team, provide feedback, retain employees and whether pay matters Whether you are a recent MBA graduate or an aspiring manager, What I Did Not Learn in B-School provides useful tools to set you on the path to managerial success.

The first survey of the classic twentieth-century houses that defined American Midwestern modernism. Famed as the birthplace of that icon of twentieth-century architecture, the skyscraper, Chicago also cultivated a more humble but no less consequential form of modernism--the private residence. Modern in the Middle: Chicago Houses 1929-75 explores the substantial yet overlooked role that Chicago and its suburbs played in the development of the modern single-family house in the twentieth century. In a city often associated with the outsize reputations of Frank Lloyd Wright and Ludwig Mies van der Rohe, the examples discussed in this generously illustrated book expand and enrich the story of the region's built environment. Authors Susan Benjamin and Michelangelo Sabatino survey dozens of influential houses by architects whose contributions are ripe for reappraisal, such as Paul Schweikher, Harry Weese, Keck & Keck, and William Pereira. From the bold, early example of the "Battledeck House" by Henry Dubin (1930) to John Vinci and Lawrence Kenny's gem the Freeark House (1975), the generation-spanning residences discussed here reveal how these architects contended with climate and natural setting while negotiating the dominant influences of Wright and Mies. They also reveal how residential clients--typically middle-class professionals, progressive in their thinking--helped to trailblaze modern architecture in America. Though reflecting different approaches to site, space, structure, and materials, the examples in Modern in the Middle reveal an abundance of astonishing houses that have never been collected into one study--until now.

THE TEACHING APTITUDE MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE TEACHING APTITUDE MCQ TO EXPAND YOUR TEACHING APTITUDE KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

The Iitians: The Story Of A Remarkable Indian Institution And How Its Alumni Are Reshaping The World Iit (Indian Institute Of Technology) Is India S Biggest And Most Powerful Brand, And Arguably The Toughest And Most Influential Engineering School In The World. Since The First Iit Was Set Up In The 1950S, Thousands Of Initiates Have Walked Out Of The Campus Gates In Kharagpur, Mumbai, Chennai And Elsewhere To Become Leaders In Their Chosen Fields. In India They Head Many Of The Biggest And Most Admired Professionally Managed Companies. Abroad, They Lead Giant Corporations, And Their Feats Figure In The Folklore Of Silicon Valley. The Power That The Alumni Of This One Bunch Of Undergraduate Schools Wields In Business, Academe And Research Is Comparable To That Of Cambridge And Oxford In The Heyday Of The British Empire. Sandipan Deb, Himself An Iitian, Delves Into His Own Experience And Those Of Scores Of Alumni To Try And Explain What Makes Iitians Such Outstanding Achievers. In Part It May Be That They Cannot Be Anything Else: Only One In Every Hundred Applicants Gets Admitted. Harvard, In Comparison, Takes One In Eight. The Unique Village-Like Campuses Peopled Only By The Super-Bright And The Intensely Competitive Hone The Iitians Skills Further. No Wonder Then That When They Leave The Campus, Iitians Look Upon Themselves As Special People, Capable Of Competing In Their Field With The Best In The World. And, As Their Record Shows, Succeeding.