Machine learning as a service on various cloud platforms
Introduction Machine Learning helps users make predictions and develop algorithms that can automatically learn by using historical data. However, various machine learning algorithms such as Linear Regression, Logistic Regression, SVM, Decision Tree, Naïve Bayes, K-Means, random forest, Gradient Boosting algorithms , etc., require a massive amount of storage that become pretty challenging for a data scientist as well as machine learning professionals. Cloud computing becomes a game-changer for deploying machine learning models in such situations. Cloud computing helps to enhance and expand machine learning applications. The combination of machine learning and cloud computing is also known as intelligent Cloud . Machine learning is relatively new , but cloud computing is an emerging technology. Although both technologies are crucial to a company's development, their combined power is greater. While cloud computing offers storage and security to access these ap