By Jett Alcock at October 22 2018 02:19:06
According to the U.S. Department of Labor, the average salary for technical writers is $60,380. Freelance technical writers can make from $30 to $70 per hour. The field of technical writing is like a golden city. It's filled with wealth, rewards and opportunities. After learning technical writing you can branch out into business writing, marketing writing and communications writing. All of these can become additional income streams. But to succeed you must learn how to market yourself to clients. You have to prove to them that you are an invaluable asset. That's where ProTech - Your Fast Track to Becoming a Successful Technical Writer can help. It's a technical writing course that does two equally important things :
In all cases, however, the task that the algorithm is to accomplish must be definable. That is, the definition may involve mathematical or logic terms or a compilation of data or written instructions, but the task itself must be one that can be stated in some way. In terms of ordinary computer usage, this means that algorithms must be programmable, even if the tasks themselves turn out to have no solution. In computational devices with a built-in microcomputer logic, this logic is a form of algorithm. As computers increase in complexity, more and more software-program algorithms are taking the form of what is called hard software.
In the last years some organizations have emerged with the aim of creating professional communities around specific disciplines such as Software Development (SEI, ESI, etc...), Project Management (PMI), Business Process Management (BPMI), IT Service Management (ITSMF), etc... One of the objectives of these groups is to develop a body of knowledge that compiles the discipline's best practices in the form of reference frameworks, methodologies and maturity models. These assets should be considered by any organization interested in knowledge process management.
The possibility of developing some such artifact has intrigued human beings since ancient times. With the growth of modern science, the search for AI has taken two major directions: psychological and physiological research into the nature of human thought, and the technological development of increasingly sophisticated computing systems. In the latter sense, the term AI has been applied to computer systems and programs capable of performing tasks more complex than straightforward programming, although still far from the realm of actual thought. The most important fields of research in this area are information processing, pattern recognition, game-playing computers, and applied fields such as medical diagnosis.