Book picks similar to
Netlab: Algorithms for Pattern Recognition by Ian Nabney
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computer-science
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machine-learning
CEO in a Fantasy World, Book I
Tristan H. Brown - 2019
The next morning, he awoke in an entirely different body, inside of a polar opposite world. Kings and Queens? Magic? Dragons? Gryphons? Even vampires? Follow Caesar on his journey as he once again attempts to reach the top of the world, but this time, he will do it as no man, but a vampire instead!
Spoken English in Dialogues: 833 common English sentences used by native speakers in everyday life situations
Julia Deniskina - 2016
The book presents a lot of valuable phrases and sentences you will never think of unless you come across them. It contains plenty of common sentences used by native English speakers in everyday life. The book covers topics such as meeting new people and making small talk, dating and visiting friends, emergency situations and doctor’s appointments, car and flat rental, staying in hotels and traveling by air, shopping and bargaining.
Paperback Dreams
Rahul Saini - 2013
All he wants is to earn loads of money and have hot girls chase after him wherever he goes. Rohit Sehdev, a one book old popular fiction writer is furious when he finds out that his publisher has cheated him out of his royalties. Karun Ahuja is a highly ambitious schoolboy who wants to win the heart his lady love by writing a novel about it and he doesnt mind playing dirty to get to the top. Ruthlessly exploiting these ambitious young men is their unscrupulous publisher. Sometimes funny, sometimes shocking, Paperback Dreams is the story of a new breed of young writers who will do anything to get famous, fast.
Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications
Joshua Chapmann - 2017
Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees
Super Devouring System: volume 1
Song Of Moon Does Not Fall - 2019
Not only could it devour everything, it could also exchange for bloodlines, martial arts, godly weapons, medicinal pills, treasures … "This is way too strong! Don’t provoke me, do you believe that I can devour your divine items and swords? "
Multiple View Geometry in Computer Vision
Richard Hartley - 2000
This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9
Introduction to Information Retrieval
Christopher D. Manning - 2008
Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.
Bayes Theorem Examples: An Intuitive Guide
Scott Hartshorn - 2016
Essentially, you are estimating a probability, but then updating that estimate based on other things that you know. This book is designed to give you an intuitive understanding of how to use Bayes Theorem. It starts with the definition of what Bayes Theorem is, but the focus of the book is on providing examples that you can follow and duplicate. Most of the examples are calculated in Excel, which is useful for updating probability if you have dozens or hundreds of data points to roll in.
What Hedge Funds Really Do: An Introduction to Portfolio Management
Philip J. Romero - 2014
We’ve comea long way since then. With this book, Drs. Romero and Balch liftthe veil from many of these once-opaque concepts in high-techfinance. We can all benefit from learning how the cooperationbetween wetware and software creates fitter models. This bookdoes a fantastic job describing how the latest advances in financialmodeling and data science help today’s portfolio managerssolve these greater riddles. —Michael Himmel, ManagingPartner, Essex Asset ManagementI applaud Phil Romero’s willingness to write about the hedgefund world, an industry that is very private, often flamboyant,and easily misunderstood. As with every sector of the investmentlandscape, the hedge fund industry varies dramaticallyfrom quantitative “black box” technology, to fundamental researchand old-fashioned stock picking. This book helps investorsdistinguish between these diverse opposites and understandtheir place in the new evolving world of finance. —Mick Elfers,Founder and Chief Investment Strategist, Irvington Capital
Category Theory for Programmers
Bartosz Milewski - 2014
Collected from the series of blog posts starting at: https://bartoszmilewski.com/2014/10/2...Hardcover available at: http://www.blurb.com/b/9008339-catego...
Machine Learning
Tom M. Mitchell - 1986
Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.
The Student Nurse Handbook: A Survival Guide
Bethann Siviter - 2004
It provides hints, tips and practical advice on aspects such as placements, reading research, living as a student and the nursing profession as a whole.
Building the Better Guitar Scale
Michael Pillitiere - 2010
What is needed is a clear and simple method of learning one scale in all positions, and of learning all scales in one position. Guitarists need to be able to call up any scale to their fingertips instantaneously regardless of key, mode, string, or position and they need to be able to do so without memorizing hundreds of pages of diagrams. Fortunately, this is not only possible, but it is also incredibly simple. This booklet will teach you how.
The Kingkiller Chronicles (Patrick Rothfuss's Series Summary and Companion)
Lvowell - 2011
This book will walk you through structure, settings, plot, and characters so you can understand everything there is know about this series. Also learn more about sympathetic magic and the author, Patrick Rothfuss.Breve Books offers short books and summaries of your favorite books, movies and series. Look for your favorites with Breve Books today!
65 Successful Harvard Business School Application Essays: With Analysis by the Staff of The Harbus, the Harvard Business School Newspaper
Lauren Sullivan - 2009
. . IN 300 WORDS OR LESSIt’s a daunting task. Even the most seasoned professionals find business school application essays to be among the hardest pieces they ever write. With a diverse pool of talented people applying to the nation’s top schools from the most successful companies and prestigious undergraduate programs in the world, a simple biography detailing accomplishments and goals isn’t enough. Applicants need clear and compelling arguments that grab admissions officers and absolutely refuse to let go.To help them write the essays that get them accepted into Harvard or any of the country’s other top programs, the staff of The Harbus---HBS’s student newspaper---have updated and revised their collection of sixty-five actual application essays as well as their detailed analysis of them so that applicants will be able to:* Avoid common pitfalls* Play to their strengths* Get their message acrossWherever they are applying, the advice and tested strategies in 65 Successful Harvard Business School Application Essays give business professionals and undergraduates the insider’s knowledge to market themselves most effectively and truly own the process.