By Gabrielle Button at November 05 2018 09:56:35
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 :
Multiple inputs to the process exist : Some of them would be competition, lifecycle stage of the market, brand image, budget, etc... ; Complex decisions are made : There are many possible ways to achieve the process objectives (reach planned sales, leverage brand image, etc...) ; Each decision implies different levels of risk and potential benefits : It is the responsibility of the worker to choose the best one (low price strategy, aggressive advertising campaign, etc...) ; There are three main characteristics that make knowledge processes different from highly structured processes: Focus is on communication instead of automation.
It teaches you the skills to become a technical writer in the shortest time frame. You'll learn to create manuals, procedures, tutorials, processes, proposals, spec sheets and other documents that businesses need. It shows you how to market yourself to clients so you can start your income stream as soon as possible. In fact, you'll get a complete marketing toolkit which has templates and technical writing job sites to get started immediately! You can download two sample lessons by clicking the link below. This could be your chance to create a prosperous future.
Many scientists remain doubtful that true AI can ever be developed. The operation of the human mind is still little understood, and computer design may remain essentially incapable of analogously duplicating those unknown, complex processes. Various routes are being used in the effort to reach the goal of true AI. One approach is to apply the concept of parallel processing-interlinked and concurrent computer operations. Another is to create networks of experimental computer chips, called silicon neurons, that mimic data-processing functions of brain cells. Using analog technology, the transistors in these chips emulate nerve-cell membranes in order to operate at the speed of neurons.
They are more difficult to implement through discipline than administrative human-centric processes (although some discipline is needed). It is better to focus on obtaining buy-in from the people affected by the processes through early involvement, communication and expectations management. It is a known fact that knowledge workers are reluctant to change their habits. Some say knowledge workers don't like following procedures because they feel it limits their creativity; but most of the time they will be happy to follow a procedure as long as they see value in it, perceiving that it helps them work better and produce a better process output.
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.