Book picks similar to
The Minimum Description Length Principle by Peter D. Grünwald
machine-learning
mathematics
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Modern Bushido: Living a Life of Excellence
Bohdi Sanders - 2011
This book covers 30 essential traits that will change your life. Modern Bushido expands on the standards and principles needed for a life of excellence, and applies them directly to life in today’s world. Readers will be motivated and inspired by the straightforward wisdom in this enlightening book. If you want to live a life of excellence, this book is for you! This is a must read for every martial artist and anyone who seeks to live life as it is meant to be lived.
Introduction to Logic
Irving M. Copi - 1953
Many new exercises introduced in this edition help supplement and support explanations, aid in review, and make the book visually stimulating. This edition also includes a revised Logic tutorial on CD-Rom--further simplifying the study of logic. Includes many fascinating illustrations taken from the history of science as well as from contemporary research in the physical and biological sciences, plus introduces an abundance of new exercises throughout, complete with solutions for the first exercise in a set. Appropriate for those in business, education, political, or psychology careers.
Calculus
Michael Spivak - 1967
His aim is to present calculus as the first real encounter with mathematics: it is the place to learn how logical reasoning combined with fundamental concepts can be developed into a rigorous mathematical theory rather than a bunch of tools and techniques learned by rote. Since analysis is a subject students traditionally find difficult to grasp, Spivak provides leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Calculus will continue to be regarded as a modern classic, ideal for honours students and mathematics majors, who seek an alternative to doorstop textbooks on calculus, and the more formidable introductions to real analysis.
7 Thoughts to Live Your Life By: A Guide to the Happy, Peaceful, & Meaningful Life
I.C. Robledo - 2018
They can drag you down or Lift You Higher and Higher to better places than you could have dreamed of. Many people focus on improving their habits, and this can be useful, but it is very difficult to make a long-lasting positive change when you don’t have the Right Thoughts in mind. With this book You will learn what the Right Thoughts are, and they will help reveal the path to your best life. The 7 Thoughts to Live Your Life By will provide you with the most compelling Thoughts that have the power to help you
Make Your Dreams into a Reality
, find happiness, achieve success, overcome the obstacles on your path, and become your best self. Internationally bestselling author I. C. Robledo discovered the 7 Thoughts after suffering through a dark depression. While meditating one day, he asked himself how he could live a better life and the 7 Thoughts came to him in a flash of insight. He transformed his life with the 7 Thoughts and would like to help you to do the same. These Thoughts have also been found in religious and philosophical texts from the East to the West, and they have been supported through modern scientific findings. Are You ready to tap into an Eternal Wisdom that transcends any single era, philosophy, religion, or culture?
Are You Ready to Awaken?
When you learn the 7 Thoughts and master them, you will be ready to Awaken and be able to:
Consciously use the 7 Thoughts to create a good, happy, peaceful, and meaningful life
Understand that a simple Thought holds immense power, and can have effects on the other side of the world
Be a great source of positive energy, and diminish or stop creating experiences of sorrow, anxiety, stress, and pain for yourself and for others
Turn a Superpain into a Superpower, meaning to convert painful, difficult, or negative experiences into superpowers, or positive and desirable experiences
Accept the Now, love the Now, and understand that the Now is all there is, rather than needing things to be some other way
Discover your gift in order to give it away to the world
Align your thoughts, words, actions, beliefs, values, and desires to become a unified, happy, and transcendent being
Become a limitless being and shine with the stars with the 7 Thoughts to Live Your Life By. Pick up your copy today by scrolling to the top of the page and clicking BUY NOW.
The Age of AI and Our Human Future
Henry Kissinger - 2021
Another AI discovered a new antibiotic by analyzing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality.In The Age of AI, three leading thinkers have come together to consider how AI will change our relationships with knowledge, politics, and the societies in which we live. The Age of AI is an essential roadmap to our present and our future, an era unlike any that has come before.
Data Science For Dummies
Lillian Pierson - 2014
Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.
Diffusion of Innovations
Everett M. Rogers - 1982
It has sold 30,000 copies in each edition and will continue to reach a huge academic audience.In this renowned book, Everett M. Rogers, professor and chair of the Department of Communication & Journalism at the University of New Mexico, explains how new ideas spread via communication channels over time. Such innovations are initially perceived as uncertain and even risky. To overcome this uncertainty, most people seek out others like themselves who have already adopted the new idea. Thus the diffusion process consists of a few individuals who first adopt an innovation, then spread the word among their circle of acquaintances--a process which typically takes months or years. But there are exceptions: use of the Internet in the 1990s, for example, may have spread more rapidly than any other innovation in the history of humankind. Furthermore, the Internet is changing the very nature of diffusion by decreasing the importance of physical distance between people. The fifth edition addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.
Mind, Character, And Personality, Vol. I
Ellen G. White - 1977
BROWN BOARDS WITH GOLD GILTING.
Deep Learning
Ian Goodfellow - 2016
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.
What Algorithms Want: Imagination in the Age of Computing
Ed Finn - 2017
It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking.Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.
Magic of Faith
Joseph Murphy - 2008
Here is the law: "I am that which I feel myself to be." Practice changing the feeling of "I" every day by affirming: "I am Spirit; I think, see, feel, and live as Spirit, the Presence of God.
How to Prepare for Quantitative Aptitude for the CAT Common Admission Test
Arun Sharma - 2012
The book will also be extremely useful for those preparing for other MBA entrance examinations like XAT, SNAP, CMAT, NMAT, etc. Quantitative Aptitude is quite challenging component of the CAT question paper and the other mentioned MBA entrance examinations. In his inimitable style, Arun Sharma, an acknowledged authority on the topic, provides a comprehensive package of theory and practice problems to enable aspirants to attempt questions with extra speed and confidence.
Conceptual Mathematics: A First Introduction to Categories
F. William Lawvere - 1997
Written by two of the best-known names in categorical logic, Conceptual Mathematics is the first book to apply categories to the most elementary mathematics. It thus serves two purposes: first, to provide a key to mathematics for the general reader or beginning student; and second, to furnish an easy introduction to categories for computer scientists, logicians, physicists, and linguists who want to gain some familiarity with the categorical method without initially committing themselves to extended study.
Quantum Theory
David Bohm - 1951
Although it presents the main ideas of quantum theory essentially in nonmathematical terms, it follows these with a broad range of specific applications that are worked out in considerable mathematical detail. Addressed primarily to advanced undergraduate students, the text begins with a study of the physical formulation of the quantum theory, from its origin and early development through an analysis of wave vs. particle properties of matter. In Part II, Professor Bohm addresses the mathematical formulation of the quantum theory, examining wave functions, operators, Schrödinger's equation, fluctuations, correlations, and eigenfunctions.Part III takes up applications to simple systems and further extensions of quantum theory formulation, including matrix formulation and spin and angular momentum. Parts IV and V explore the methods of approximate solution of Schrödinger's equation and the theory of scattering. In Part VI, the process of measurement is examined along with the relationship between quantum and classical concepts.Throughout the text, Professor Bohm places strong emphasis on showing how the quantum theory can be developed in a natural way, starting from the previously existing classical theory and going step by step through the experimental facts and theoretical lines of reasoning which led to replacement of the classical theory by the quantum theory.