Dato graphlab2/20/2023 ![]() ![]() Apple Music leveraging ML to help you discover amazing new artists.Siri becoming more intelligent to predict your needs.As an organization which prides itself on customers’ data privacy, the focus firmly sits on leveraging what Apple knows about users of its products to better the general user experience, including: Apple’s strategy, however, is quite different. GPU Support: You can install Graphlab Create with GPU Acceleration, which can make it insanely fast for certain tasksĪpple is quite serious about building out its Machine Learning (ML) capabilities, as it seeks to compete within the lucrative “big data” domain with other giants like Google and Facebook.GraphLab Create is able to scale out-of-core, and many of the multi-threaded implementations take advantage of multiple cores on the machine. Scalable: Scikit-learn implementations are executed ONLY in memory.Graphlab Create is commercial software with dedicated 24/7 support.More Algorithms: Scikit-learn has more algorithms compared to Graphlab. ![]() ![]() Support for Python 3: Scikit-learn supports Python 3 while Graphlab Create is only compatible with Python 2.Open Source: Scikit-learn is an open source library with over 500 contributors and strong support.The general comparison between TC and SciKit-Learn’s Python-based ML libraries - for now - looks like this: Advantages of Scikit-learn: That fact alone could be the perfect reason to move your firm’s modeling to a Turi environment. However, if you have a highly parallelizable task, and are running on AWS P2 or P3 instances, or you have a powerhouse Cuda setup in the office, we’re talking orders of magnitude faster with TC. If you’re fitting models or churning data using just the CPU, differences are small, and will come down to code optimization, slightly different solver approaches, etc. One common audience question related to performance compared to SciKit-Learn. ![]()
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