Machine learning
Machine
Learning is a subset of AI. With Machine Learning, computers are
programmed to learn to do something they are not programmed to do: they
learn by discovering patterns and insights from data. In general, we
have two types of learning, supervised and unsupervised.
While
Machine Learning is a subset of AI, we also have subsets within the
domain of Machine Learning, including neural networks, natural language
processing (NLP), and deep learning. Each of these subsets offers an
opportunity for specializing in a career field that will only grow.
Machine
Learning is rapidly being deployed in all kinds of industries, creating
a huge demand for skilled professionals. The Machine Learning market is
expected to grow to $8.81 billion by 2022. Machine Learning applications are
used for data analytics, data mining and pattern recognition. On the
consumer end, Machine Learning powers web search results, real-time ads
and network intrusion detection, to name only a few of the many tasks it
can do.
In addition to completing countless tasks on our behalf, it is generating jobs. Machine Learning jobs rank among the top emerging jobs on LinkedIn, with almost 2,000 job listings posted. And these jobs pay well: In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists
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