Artificial intelligence and machine learning
This essay focuses on Artificial intelligence and machine learning. Artificial intelligence represents the next step in machine learning, in which an algorithm develops data-based intelligence and can even carry out essential tasks on its own.
Artificial intelligence and machine learning
The Army defines leadership as “the process of influencing people by providing purpose, direction, and motivation while operating to accomplish the mission and improving the organization” (Department of the Army, 2006, pages 1-2). The Air Force has a similar definition; “the art and science of influencing and directing people to accomplish the assigned mission” (Department of the Air Force, 2006, page 1). Regardless of which definition you employ, the essence of leadership is to influence or inspire others in order to achieve a common goal or objective. While the purpose has not changed, the manner in which leaders exercise leadership has. Some of the challenges military leaders face include; New Technology: it is often say that two of the most critical virtues of leadership are Presence and Expertise.
According to some historians, effective military leaders exercise presence on the battlefield. For example, Field Marshal Rommel was often at the front. General Patton was always visiting his forces closest to the fight. It can be argue, the closer they were to the fight the more efficient they became. However, today’s leader may lead forces that are over thousands of miles away, and exercising presence.
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Artificial intelligence and machine learning once represent the cutting edge of computer science. When these technologies were created in the last 20th century, they hardly had any applications and were, in fact, mostly academic. However, these technologies have gained applications over the years and reached ordinary people’s hands through their mobile phones.
Machine learning represents a computer science field in which an algorithm can predict future data based on previously generated data. Artificial intelligence represents the next step in machine learning, in which an algorithm develops data-based intelligence and can even carry out essential tasks on its own.
Both artificial intelligence and machine learning requires advanced knowledge of statistics. Statistics help you determine the results that your algorithm might throw up for a particular dataset, thus evolving it further. The proliferation of machine learning applications has meant that the number of jobs in this field has also grown.
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