How To Solve Almost Any Problem Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of How To Solve Almost Any Problem book. This book definitely worth reading, it is an incredibly well-written.
How to Solve Almost Any Problem by Alan Barker Pdf
Problems block and slow down your progress; here’s how to overcome them–simply, efficiently and effectively. This book offers straightforward, empowering science-based solutions to problems, big and small, at work or in life. It takes a never before seen approach to problem solving, powerfully combining lessons from cognitive science, established problem-solving theory and vast practical experience. It includes a radical new approach to analysing problems: The Problem Matrix. This will transform your approach to problems, challenge your thinking and help you develop new, positive, solution-focussed mindsets for the long-term.
Approaching (Almost) Any Machine Learning Problem by Abhishek Thakur Pdf
This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesub
How to Solve Almost Any Problem by Alan Barker Pdf
Problems block and slow down your progress; here’s how to overcome them–simply, efficiently and effectively. This book offers straightforward, empowering science-based solutions to problems, big and small, at work or in life. It takes a never before seen approach to problem solving, powerfully combining lessons from cognitive science, established problem-solving theory and vast practical experience. It includes a radical new approach to analysing problems: The Problem Matrix. This will transform your approach to problems, challenge your thinking and help you develop new, positive, solution-focussed mindsets for the long-term.
Learn to Code by Solving Problems by Daniel Zingaro Pdf
Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.
Bulletproof Problem Solving by Charles Conn,Robert McLean Pdf
Complex problem solving is the core skill for 21st Century Teams Complex problem solving is at the very top of the list of essential skills for career progression in the modern world. But how problem solving is taught in our schools, universities, businesses and organizations comes up short. In Bulletproof Problem Solving: The One Skill That Changes Everything you’ll learn the seven-step systematic approach to creative problem solving developed in top consulting firms that will work in any field or industry, turning you into a highly sought-after bulletproof problem solver who can tackle challenges that others balk at. The problem-solving technique outlined in this book is based on a highly visual, logic-tree method that can be applied to everything from everyday decisions to strategic issues in business to global social challenges. The authors, with decades of experience at McKinsey and Company, provide 30 detailed, real-world examples, so you can see exactly how the technique works in action. With this bulletproof approach to defining, unpacking, understanding, and ultimately solving problems, you’ll have a personal superpower for developing compelling solutions in your workplace. Discover the time-tested 7-step technique to problem solving that top consulting professionals employ Learn how a simple visual system can help you break down and understand the component parts of even the most complex problems Build team brainstorming techniques that fight cognitive bias, streamline workplanning, and speed solutions Know when and how to employ modern analytic tools and techniques from machine learning to game theory Learn how to structure and communicate your findings to convince audiences and compel action The secrets revealed in Bulletproof Problem Solving will transform the way you approach problems and take you to the next level of business and personal success.
Every person in every function of every organization is involved in solving problems. They show up in your email inbox, in meetings, in your own work. They are strategic and tactical, mundane and breakthrough, easy and difficult. Most organizations want to, and need to, improve their people's problem-solving efforts, and so they offer them tools, templates, and training. Yet this is not where the leverage for impact is found. People Solve Problems: The Power of Every Person, Every Day, Every Problem explores the real leverage to improve your problem solving. In the first section of the book, we explore the problem with problem solving, including both the value and limits of tools and templates. We also explore the marriage of problem solving and standards. Building on that start, People Solve Problems is built on four primary domains. After setting up the challenge, we start by exploring People-Centered Capabilities. These capabilities are tool agnostic, equally applicable to any chosen problem-solving method or no method at all. This includes a wide range of capabilities from creating problem statements to integrating intuition into problem solving. Next, we cover Problem-Solving Culture. These chapters outline the culture needed in the organization or the personal behaviors you must master to be successful in problem solving. The behaviors explored range from deliberately learning through problem solving to building transparency, vulnerability, and trust. In the third section, we dive into Success through Coaching. Problem solving is unlike other practices, training is incredibly insufficient, and coaching is the major driver of success. This section addresses the why, who, when, where, and of course the important how of coaching. Finally, we explore the Role of the Leader, whether the CEO or a team leader, in building an environment where problem solving can thrive. The leader must be the architect of their problem-solving systems, a shaper of culture, and a framer of problems. Problem-solving effectiveness is critical to success for both the problems you already know about and those you have not yet experienced. People Solve Problems will you help you, and those you lead, to be more effective now and in the future.
Grokking Artificial Intelligence Algorithms by Rishal Hurbans Pdf
Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. Summary Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you’ll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI. About the book Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. What's inside Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot About the reader For software developers with high school–level algebra and calculus skills. About the author Rishal Hurbans is a technologist, startup and AI group founder, and international speaker. Table of Contents 1 Intuition of artificial intelligence 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning with Q-learning
A human-centric guide to solving complex problems in engineering management, from sizing teams to handling technical debt. There’s a saying that people don’t leave companies, they leave managers. Management is a key part of any organization, yet the discipline is often self-taught and unstructured. Getting to the good solutions for complex management challenges can make the difference between fulfillment and frustration for teams—and, ultimately, between the success and failure of companies. Will Larson’s An Elegant Puzzle focuses on the particular challenges of engineering management—from sizing teams to handling technical debt to performing succession planning—and provides a path to the good solutions. Drawing from his experience at Digg, Uber, and Stripe, Larson has developed a thoughtful approach to engineering management for leaders of all levels at companies of all sizes. An Elegant Puzzle balances structured principles and human-centric thinking to help any leader create more effective and rewarding organizations for engineers to thrive in.
Decisions, Uncertainty, and the Brain by Paul W. Glimcher Pdf
In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.
Algorithmic Problem Solving by Roland Backhouse Pdf
An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!
Structured Finance and Collateralized Debt Obligations by Janet M. Tavakoli Pdf
An up-to-date look at the exploding CDO and structured credit products market In this fully updated Second Edition, financial expert Janet Tavakoli provides readers with a comprehensive look at the CDO and structured credit products market amid recent developments. In addition to a detailed overview of the market, this book presents key issues in valuing structured financial products and important quality control issues. Tavakoli shares her experiences in this field, as she examines important securitization topics, including the huge increase in CDO arbitrage created by synthetics, the tranches most at risk from new technology, dumping securitizations on bank balance sheets, the abuse of offshore vehicles by companies, the role of hedge funds, critical issues with subprime, Alt-A, and prime mortgage securitizations, and securitizations made possible by new securitization techniques and the Euro. While providing an overview of the market and its dynamic growth, Tavakoli takes the time to explore the types of products now offered, new hedging techniques, and valuation and risk/return issues associated with investment in CDOs and synthetic CDOs.
Integrated Methods for Optimization by John N. Hooker Pdf
The first edition of Integrated Methods for Optimization was published in January 2007. Because the book covers a rapidly developing field, the time is right for a second edition. The book provides a unified treatment of optimization methods. It brings ideas from mathematical programming (MP), constraint programming (CP), and global optimization (GO)into a single volume. There is no reason these must be learned as separate fields, as they normally are, and there are three reasons they should be studied together. (1) There is much in common among them intellectually, and to a large degree they can be understood as special cases of a single underlying solution technology. (2) A growing literature reports how they can be profitably integrated to formulate and solve a wide range of problems. (3) Several software packages now incorporate techniques from two or more of these fields. The book provides a unique resource for graduate students and practitioners who want a well-rounded background in optimization methods within a single course of study. Engineering students are a particularly large potential audience, because engineering optimization problems often benefit from a combined approach—particularly where design, scheduling, or logistics are involved. The text is also of value to those studying operations research, because their educational programs rarely cover CP, and to those studying computer science and artificial intelligence (AI), because their curric ula typically omit MP and GO. The text is also useful for practitioners in any of these areas who want to learn about another, because it provides a more concise and accessible treatment than other texts. The book can cover so wide a range of material because it focuses on ideas that arerelevant to the methods used in general-purpose optimization and constraint solvers. The book focuses on ideas behind the methods that have proved useful in general-purpose optimization and constraint solvers, as well as integrated solvers of the present and foreseeable future. The second edition updates results in this area and includes several major new topics: Background material in linear, nonlinear, and dynamic programming. Network flow theory, due to its importance in filtering algorithms. A chapter on generalized duality theory that more explicitly develops a unifying primal-dual algorithmic structure for optimization methods. An extensive survey of search methods from both MP and AI, using the primal-dual framework as an organizing principle. Coverage of several additional global constraints used in CP solvers. The book continues to focus on exact as opposed to heuristic methods. It is possible to bring heuristic methods into the unifying scheme described in the book, and the new edition will retain the brief discussion of how this might be done.
Train your brain for better decisions, problem solving, andinnovation Think Smarter: Critical Thinking to Improve Problem-Solvingand Decision-Making Skills is the comprehensive guide totraining your brain to do more for you. Written by a criticalthinking trainer and coach, the book presents a pragmatic set oftools to apply critical thinking techniques to everyday businessissues. Think Smarter is filled with real world examplesthat demonstrate how the tools work in action, in addition todozens of practice exercises applicable across industries andfunctions, Think Smarter is a versatile resource forindividuals, managers, students, and corporate trainingprograms. Thinking is the foundation of everything you do, but we relylargely on automatic thinking to process information, oftenresulting in misunderstandings and errors. Shifting over tocritical thinking means thinking purposefully using a framework andtoolset, enabling thought processes that lead to better decisions,faster problem solving, and creative innovation. ThinkSmarter provides clear, actionable steps toward improving yourcritical thinking skills, plus exercises that clarify complexconcepts by putting theory into practice. Features include: A comprehensive critical thinking framework Over twenty-five "tools" to help you think more critically Critical thinking implementation for functions andactivities Examples of the real-world use of each tool Learn what questions to ask, how to uncover the real problem tosolve, and mistakes to avoid. Recognize assumptions your can relyon versus those without merit, and train your brain to tick throughyour mental toolbox to arrive at more innovative solutions.Critical thinking is the top skill on the wish list in the businessworld, and sharpening your ability can have profound affectsthroughout all facets of life. Think Smarter: Critical Thinkingto Improve Problem-Solving and Decision-Making Skills providesa roadmap to more effective and productive thought.
Skip the complexity and learn to program FPGAs the easy way through this hands-on, beginner-friendly introduction to digital circuit design with Verilog and VHDL. Whether you have been toying with field programmable gate arrays (FPGAs) for years or are completely new to these reprogrammable devices, this book will teach you to think like an FPGA engineer and develop reliable designs with confidence. Through detailed code examples, patient explanations, and hands-on projects, Getting Started with FPGAs will actually get you started. Russell Merrick, creator of the popular blog Nandland.com, will guide you through the basics of digital logic, look-up tables, and flip-flops, as well as high-level concepts like state machines. You’ll explore the fundamentals of the FPGA build process including simulation, synthesis, and place and route.You’ll learn about key FPGA primitives, such as DSP blocks and PLLs, and examine how FPGAs handle math operations and I/O. Code examples are provided in both Verilog and VHDL, making the book a valuable resource no matter your language of choice. You’ll discover how to: Implement common design building blocks like multiplexers, LFSRs, and FIFOs Cross between clock domains without triggering metastable conditions or timing errors Avoid common pitfalls when performing math Transmit and receive data at lightning speeds using SerDes Write testbench code to verify your designs are working With this accessible, hands-on guide, you’ll be creating your own functional FPGA projects in no time. Getting started with FPGAs has never been easier.