Python machine learning

The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development. This condensed code and syntax reference pres

Invaluable, hard-to-find information on the optimum purchase, design, and installation of large-scale, ultra-expensive machine tools.Written by an engineer with many years of experience in the machine

This book describes the synthesis and use of biologically-inspired artificial hydrocarbon networks for modeling problems associated with machine learning, offers a novel algorithm for exploiting them

Man-Machine Interaction is an interdisciplinary field of research that covers many aspects of science focused on a human and machine in conjunction. Basic goal of the study is to improve and invent ne

Embodied conversational agents (ECA) and speech-based human–machine interfaces can together represent more advanced and more natural human–machine interaction. Fusion of both topics is a challenging a

Kivy: Interactive Applications in Python is an easy-to-follow book that will guide you into the world of Kivy. This book is aimed at Python developers who are familiar with Python and have a good unde

'On this machine, I intend to explore time ...'

C++ is a great place to learn programming. Learn the syntax of C++ and learning languages like Java, JavaScript, PHP, Python and many others are much easier.The way to learn programming is by doing. T

This book presents modern machine element theory in a format and with a pedagogy that is favorable to junior students taking a Machine Design course. Using an advanced pedagogy and a proven combinatio

Sparse modeling is an important issue in many applications of machine learning and statistics where the main objective is discovering predictive patterns in data to enhance understanding of underlying

"Open source and easy to use, Python offers the availability of exciting libraries of software, application programming interfaces, and even connections to web services. This textbook uses Python as a

For kids who have mastered hand sewing, machine sewing opens up exciting new possibilities! With Sewing School 2, children 7 and up can make 20 creative projects as they develop their machine sewing s

Blender Meets Python is an exciting and concise volume that introduces you to the wonderful couple that have been getting along so well for years now, that's right Blender 3D and Python scripting!This

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields

This book deals with the process of choosing and using a milling machine and its accessories. In addition to the machine itself, the accessories include the cutters, cutter chucks, work piece clamps,

This text is an unbound, binder-ready edition. Python for Everyone, 1st Edition is a comprehensive introduction to Python and computer programming, which focuses on the principles of programming, soft

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides student

No one knows and writes about machine guns like Peter Kokalis. Kokalis on Machine Guns collects the best Kokalis articles and columns on full-auto arms. It covers everything from antiques like the Col

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal proce

Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM."Structural Health Monitoring: A Machine

The US M60 Machine Gun, known as "the Pig," was developed in the years after World War II from two revolutionary German designs, combining the effective belt-feed system of the MG 42 machine gun with

Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the

Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine underst

Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced co

The 18 papers in this collection explore machine learning techniques for extracting information from large amounts of data with several variables. Six papers from Spanish universities review Bayesian

This collection of twenty-one articles on machine intelligence showcases current scholarship in a variety of domains relating to the development of learning computers, advanced algorithms, and automat

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. • Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry • A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, f

Treading on Python Volume 1 is a book designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years o

Boosting is an approach to machine learning based on the idea of creating a highlyaccurate predictor by combining many weak and inaccurate "rules of thumb." A remarkablyrich theory has evolved around

If you would like to teach a special child how to sew, this book presents a series of skills in a learning sequence that takes the new seamstress from the first use of a sewing machine through making

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks.

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering

您將從《深入淺出 Python（中文版）》學會什麼？ 你想過可以通過一本書就學會Python嗎？《Head First Python（中文版）》超越枯燥的語法和用法手冊，通過一種獨特的方法教你學習這種語言。你會迅速掌握Python的基礎知識，然後轉向持久存儲、異常處理、Web開發、SQLite.數據加工和Google App Engine。你還將學習如何為Android編寫移動應用，這都要歸功于

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a val

Python 3 is an open-source programming language that can be used to develop any application imaginable-business, games, web, and more. We think it should be just as much fun to learn Python as it is

“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionar

Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tag

Whether you're a seasoned machine quilter or a novice who's always wanted to learn to machine-quilt, this one-stop, quilter-tested reference guide will show you everything you need to know about this

Making Games with Python & Pygame is a programming book that covers the Pygame game library for the Python programming language. Each chapter gives you the complete source code for a new game and

Python是當今世界流行的編程語言之一。《Python編程實踐》共15章，通過一些短小精悍的交互式Python腳本幫助學生進行練習，并在這個過程中掌握諸如數據結構、排序和搜索算法、面向對象編程、數據庫訪問、圖形用戶界面等基本概念以及良好的程序設計風格。《Python編程實踐》既是一本注重科學的計算機科學專業教材，也是一本目標明確的Python參考書。