Building a computer can be a very rewarding experience. You can learn a lot about computer hardware by building a computer. Aside from that, you get a totally personalized computer that no OEM (Original Equipment Manufacturer) could match, and there is also the opportunity to save a lot of money in the process. The only downside is that you won't have any technical support number to ring, or any centralized warranty service (each part will have its own warranty/return policy), so there may be a chance that you will have to pay more for service (if you don't repair yourself). So now you've been sold on the merits, read on to find out how...
From buying and selling PC hardware to product development and selling services, "Start Your Own Computer Business: The Unembellished Guide" offers a realistic picture of making it on your own. Bestselling author, Morris Rosenthal, has 15 years of experience in the computer business, building and repairing thousands of PCs and helping hundreds of customers. The book mixes practical advice and cautions with real-world anecdotes of successes and failures. Dollars and cents play a prominent role in the book, as Rosenthal stresses that the real challenge of succeeding in the computer business is the business part of the equation. Managing employees, inventory and scarce financial resources are covered, along with how to remain sane and when to quit. The book is illustrated with a series of original cartoons on the computer business subject.
Building a computer is much easier than most people realise. The components are relatively inexpensive, easily available and the actual assembly requires only screwdrivers, small spanners and a pair of pliers. This book will enable you to assemble your own PC with the minimum of problems.
In clear, easy-to-grasp language, the author covers many of the topics that you will need to know in order to launch and run a successful business venture.
Computer Vision: A Modern Approach, 2e, is appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.
This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods
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