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RSS订阅Computer Vision Models, Learning, and Inference
Computer Vision Models, Learning, and Inference
The goal of computer vision is to extract useful information from images. This has
proved a surprisingly challenging task; it has occupied thousands of intelligent and creative
minds over the last four decades, and despite this we are still far from being able to
build a general-purpose “seeing machine.”
Part of the problem is the complexity of visual data.
2018-06-17
Computer Vision A Modern Approach
2nd Edition 计算机视觉的现代方法 Computer vision as a field is an intellectual frontier. Like any frontier, it is exciting and disorganized, and there is often no reliable authority to appeal to.
Many useful ideas have no theoretical grounding, and some theories are useless
in practice; developed areas are widely scattered, and often one looks completely
inaccessible from the other. Nevertheless, we have attempted in this book to present
a fairly orderly picture of the field.
2018-06-17
Milan_Sonka_-_Image_Processing_Analysis_and_Machine_Vision,_3rd
Milan_Sonka_-_Image_Processing_Analysis_and_Machine_Vision,_3rd_Ed
图像处理与机器视觉 高清英文原版PDF
2018-06-17
计算机视觉、模式识别
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition 计算机视觉、模式识别英文论文集 非常经典
2018-06-17
Image_Processing_with_ImageJ，_Second_Edition
Image_Processing_with_ImageJ，_Second_Edition 图像处理非常经典的参考书
2018-06-17
Building The Data Warehouse 4th Edition
Building The Data Warehouse 4th Edition 英文高清原版教程 加中文版，内容丰富，值得阅读
2018-06-16
Applied Numerical Methods with MATLAB for Engineers
Applied Numerical Methods with MATLAB for Engineers
This book is designed to support a one-semester course in numerical methods. It has been
written for students who want to learn and apply numerical methods in order to solve problems
in engineering and science. As such, the methods are motivated by problems rather
than by mathematics. That said, sufficient theory is provided so that students come away
with insight into the techniques and their shortcomings.
2018-06-15
MATLAB Numerical Calculations(Apress,2014)
matlab 三本有关数学的书 MATLAB is a platform for scientific calculation and high-level programming which uses an interactive environment
that allows you to conduct complex calculation tasks more efficiently than with traditional languages, such as C, C++
and FORTRAN. It is the one of the most popular platforms currently used in the sciences and engineering.
MATLAB is an interactive high-level technical computing environment for algorithm development, data
visualization, data analysis and numerical analysis. MATLAB is suitable for solving problems involving technical
calculations using optimized algorithms that are incorporated into easy to use commands
2018-06-15
Numerical_Methods_in_Finance_and_Economics_A_MATLAB－Based_Introduction
【MatLab】金融学与经济学中的数值方法基于MATLAB编程 中文文教材 含有书中的源代码，是一本非常经典的金融计算教程。
2018-06-15
Biologically_Inspired_Algorithms_for_Financial_modelling
神经网络算法在金融学中的运用 The field of biologically inspired computing has advanced rapidly over the past
decade. One offshoot of this progress has been the development of a large family
of biologically inspired algorithms. Broadly speaking, biologically inspired
algorithms draw metaphorical inspiration from diverse sources, including the
operation of biological neurons, processes of evolution, models of social interaction
amongst organisms, and natural immune systems, in order to develop
tools for solving real-world problems. This book provides an introduction to
a broad range of biologically inspired algorithms and illustrates how they can
be applied for financial modelling using a series of case studies. These cases
include the modelling of financial markets, the development of financial trading
systems, the creation of solvency prediction systems, and the creation of
credit rating models. In this book particular emphasis is placed on evolutionary
methodologies, particularly the novel, powerful, modelling methodology
Grammatical Evolution. No prior knowledge of either biologically inspired
algorithms or financial modelling is assumed.
2018-06-15
Natural Computing in Computational Finance
金融学中的计算方法：The inspiration for this book stemmed from the success of EvoFin 2007, the first
EuropeanWorkshop on Evolutionary Computation in Finance and Economics, which
was held as part of the EvoWorkshops at Evo* in Valencia, Spain in April 2007. The
range and quality of papers submitted for the workshop underscored the significant
level of research activity which is taking place at the interface of natural computing
and finance. After the workshop, a call for papers was issued for this volume and
following a rigorous, peer-reviewed, selection process a total of fourteen chapters
were finally selected. The chapters were selected on the basis of technical excellence
and as examples of the application of a range of natural computing and agent-based
methodologies to a broad array of financial domains. The book is intended to be
accessible to a wide audience and should be of interest to academics, students and
practitioners in the fields of both natural computing and finance.
2018-06-15
Neural Networks in Finance Gaining Predictive Edge in the Market
神经网络在金融中的运用，英文原版，This book attempts to give a balanced critical review of these methods,
accessible to students with a strong undergraduate exposure to statistics,
econometrics, and intermediate economic theory courses based on calculus.
It is intended for upper-level undergraduate students, beginning graduate
students in economics or finance, and professionals working in business
and financial research settings. The explanation attempts to be straightforward:
what these methods are, how they work, and what they can deliver
for forecasting and decision making in financial markets. The book is not
intended for ordinary M.B.A. students, but tries to be a technical expos´e
of a state-of-the-art theme for those students and professionals wishing to
upgrade their technical tools.
2018-06-15
MySQL High Availability, 2nd Edition
This book is for MySQL professionals. We expect you to have basic knowledge of SQL,
MySQL administration, and the operating system you are running. We provide introductory
information about replication, disaster recovery, system monitoring, and other
key topics of high availability
2018-06-15
A_First_Course_in_Machine_Learning.
This book is based on material taught in a machine learning course in the
School of Computing Science at the University of Glasgow, UK. The course,
presented to nal year undergraduates and postgraduates, is made up of 20
hour-long lectures and 10 hour-long laboratory sessions. In such a short teach-
ing period, it is impossible to cover more than a small fraction of the material
that now comes under the banner of machine learning. Our intention when
teaching this course therefore, is to present the core mathematical and sta-
tistical techniques required to understand some of the most popular machine
learning algorithms and then present a few of these algorithms that span
the main problem areas within machine learning: classication, clustering and
projection. At the end of the course, the students should have the knowledge
and condence to be able to explore the machine learning literature to nd
methods that are more appropriate to them.
2018-06-15
Python for Data Analysis 第二版
This book is here to help you get your job done. In general, you may use the code in
this book in your programs and documentation. You do not need to contact us for
permission unless you’re reproducing a significant portion of the code. For example,
writing a program that uses several chunks of code from this book does not require
permission. Selling or distributing a CD-ROM of examples from O’Reilly books does
require permission. Answering a question by citing this book and quoting example
code does not require permission. Incorporating a significant amount of example code
from this book into your product’s documentation does require permission
2018-06-13
Programming in Python 3 A Complete Introduction to the Python Language
The purpose of this book is to show you how to write Python programs in good
idiomatic Python 3 style, and to be a useful reference for the Python 3 language
after the initial reading. Although Python 3 is an evolutionary rather than revolutionary
advance on Python 2,some older practices are no longer appropriate
or necessary in Python 3, and new practices have been introduced to take advantage
of Python 3 features. Python 3 is a better language than Python 2—it
builds on the many years of experience with Python 2 and adds lots of new
features (and omits Python 2’s misfeatures), to make it even more of a pleasure
to use than Python 2, as well as more convenient, easier, and more consistent
2018-06-12
Introduction To Computation And Programming Using Python
The book is based on an MIT course that has been offered twice a year since
2006. The course is aimed at students with little or no prior programming experience, but who have a need (or at least a desire) to understand computational approaches to problem solving. Each year, a few of the students in the class use the course as a stepping stone to more advanced computer science courses. But for most of the students it will be their only computer science course.
2018-06-12
Micrsoft_Excel_2013_Data_Analysis_and_Business_Modeling 高清pdf含源代码
The book you have in your hands is an attempt to make these successful classes available to everyone. Here is why I think the book will help you learn how to use Excel more effectively:
■■
The materials have been tested while teaching thousands of analysts working for Fortune 500 corporations and government agencies, including the U.S. Army.
■■
I’ve written the book as though I am talking to the reader. I hope this approach transfers the spirit of a successful classroom environment to the written page
2018-07-28
Excel_2016_Power_Programming_with_VBA
For most of us, the path to Excel VBA programming starts with the need to perform some task
that can’t be done with the standard tools in Excel. That task is different for each of us. Maybe that
task is to automatically create separate workbooks for all the rows in a dataset. Maybe that task is to
automate the emailing of dozens of reports. Whatever that task is for you, you can bet that someone
has started their own journey into Excel VBA with the same need.
The beautiful thing about Excel VBA is that you don’t have to be an expert to start solving problems
with it. You can learn just enough to solve a particular problem, or you can go further and discover
ways to handle all kinds of automation scenarios.
Whatever your goals may be, Excel 2016 Power Programming with VBA will help you harness the power
of the VBA language to automate tasks, work smarter, and be more productive.
2018-07-28
Marketing Analytics: Data-Driven Techniques with Microsoft® Excel®
Marketing Analytics
Given this growth of interest in marketing analytics and my love of Excel modeling,
I decided in 2004 to create a 7-week MBA elective in marketing analytics
(K509) at the Indiana University Kelley School of Business. Although there are
several excellent advanced marketing analytics books. (I am partial to Database
Marketing by Robert Blattberg, Byung-Do Kim, and Scott Neslin (Springer, 2008).)
I could not fi nd an Excel-based book that provided a how-to-do-it approach suitable
for an MBA elective or an advanced undergraduate course. With no suitable book
in hand, I wrote up course notes that I used in classes for 10 years. The course has
been wildly successful with nearly 65 percent of all MBA’s at the Kelley School taking
the class. In May 2013, I was honored to receive the Eli Lilly MBA teaching award
as the best teacher in the MBA program, primarily for teaching K509. In November
2011, Robert Elliott of Wiley Publishing approached me about turning my notes
into a book, and this book is the result. In addition to being utilized in K509, portions
of the book have been used to teach marketing analytics to senior managers
at Deloitte consulting, Booz Allen Hamilton consulting, and 3M marketing analysts
2018-07-28
C++ Programming From Problem Analysis to Program Design 8th
C++ Programming From Problem Analysis to Program Design 8th 最新版2018 涵盖最新C++ 14标准 高清PDF 1400多页
2018-07-26
Computer networking a top-down approach
Computer networking a top-down approach
The subject of computer networking is enormously complex, involving many
concepts, protocols, and technologies that are woven together in an intricate
manner. To cope with this scope and complexity, many computer networking texts
are often organized around the “layers” of a network architecture. With a layered
organization, students can see through the complexity of computer networking—
they learn about the distinct concepts and protocols in one part of the architecture
while seeing the big picture of how all parts fit together. From a pedagogical
perspective, our personal experience has been that such a layered approach
viii Preface indeed works well. Nevertheless, we have found that the traditional approach of
teaching—bottom up; that is, from the physical layer towards the application
layer—is not the best approach for a modern course on computer networking.
2018-07-26
《Mining of Massive Datasets》
这本书基于两门斯坦福大学计算机科学专业的课程： CS246 和 CS35A。它的受众为计算机专业的本科学生，不需要任何基础（高中数学学好即可）。剑桥大学出版社出版。译本名为《大数据:互联网大规模数据挖掘与分布式处理》。
This book evolved from material developed over several years by Anand Rajaraman
and Jeff Ullman for a one-quarter course at Stanford. The course
CS345A, titled “Web Mining,” was designed as an advanced graduate course,
although it has become accessible and interesting to advanced undergraduates.
When Jure Leskovec joined the Stanford faculty, we reorganized the material
considerably. He introduced a new course CS224W on network analysis and
added material to CS345A, which was renumbered CS246. The three authors
also introduced a large-scale data-mining project course, CS341. The book now
contains material taught in all three courses.
2018-07-20
Use MySQL with Python - M. MOka
Use MySQL with Python - M. MOka （mobi,pdf 高清英文原版）
This book demonstrates how to boost the productivity of your Python applications by
integrating them with the MySQL database server, the world’s most powerful open source
database. It will teach you to access the data on your MySQL database server easily with
Python’s library for MySQL using a practical, hands-on approach. Leaving theory to the
classroom, this book uses real-world code to solve real-world problems with real-world
solutions.
The book starts by exploring the various means of installing MySQL for Python on
different platforms and how to use simple database querying techniques to improve your
programs. It then takes you through data insertion, data retrieval, and error-handling
techniques to create robust programs. The book also covers automation of both database
and user creation, and administration of access controls. As the book progresses, you will
learn to use many more advanced features of Python for MySQL that facilitate effective
administration of your database through Python. Every chapter is illustrated with a project
that you can deploy in your own situation.
2018-07-20
Information_Retrieval Implementing and Evaluating Search Engines－MIT
Information Retrieval
Implementing and Evaluating
Search Engines
Stefan B¨uttcher
Charles L. A. Clarke
Gordon V. Cormack
2018-07-19
精益数据分析（英文版）
The Lean Startup movement is galvanizing a generation of entrepreneurs.
It helps you identify the riskiest parts of your business plan, then finds
ways to reduce those risks in a quick, iterative cycle of learning. Most of its
insights boil down to one sentence: Don’t sell what you can make; make
what you can sell. And that means figuring out what people want to buy.
Unfortunately, it’s hard to know what people really want. Many times,
they don’t know themselves. When they tell you, it’s often what they think
you want to hear.* What’s worse, as a founder and entrepreneur, you have
strong, almost overwhelming preconceptions about how other people
think, and these color your decisions in subtle and insidious ways.
Analytics can help. Measuring something makes you accountable. You’re
forced to confront inconvenient truths. And you don’t spend your life and
your money building something nobody wants.
2018-07-19
Learning_PostgreSQL_10，_2nd_Edition
PostgreSQL is an open source object relational database management system. It emphasizes
extensibility and competes with major relational database vendors such as Oracle, SQL
Server, and MySQL. Due to its rich extensions and open source license, it is often used for
research purposes, but PostgreSQL
2018-07-19
an－introduction－to－optimization－4th－edition 习题答案 英文版
an－introduction－to－optimization－4th－edition－solution－manual
为an introduction－to－optimization－4th－edition 的习题解答，高清英文完整版本
2018-07-10
MIT Optimization for Machine Learning.
The yearly Neural Information Processing Systems (NIPS) workshops bring
together scientists with broadly varying backgrounds in statistics, mathematics,
computer science, physics, electrical engineering, neuroscience, and
cognitive science, unified by a common desire to develop novel computational
and statistical strategies for information processing and to understand
the mechanisms for information processing in the brain. In contrast
to conferences, these workshops maintain a flexible format that both allows
and encourages the presentation and discussion of work in progress. They
thus serve as an incubator for the development of important new ideas in
this rapidly evolving field. The series editors, in consultation with workshop
organizers and members of the NIPS Foundation Board, select specific
workshop topics on the basis of scientific excellence, intellectual breadth,
and technical impact. Collections of papers chosen and edited by the organizers
of specific workshops are built around pedagogical introductory
chapters, while research monographs provide comprehensive descriptions of
workshop-related topics, to create a series of books that provides a timely,
authoritative account of the latest developments in the exciting field of neural
computation.
2018-07-10
Introduction to Data Mining 数据挖掘导论 part2
这是压缩文件的第二部分。Introduction to Data Mining 数据挖掘导论 包含完整地中文版、英文版 PPT 等习题答案均在压缩包中，一共有两个解压文件。两个文件下载完成后才能解压缩。
2018-07-10
Introduction to Data Mining 数据挖掘导论 part1
Introduction to Data Mining 数据挖掘导论 包含完整地中文版、英文版 PPT 等习题答案均在压缩包中，一共有两个解压文件。两个文件下载完成后才能解压缩。
2018-07-10
Multi-Label dimensionality Reduction
Multi-Label dimensionality Reduction Multi-label learning concerns supervised learning problems in which each instance
may be associated with multiple labels simultaneously. A key difference between
multi-label learning and traditional binary or multi-class learning is that the labels in
multi-label learning are not mutually exclusive. Multi-label learning arises in many
real-world applications. For example, in web page categorization, a web page may
contain multiple topics. In gene and protein function prediction, multiple functional
labels may be associated with each gene and protein, since an individual gene or
protein usually performs multiple functions. In automated newswire categorization,
multiple labels can be associated with a newswire story indicating its subject categories
and the regional categories of reported events. Motivated by the increasing
number of applications, multi-label learning has attracted significant attention in data
mining and machine learning recently.
2018-07-05
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