Besides having cloud features, the data science and machine-learning platform should also run faster to provide accurate results. They can also share components of their work with their colleagues or collaborate with them securely on certain tasks. With the introduction of cloud-based platforms, data scientists can now work with their data on any Internet-enabled device. It is the joy of data scientists to use a data science and machine-learning platform that enables them to work both online and offline.
These tasks encompass visualization, interactive exploration, deployment, performance engineering data preparation and data access.
The platform needs to provide data scientists with all the support they need when carrying out data and analytics tasks. It should also provide these experts with an environment where they can incorporate the solutions into products and business processes. What a Good Data Science and Machine-Learning Platform Should HaveĪ good data science and machine-learning platform should offer data scientists the building blocks for creating a solution to a data science problem. They also target data-driven organizations that want to cut on the costs of hiring expert data scientists. These products are ideal for data scientists who recognize the benefits of integrating machine-learning capabilities in their tasks. There are several data science and machine-learning software products available for free and for purchase on the market today. The field of data science is experiencing great disruptions that are making the work of data scientists easier.
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