the Nest of Students

Machine Learning Classification Algorithms using MatLab [Size: 580 MB] ... This course is designed to cover one of the most interesting areas of machine learning called classification. I will take you step-by-step in this course and will first cover the basics of MATLAB. Following that we will look into the details of how to use different machine learning algorithms using MATLAB. Specifically, we will be looking at the MATLAB toolbox called statistic and machine learning toolbox. We will implement some of the most commonly used classification algorithms such as K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Tress, Support Vector Machines, Error Correcting Output Codes and Ensembles. Following that we will be looking at how to cross validate these models and how to evaluate their performances. Intuition into the classification algorithms is also included so that a person with no mathematical background can still comprehend the essential ideas. The following are the course outlines.

Table of Contents: - Segment 1: Instructor and Course Introduction - Segment 2: MATLAB Crash Course - Segment 3: Grabbing and Importing Dataset - Segment 4: K-Nearest Neighbor - Segment 5: Naive Bayes - Segment 6: Decision Trees - Segment 7: Discriminant Analysis - Segment 8: Support Vector Machines - Segment 9: Error Correcting Output Codes - Segment 10: Classification with Ensembles - Segment 11: Validation Methods - Segment 12: Evaluating Performance. This course is really good for a beginner. It will help you to start from the ground up and move on to more complicated areas. You receive knowledge from a Ph.D. in Computer science (machine learning) with over 10 years of teaching and research experience.

Stanley B. Lippman, Josée Lajoie ... 1264 pages - Publisher: Addison-Wesley Professional; 3rd edition (April, 1998) ... Language: English - ISBN-10: 0201824701 - ISBN-13: 978-0201824704

A completely rewritten tutorial driven by examples helps the novice C++ programmer solve problems in terms of choice of language features, implementation, and efficiency.

Eugeniy E. Mikhailov ... 266 pages - Publisher: CRC Press; 1st edition (February, 2018) ... Language: English - ISBN-10: 1498738281 - ISBN-13: 978-1498738286 ...

This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive "under the hood" details, and instead gets right down to the essential, practical foundations for successful programming and modeling. Readers will benefit from the following features: Teaches programming to scientists and engineers using a problem-based approach, leading with illustrative and interesting examples. + Emphasizes a hands-on approach, with "must know" information and minimal technical details. + Utilizes examples from science and engineering to showcase the application of learned concepts on real problems. + Showcases modeling of real systems, gradually advancing from simpler to more challenging problems. + Highlights the practical uses of data processing and analysis in everyday life.

A Boltzmann machine is a network of symmetrically connected, neuron-like units that make stochastic decisions about whether to be on or off. Boltzmann machines have a simple learning algorithm that allows them to discover interesting features that represent complex regularities in the training data. The learning algorithm is very slow in networks with many layers of feature detectors, but it is fast in "restricted Boltzmann machines" that have a single layer of feature detectors. Many hidden layers can be learned efficiently by composing restricted Boltzmann machines, using the feature activations of one as the training data for the next. Boltzmann machines are used to solve two quite different computational problems. For a search problem, the weights on the connections are fixed and are used to represent a cost function. The stochastic dynamics of a Boltzmann machine then allow it to sample binary state vectors that have low values of the cost function. For a learning problem, the Boltzmann machine is shown a set of binary data vectors and it must learn to generate these vectors with high probability. To do this, it must find weights on the connections so that, relative to other possible binary vectors, the data vectors have low values of the cost function. To solve a learning problem, Boltzmann machines make many small updates to their weights, and each update requires them to solve many different search problems.

Narasimha Karumanchi ... 434 pages - Publisher: CareerMonk Plublications; 5th edition (August, 2016) ... Language: English - ISBN-10: 819324527X - ISBN-13: 978-8193245279 ...

A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts. Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems.

John J. Kinney ... 480 pages - Publisher: Wiley; 2nd edition (December, 2014) ... Language: English - ISBN-10: 1118947088 - ISBN-13: 978-1118947081.

Martin H. Trauth ... 427 pages ... Publisher: Springer; 4th edition (February, 2015) ... Language: English - AmazonSIN: B018C2STZU.

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. 

Rajendra Akerkar, Priti Srinivas Sajja ... 272 pages - Publisher: Springer; 1st edition (October, 2016) ... Language: English - ISBN-10: 3319292056 - ISBN-13: 978-3319292052 ...

This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

Ghassan Karame,‎ Elli Audroulaki ... 218 pages - Publisher: Artech House; (September, 2016) ... Language: English - ISBN-10: 1630810134 - ISBN-13: 978-1630810139 ...

There is a lot of buzz about Bitcoin and Blockchain lately, our expert authors will help to answer some imperative questions about the security involved in this new digital asset and ledger. This comprehensive new resource presents a thorough overview and analysis of the security and privacy provisions of Bitcoin and its underlying blockchain clients. This book goes beyond the analysis of reported vulnerabilities of Bitcoin, evaluating a number of countermeasures to deter threats on the system. Readers are given concrete solutions and recommendations on the best practices to use when relying on Bitcoin as a payment method.This resource provides a clear explanation of assumptions governing the security of Bitcoin, including the scalability measures adopted in Bitcoin, privacy for clients, and the proper means of securing Bitcoin wallets. Readers learn how the security and privacy provisions of other blockchain technologies compare to Bitcoin and the security lessons learned after extensive research of Bitcoin since the inception of the currency.

Giuseppe C. Calafiore,‎ Laurent El Ghaoui ... 650 pages - Publisher: Cambridge Univ. Press; 1st edition (October, 2014) ... Language: English ... ISBN-10: 1107050871 - ISBN-13: 978-1107050877 ...

Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify, model and solve optimization problems - and apply these principles to their own projects. A clear and self-contained introduction to linear algebra demonstrates core mathematical concepts in a way that is easy to follow, and helps students to understand their practical relevance. Requiring only a basic understanding of geometry, calculus, probability and statistics, and striking a careful balance between accessibility and rigor, it enables students to quickly understand the material, without being overwhelmed by complex mathematics. Accompanied by numerous end-of-chapter problems, an online solutions manual for instructors, and relevant examples from diverse fields including engineering, data science, economics, finance, and management, this is the perfect introduction to optimization for undergraduate and graduate students.

Luis Rabelo,‎ Sayli Bhide,‎ Edgar Gutierrez ... 350 pages - Publisher: Nova Science; (February, 2018) ... Language: English - ISBN-10: 1536126772 - ISBN-13: 978-1536126778.

After decades of basic research and more promises than impressive applications, artificial intelligence (AI) is starting to deliver benefits. Organizations around the world have been realizing that there are substantial performance gains and increases in productivity for the use of AI and predictive analytics techniques. Their use is bringing a new era of breakthrough innovation and opportunities. This book, compiles research insights and applications in diverse areas such as manufacturing, supply chain management, pricing, autonomous vehicles, healthcare, ecommerce, and aeronautics. Using classical and advanced tools in AI such as deep learning, particle swarm optimization, support vector machines and genetic programming among others. This is a very distinctive book which discusses important applications using a variety of paradigms from AI and outlines some of the research to be performed. The work supersedes similar books that do not cover as diversified a set of sophisticated applications. The authors present a comprehensive and articulated view of recent developments, identifies the applications gap by quoting from the experience of experts, and details suggested research areas. Artificial Intelligence: Advances in Research and Applications guides the reader through an intuitive understanding of the methodologies and tools for building and modeling intelligent systems. The book's coverage is broad, starting with clustering techniques with unsupervised ensemble learning, where the optimal combination strategy of individual partitions is robust in comparison to the selection of an algorithmic clustering pool. The book discusses how the use of AI can allow for productivity development and other benefits not just for businesses, but also for economies. Finally, you can find an interesting investigation of the "transhuman" dimension of AI. (Nova)

Josh Patterson, Adam Gibson ... 532 pages - Publisher: O'Reilly Media; 1st edition (August, 2017) - Language: English - ISBN-10: 1491914254 - ISBN-13: 978-1491914250 ...

Slava Gomzin .. 138 pages - Publisher: Universal Publishers; (March, 2016) ... Language: English - ISBN-10: 1627340718 - ISBN-13: 978-1627340717 ...

It's thoughtless to start using something you don't trust. It's difficult to start trusting something you don't understand. Bitcoin for Nonmathematicians contains answers to the following questions: how bitcoin is different from other payment systems, and why we can trust cryptocurrencies. The book compares bitcoin with its predecessors and competitors, and demonstrates the benefits of cryptocurrency over any other existing methods of payments. Bitcoin for Nonmathematicians starts from overview of the evolution of payment systems from gold and paper money to payment cards to cryptocurrencies, and ends up with explaining the fundamentals of security and privacy of crypto payments by explaining the details of cryptography behind bitcoin in layman's terms.

Gerard Dreyfus ... 498 pages - Publisher: Springer; Reprint of 1st edition (November, 2010) ... Language: English - ISBN-10: 3642061877 - ISBN-13: 978-3642061875 ...

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.

Cyberpunk University ... 126 pages - Publisher: CreateSpace Independent Publishing; (January, 2017) ... Language: English - ISBN-10: 1542589401 - ISBN-13: 978-1542589406 ...

What if you could automate your life to make it much easier? How about, building your own API’s, messaging bots or create an automated coffee machine to make you coffee at the right time with the perfect temperature. Sounds good? This is just a fraction of what you could do with Python and we would love to show you how in just 12 Hours! Bullsh*t you say? Here at Cyberpunk University, we believe that we have the ability to learn Python to anybody within 12 hours. We know how quite tricky it is to learn and be a master of any programming language. Our team is comprised of professionals who have been in the industry of information technology for decades and our experience made us able to create information products such as this step-by-step guide. We took out all the bullsh*t and tell you what to do, and more important, HOW TO DO IT! What will you find in this book: - How to setup the programming language of the future - How to run Hello World the RIGHTWAY - How to use all the different data types in Python - Exercises at the end of each chapter to help you master Python - How to handle errors and exceptions when writing a program - How you can test your programs.

Florin Gorunescu ... 360 pages - Publisher: Springer; (June, 2011) ... Language: English - ISBN-10: 3642197205 - ISBN-13: 978-3642197208 ...

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.

The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell’s nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance. Presents a unique "confrontation" between software engineers and academics: * Highlights a global view of common optimization issues. * Emphasizes the research and market challenges of optimization software while avoiding sales pitches. * Accentuates real applications, not laboratory results.

Jorge Magalhães-Mendes, David Greiner ... 127 pages - Publisher: Springer; 1st edition (November, 2016) ... Language: English - ISBN-10: 3319373218 - ISBN-13: 978-3319373218 ...

This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.