{"id":762,"date":"2018-06-28T03:14:27","date_gmt":"2018-06-28T00:14:27","guid":{"rendered":"http:\/\/kusuaks7\/?p=367"},"modified":"2025-12-02T07:40:43","modified_gmt":"2025-12-02T07:40:43","slug":"the-what-why-and-how-of-machine-learning-and-deep-learning","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/the-what-why-and-how-of-machine-learning-and-deep-learning\/","title":{"rendered":"The What, Why, and How of Machine Learning and Deep Learning"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tReady to learn Machine Learning? Browse courses<\/a>\u00a0like\u00a0Machine Learning Foundations: Supervised Learning<\/a> developed by industry thought leaders and Experfy in Harvard Innovation Lab.<\/em><\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tWith growing amounts of computational power, machine learning and deep learning are increasingly making their way into numerous sectors. They are widely used for recognizing objects, translating speech in real-time, determining potential outcomes, understanding consumer habits, making personalized recommendations, and a lot more. In fact, consumer market leaders such as Amazon, Netflix, Apple, Google, and Microsoft are all backed up by these technologies.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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What is Machine Learning?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tMachine learning combines the principles of computer science and statistics. It focuses on solving real-world problems with neural networks designed to mimic our decision-making. Machine learning engineers create statistical models used for making predictions and identifying patterns in data. Its main objective is to build algorithms that can receive input data and use statistics for prediction without being explicitly programmed.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tMachine learning uses algorithms to analyze data, learn from that data, and make informed decisions based on what it has learned. It\u00a0is employed in a range of computing tasks where designing and programming explicit algorithms with excellent performance are difficult or infeasible.\u00a0Thus, with the help of machine learning, software applications can become more accurate in predicting outcomes, automatically recognizing unknown patterns, obtaining deep insights, and creating high performing predictive models from data.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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How companies leverage machine learning<\/b><\/h3><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tOn the whole, machine learning\u00a0enables companies to optimize their processes and increase customer satisfaction.\u00a0It has a\u00a0lot of applications ranging from price prediction and service automation to detection of fraudulent credit card transactions or network intruders. Among the most powerful\u00a0machine learning applications<\/strong>\u00a0in a business setting are:\n