Free books on technology subjects
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts. The Python programming language, the language choice of this book, comes with many freely available powerful modules for handling images, mathematical computing and data mining.
There are three main goals to this text and its accompanying resources. First, it serves to expose the student to the breadth that is the field of computer science. Computer science is more than just the study of computers – it focuses on all facets of computation, from the design and analysis of algorithms (step-by-step sequences of instructions for carrying out tasks), to the engineering and manufacture of computer components, to the development of software systems. Through readings and the use of online resources, the student will study topics such as the history of computer technology, the underlying architecture of modern computers, the translation and execution sequence of programs, and the capabilities and limitations of computation, all the topics covered in every respectable computer science degree programs. Using software simulators, the student will build virtual components of a computer and watch the flow of information as a program is translated and executed on the low-level machinery. Through this combination of reading and experimentation, hopefully these concepts will come alive for the student and provide a sense of what computer science is all about.
The goal of this book was to assimilate the existing cryptographic knowledge of industrial interest into one consistent, self-contained volume accessible to engineers in practice, to computer scientists and mathematicians in academia, and to motivated non-specialists with a strong desire to learn cryptography. Such a task is beyond the scope of each of the following: research papers, which by nature focus on narrow topics using very specialized (and often non-standard) terminology; survey papers, which typically address, at most, a small number of major topics at a high level; and (regretably also) most books, due to the fact that many book authors lack either practical experience or familiarity with the research literature or both.
This desktop encyclopedia contains more than 10,000 terms, which are explained accurately and lucidly. There 800 illustrations that are used to show devices and clarify concepts. The expansive, "encyclopedic" format of the book makes it possible to explain concepts and historical background at whatever length is necessary, as opposed to abbreviated and dictionary definitions. Buzzwords and acronyms are explained and phonetically pronounced, while information on the latest topics and trends in the Internet, graphics, media, and devices is also uncluded.
Emphasizes are put on the ethic of working as a programmer and as a member of the team. The requirement analysis may blurry, the individual team member skill may not be equal, and deadlines may be impossible, but that's all of it. We can't really complain because all of those must be accepted as the natural of professional programming. Inside this essay you'll find tips on how to learn communication language among your peers, how to talk to non-engineers, and how to deal with difficult people. As programmers are also human with their personal lives and personal problems, this essay also show us how to take a break when needed, and how to recognize when to go home, and how to communicate and negotiate with your boss, so that you won't end up working heroically for 50 to 60 hours a week.
Physics is beyond equations, it is in experience. With this thought in mind, this book comes up with an amazing explanation of vivid physical phenomena including heat, light, motion, gravity, energy, atoms and the universe as a whole. This book considers physics from the very small to the very large. All chapters start with a brief introduction, and illustrative examples and diagrams comfort you throughout the book. Not only that, your understanding of nature is complemented by numerous conceptual questions, revision activities and interesting experiments ! So get ready to understand nature because if you know the rules, you can enjoy physics too !
Inside, you’ll find everything from how to harden Linux and Windows systems to how to investigate breaches with Sleuth Kit, Autopsy Forensic Browser, and Forensic Tool Kit. For each security task described, the author reviews the best open source tools and how to use them and also provides a case study and sample implementation.
Computer networking technologies are the glue that binds these elements together.
Contents: 1. Fundamentals: Chapters 1 through 4 focus on the fundamental aspects of data and data analysis: introduction to data mining ( chapter 1), measurement (chapter 2), summarizing and visualizing data (chapter 3), and uncertainty and inference ( chapter 4). 2. Data Mining Components: Chapters 5 through 8 focus on what we term the "components" of data mining algorithms: these are the building blocks that can be used to systematically create and analyze data mining algorithms. In chapter 5 we discuss this systematic approach to algorithm analysis, and argue that this " component wise" view can provide a useful systematic perspective on what is often a very confusing landscape of data analysis algorithms to the novice student of the topic. In this context, we then delve into broad discussions of each component: model repr esentations in chapter 6, score functions for fitting the models to data in chapter 7, and optimization and search techniques in chapter 8. (Discussion of data management is deferred until chapter 12 .) 3. Data Mining Tasks and Algorithms: Having discussed the fundamental components in the first 8 chapters of the text, the remainder of the chapters (from 9 through 14) are then devoted to specific data mining tasks and the algorithms used to address them. We organize the basic tasks into density estimation and clustering ( chapter 9), classification (chapter 10), regression (chapter 11), pattern discovery (chapter 13), and retrieval by content (chapter 14). In each of these chap ters we use the framework of the earlier chapters to provide a general context for the discussion of specific algorithms for each task. For example, for classification we ask: what models and representations are plausible and useful? what score functions s hould we, or can we, use to train a classifier? what optimization and search techniques are necessary? what is the computational complexity of each approach once we implement it as an actual algorithm? Our hope is that this general approach will provide thereader with a "roadmap" to an understanding that data mining algorithms are based on some very general and systematic principles, rather than simply aing blocks that can be used to systematically create and analyze data mining algorithms. In chapter 5 we discuss this systematic approach to algorithm analysis, and argue that this " component - wise" view can provide a useful systematic perspective on what is often a very confusing landscape of data analysis algorithms to the novice student of the topic. In this context, we then delve into broad discussions of each component: model repr esentations in chapter 6, score functions for fitting the models to data in chapter 7, and optimization and search techniques in chapter 8. cornucopia of seemingly unrelated and exotic algorithm.
Neuroscience: the Science of the Brain
The following material is addressed to readers who are already familiar with applied mathematics
A previous acquaintance with probability and statistics is not necessary;
Science is often hard to read. Most people assume that its difficulties are born out of necessity, out of the extreme complexity of scientific concepts, data and analysis. We argue here that complexity of thought need not lead to impenetrability of expression; we demonstrate a number of rhetorical principles that can produce clarity in communication without oversimplifying scientific issues. The results are substantive, not merely cosmetic: Improving the quality of writing actually improves the quality of thought.
It is not easy today to capture the relationship between science and society. The days when modern science enjoyed a special status in Western societies are behind us. There was a time where a ‘social contract’ successfully ring-fenced the autonomy of the scientific enterprise against
The following material is addressed to readers who are already familiar with applied mathematics at the advanced undergraduate level or preferably higher; such as physics, chemistry, biology, geology, medicine,economics, sociology, engineering, operations research, etc.,where inference is needed.
A previous acquaintance with probability and statistics is not necessary; indeed, a certain amount of innocence in this area may be desirable, because there will be less to unlearn.
Inside our heads, weighing about 1.5 kg, is an astonishing living organ consisting of billions of tiny cells. It enables us to sense the world around us, to think and to talk.The human brain is the most complex organ of the body, and arguably the mostcomplex thing on earth. This booklet is an introduction for young students.
Science is a methodical approach to studying the natural
Neglect hitherto of the availability of astronomy for a laboratory course has mainly led to the preparation of this New Astronomy. Written purelywith a pedagogic purpose, insistence upon rightness of principles, no matterhow simple, has everywhere been preferred to display of precision in result. To instance a single example: although the pupil's equipment be but a
A First Course in General Relativity Second Edition
Protons, electrons, neutrons, neutrinos and even quarks are often featured in
This is a two-semester course in n-dimensional calculus with a review of the necessary linear algebra. It covers the derivative, the integral, and a variety of applications. An emphasis is made on the coordinate free, vector analysis.
Introductory Physics 1
This introductory electromagnetism and optics text is intended to be used in the second semester
Calculus Based Physicsis a two-volume introductory physics textbook complete with ancillary materials. It can be used as is or edited/modified by users. Ancillary materials include physics problems with screen-capture video solutions, Physics question slides, and on-line quizzes.
This book is intended for undergraduate students in Mechanical, Chemical, and Aeronautical Engineering.
The book contains chapters on Isentropic Flow (nozzle flow), Isothermal Nozzle, Shock wave and Oblique shocks, and Prandtl-Meyer flow as well chapters on Isothermal Flow, Fanno Flow, and Rayleigh Flow.
Classic kinetics (e.g. in chemistry) is based on the assumption that reactions take place in small vessels ... is often not justified. This book formulates a basis for a kinetics where the “mixing condition” is relaxed: the condition is qualitatively deleted – not merely neutralized by use of various approximations.
An examination of the benefits and potential dangers of the new technology revolution
The book is out-of-print. A scanned version (PDF format) may be downloaded for personal use.Molecular Cell Biology
A really nice book with a weird interface where you're required to type in a keyword search to access the chapters. Apparently there's no way to read it chapter by chapter.
In quantum computers we exploit quantum effects to compute in ways that are faster or more efficient than, or even impossible, on conventional computers. Quantum computers use a specific physical implementation to gain a computational advantage over conventional computers. Properties called superposition and entanglement may, in some cases, allow an exponential amount of parallelism. Also, special purpose machines like quantum cryptographic devices use entanglement and other peculiarities like quantum uncertainty.