Diving deep in the development of Machine Learning.

Over the past few years, there has been an incredible shift towards technology. Major companies have increasingly reoriented themselves around technologies such as artificial intelligence, machine learning and deep learning. While these technologies have garnered a lot of attention in recent years, they have been raved about as the most promising tech reinvigorating innovations across various range of business functions.

Machine learning and deep learning typically are forms of AI, but both have unique capabilities in terms of delivering services and benefits to the end-user. Undeniably, while machine learning had a vast history long before deep learning, researchers and service provider companies were making use of ML algorithms to build a variety of models to improve statistics, simplify speech and envisage risk, among other applications.

Machine learning typically simplifies a computer’s ability to learn and essentially train itself in order to evolve as an effective tool to new and ever-changing data landscape. It has significantly advanced over the years by its ability to evaluate complex, sophisticated and big data.

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