{"id":252545,"date":"2023-09-01T06:26:56","date_gmt":"2023-09-01T06:26:56","guid":{"rendered":"https:\/\/imarticus.org\/?p=252545"},"modified":"2024-04-05T10:30:02","modified_gmt":"2024-04-05T10:30:02","slug":"machine-learning-tools-every-data-scientist-must-know","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/machine-learning-tools-every-data-scientist-must-know\/","title":{"rendered":"Machine Learning Tools Every Data Scientist Must Know"},"content":{"rendered":"

Machine learning is one of the fastest-growing technologies that has made lives easier with its ability to imitate human learning. It is a part of artificial intelligence that helps analyse data, build models and make forecasts. Machine learning\u2019s popularity has spread across industries making it an integral part of most. With its ever-growing demand, professionals and students alike, seek a <\/span>data science and machine learning course<\/span> to build and secure a successful career in the field.\u00a0<\/span><\/p>\n

\"Data<\/p>\n

Machine learning models are extremely useful in today’s technologically driven world. Knowledge of machine learning tools will help professionals arrange data, improve and discover new data models and create algorithms. A <\/span>data science and machine learning course<\/span> also allows professionals to <\/span>learn data mining<\/span><\/a>.<\/span><\/p>\n

Read on to learn about the popular machine learning tools a data scientist must know about.<\/span><\/p>\n

Machine learning tools<\/strong><\/h2>\n

The following are the most popular and useful ML tools:<\/span><\/p>\n

TensorFlow<\/strong><\/h3>\n

It is one of the most extensively used open-source machine learning tools for developing deep learning models. Its popularity is because of a dynamic library, tools and resources that help deal with large amounts of data. It allows data scientists to create machine learning applications and build effective data models.<\/span><\/p>\n

TensorFlow has the following features:<\/strong><\/p>\n