It has the power to enable machines to mimic human decision-making through mathematical models and advanced prediction statistics. Machine learning has a stringent focus on pattern recognition, predictive analytics, data mining and has a close association with big data and data analytics. Being a strong part of AI, it has a pool of algorithms and methods that connect the data depending upon the patterns and analytical methods.
Machine learning is a modern-day discipline that utilizes statistics, algorithms, probability to extract the best out of data and offer insightful information that can be leveraged to create intelligent applications. Before we explore the best programming language for machine learning and artificial intelligence, let us quickly understand the basics of machine learning, its sample application areas, and the companies using machine learning. There have been many programming languages for machine learning that are popular worldwide. Machine learning-based solutions are being adapted on an increasing spree.Īs a powerful science behind machines that can do human-based activities, machine learning focuses on the study of computing algorithms to make the system take decisions without writing manual code.Īs per the latest proven statistics, the machine learning market is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. Acting as a catalyst in speeding up performance and productivity, machine learning has been supporting many a business activity on a routine basis. In the data-driven era, artificial intelligence, and its powerful subset – machine learning has been the driving force behind numerous businesses.
“Machine learning will automate jobs that most people thought could only be done by people.” – Dave Waters
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