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Deeplearning4j: Deep learning and ETL for the JVM

Aimed at integrating models with Java applications, Deeplearning4j offers a stack of components for building JVM-based applications that incorporate AI

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Learn PyTorch: The best free online courses and tutorials

Look no further than these excellent free resources to master the development of deep learning models using PyTorch

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Kaggle: Where data scientists learn and compete

By hosting datasets, notebooks, and competitions, Kaggle helps data scientists discover how to build better machine learning models

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MLflow is now a Linux Foundation project

Databricks framework for managing machine learning projects will go to an open governance model

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Data science during COVID-19: Some reassembly required

Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift

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Quantum AI is still years from enterprise prime time

Quantum computing’s greatest potential for widespread adoption during this decade is in artificial intelligence

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Spell machine learning platform goes on-prem

An end-to-end machine learning platform designed for ease of use, Spell now offers incarnations for both public cloud and data center deployment

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The best free data science courses during quarantine

6 excellent online courses and one book to learn statistics, machine learning, and deep learning while you’re locked in the house

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AWS unveils open source model server for PyTorch

Intended to ease production deployments of PyTorch models, TorchServe supports multi-model serving and model versioning for A/B testing

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GPipe and PipeDream: Scaling AI training in every direction

New frameworks Google GPipe and Microsoft PipeDream join Uber Horovod in distributed training for deep learning

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PyTorch 1.5 adds C++ power, distributed training

The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once

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Checking AI bias is a job for the humans

By pre-processing or post-processing data, or even setting datasets to expire, humans can step in to correct machine learning models

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Google unveils TensorFlow tool for making mobile-ready models

TensorFlow Lite Model Maker shrinks TensorFlow models to more efficiently serve predictions on mobile devices

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Is your data lake open enough? What to watch out for

Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs

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Review: Amazon SageMaker plays catch-up

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds

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How AI helped Domino’s improve pizza delivery

Sharing a container environment and Nvidia GPU server has enabled Domino’s data scientists to create more complex and accurate models to improve store and delivery operations

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TensorFlow deepens its advantages in the AI modeling wars

Despite complaints about its complexity, TensorFlow supports every AI development, training, and deployment scenario you can imagine

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Explaining machine learning models to the business

How to create summaries of machine learning system decisions that business decision makers can understand

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