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So-called machine learning platforms facilitate and accelerate the development of machine learning models by providing functionality that combines many necessary activities for model development ...
The first step to a successful ML project is to understand that these projects require different processes, terminology, workflows, and tools than those needed by traditional development.
From deepfakes to natural language processing and more, the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.
Explore the five major platforms for developing machine learning models, their features, and how they support AI advancements.
The Deep Learning Toolbox, part of MathWorks’ MATLAB 2018b release, targets the creation of machine-learning applications.
The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster.
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