Machine Learning
Santhiya Rangaraj
Innovative design thinker |Content writer|Driving innovation with dedication one line of code at a time|Html|Css|javascript | UI/UX designer|Rotaract |Campus ambassador |
Machine learning is a branch of?artificial intelligence (AI)?and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
IBM has a rich?history?with machine learning. One of its own, Arthur Samuel, is credited for coining the term, “machine learning” with his?research?(link resides outside ibm.com)?around the game of checkers. Robert Nealey, the self-proclaimed checkers master, played the game on an IBM 7094 computer in 1962, and he lost to the computer. Compared to what can be done today, this feat seems trivial, but it’s considered a major milestone in the field of artificial intelligence.
Over the last couple of decades, the technological advances in storage and processing power have enabled some innovative products based on machine learning, such as Netflix’s recommendation engine and self-driving cars.
Your clarity in defining high income skills is impressive, making it easier for others to understand the concept. Consider exploring and sharing insights on how to identify which high-income skill is most in-demand or aligns with one's passion to add more value. Do you have a vision of how mastering a specific high income skill could shape your career path? Networking with others who share similar goals can also provide valuable opportunities and perspectives. What kinds of high income skills are you most interested in pursuing, and why do they appeal to you?