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MemberSeptember 3, 2021 at 10:28 am
Typical results from machine learning applications usually include web search results, real-time ads on web pages and mobile devices, email spam filtering, network intrusion detection, and pattern and image recognition. All these are the by-products of using machine learning to analyze massive volumes of data.
Traditionally, data analysis was trial and error-based, an approach that became increasingly impractical thanks to the rise of large, heterogeneous data sets. Machine learning provides smart alternatives for large-scale data analysis. Machine learning can produce accurate results and analysis by developing fast and efficient algorithms and data-driven models for real-time data processing.
Pro Tip: For more on Big Data and how it’s revolutionizing industries globally, check out our “What is Big Data?” article.
According to BusinessWorldIT, the global machine learning market will quadruple from USD 7.3 billion in 2020 to USD 30.6 billion by 2024. If this trend holds, then we will see a greater use of machine learning across a wide spectrum of industries worldwide. Machine learning is here to stay