Julien SIMON

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aws amazon web services cloud computing infrastructure machine learning deep learning artificial intelligence neural networks serverless devops data science containers docker open source iot internet of things big data analytics image processing virtualization information security automation data warehouse continuous integration hadoop databases spark storage security tensorflow lambda database scalability cloudformation mach distributed systems microkernel java networking compliance mqtt redshift amazon cryptography smartcards startups natural language processing ocr healthcare javascript python architecture optimization mysql migration arduino deployment performance isilon criteo robots unix linux mongodb scaling computer vision transformers hugging face automl automotive speech to text translation reinforcement learning project management information technology inspiration sage télécommunications recommendation forecast travel hospitality video kubernetes hpc fpga chatbots networks api oracle microsoft sql agile software development software testing agile lean startup data web development digital innovation disruption transformation business intelligence rds s3 infrastructur saas aldebaran robotics internet ecs java card cloud web services wap sim cards norma network protocols tribunix nosql lessons engineering cto

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Julien SIMON

An introduction to computer vision with Hugging Face

Reinventing Deep Learning  with Hugging Face Transformers

Building NLP applications with Transformers

Building Machine Learning Models Automatically (June 2020)

Starting your AI/ML project right (May 2020)

Scale Machine Learning from zero to millions of users (April 2020)

An Introduction to Generative Adversarial Networks (April 2020)

AIM410R1 Deep learning applications with TensorFlow, featuring Fannie Mae (December 2019)

AIM361 Optimizing machine learning models with Amazon SageMaker (December 2019)

AIM410R Deep Learning Applications with TensorFlow, featuring Mobileye (December 2019)

A pragmatic introduction to natural language processing models (October 2019)

Building smart applications with AWS AI services (October 2019)

Build, train and deploy ML models with SageMaker (October 2019)

The Future of AI (September 2019)

Building Machine Learning Inference Pipelines at Scale (July 2019)

Train and Deploy Machine Learning Workloads with AWS Container Services (July 2019))

Optimize your Machine Learning Workloads on AWS (July 2019)

Deep Learning on Amazon Sagemaker (July 2019)

Automate your Amazon SageMaker Workflows (July 2019)

Build, train and deploy ML models with Amazon SageMaker (May 2019)