Building Problem Solvers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Building Problem Solvers write by Kenneth D. Forbus. This book was released on 1993. Building Problem Solvers available in PDF, EPUB and Kindle. After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
Building Problem Solvers Listings - 3. 5
Building Problem Solvers Listings - 3. 5 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Building Problem Solvers Listings - 3. 5 write by Kenneth D. Forbus. This book was released on 1994-01. Building Problem Solvers Listings - 3. 5 available in PDF, EPUB and Kindle. This supplement to Building Problem Solvers contains the Common Lisp code examplesreferenced throughout the text. The code is available on disk and can also be downloaded viaftp.
Problem Solving 101
Problem Solving 101 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Problem Solving 101 write by Ken Watanabe. This book was released on 2009-03-05. Problem Solving 101 available in PDF, EPUB and Kindle. The fun and simple problem-solving guide that took Japan by storm Ken Watanabe originally wrote Problem Solving 101 for Japanese schoolchildren. His goal was to help shift the focus in Japanese education from memorization to critical thinking, by adapting some of the techniques he had learned as an elite McKinsey consultant. He was amazed to discover that adults were hungry for his fun and easy guide to problem solving and decision making. The book became a surprise Japanese bestseller, with more than 370,000 in print after six months. Now American businesspeople can also use it to master some powerful skills. Watanabe uses sample scenarios to illustrate his techniques, which include logic trees and matrixes. A rock band figures out how to drive up concert attendance. An aspiring animator budgets for a new computer purchase. Students decide which high school they will attend. Illustrated with diagrams and quirky drawings, the book is simple enough for a middleschooler to understand but sophisticated enough for business leaders to apply to their most challenging problems.
Courageous Cultures
Courageous Cultures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Courageous Cultures write by Karin Hurt. This book was released on 2020-07-28. Courageous Cultures available in PDF, EPUB and Kindle. From executives complaining that their teams don’t contribute ideas to employees giving up because their input isn’t valued--company culture is the culprit. Courageous Cultures provides a road map to build a high-performance, high-engagement culture around sharing ideas, solving problems, and rewarding contributions from all levels. Many leaders are convinced they have an open environment that encourages employees to speak up and are shocked when they learn that employees are holding back. Employees have ideas and want to be heard. Leadership wants to hear them. Too often, however, employees and leaders both feel that no one cares about making things better. The disconnect typically only widens over time, with both sides becoming more firmly entrenched in their viewpoints. Becoming a courageous culture means building teams of microinnovators, problem solvers, and customer advocates working together. In our world of rapid change, a courageous culture is your competitive advantage. It ensures that your company is “sticky” for both customers and employees. In Courageous Cultures, you’ll learn practical tools that help you: Learn the difference between microinnovators, problem solvers, and customer advocates and how they work together. See how the latest research conducted by the authors confirms why organizations struggle when it comes to creating strong cultures where employees are encouraged to contribute their best thinking. Learn proven models and tools that leaders can apply throughout all levels of the organization, to reengage and motivate employees. Understand best practices from companies around the world and learn how to apply these strategies and techniques in your own organization. This book provides you with the practical tools to uncover, leverage, and scale the best ideas from every level of your organization.
Practical Machine Learning with Python
Practical Machine Learning with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Machine Learning with Python write by Dipanjan Sarkar. This book was released on 2017-12-20. Practical Machine Learning with Python available in PDF, EPUB and Kindle. Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students
