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Machine Learning Managed Services
TensorFlow is open-source software for numerical computation using data-flow graphs.TensorFlow is cross-platform. It runs on nearly everything, GPUs and CPUs, including mobile and embedded platforms and even tensors processing units, which are specialized hardware to do the tensor math. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Jupyter Notebook can be used for Data Cleaning, Data Transformation, Numerical Simulation, Statistical Modeling, Data Visualization, Machine Learning, and more.
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GPU/CPU computing Solutions
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Statistical Distribution
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High-level Estimators
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End-to-End ML Workflow Lifecycle Management
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Pipeline automation Abilities
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Machine Learning and Edge Computing
Statistical Distribution
Statistical distributions functions are provided by TensorFlow, including but not limited to distributions like Bernoulli, Beta, Chi2, Dirichlet, Gamma, Uniform, etc.
High-level Estimators
TF Learn is a top-level module inside TensorFlow that provides machine learning algorithms inside its estimator's module.
Streamlining Performance
TensorFlow has high standards for measurement and transparency. Optimization can often be model-specific, but some general guidelines can often make a big difference.
Manage ML Workloads
Manage and Optimize your Machine Learning and Artificial Intelligence workloads for Performance and Deployment.
Big Data Services
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