Robert Crowe

A data scientist and TensorFlow addict, Robert has a passion for helping developers quickly learn what they need to be productive. Since the very early days, he’s used TensorFlow and is excited about how rapidly it's evolving to become even better. Before moving to data science, Robert led software engineering teams for large and small companies, focusing on providing clean, elegant solutions for well-defined needs.

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Machine Learning Modeling Pipelines in Production (Coursera) Coursera
DeepLearning.AI

Machine Learning Modeling Pipelines in Production (Coursera)

Data Science

Dive deep into the world of Machine Learning Modeling Pipelines in Production. This course will guide you through building robust models for various serving environments, optimizing resource management, and using analytics tools to ensure your models perform optimally both offline and online. Explore techniques to tackle model fairness, explainability, and performance bottlenecks.

Jul 15th 2024
5-12 Weeks
Machine Learning Performance Analysis Fairness
Details
Machine Learning Data Lifecycle in Production (Coursera) Coursera
DeepLearning.AI

Machine Learning Data Lifecycle in Production (Coursera)

Data Science

Embark on a journey into the heart of machine learning production with our 'Machine Learning Data Lifecycle in Production' course. Designed for those looking to refine their skills in data engineering and management, this course will guide you through building robust data pipelines, implementing effective feature engineering techniques using TensorFlow Extended (TFX), and establishing a reliable data lifecycle framework. By the end of this course, you'll be equipped with the knowledge and tools necessary to handle datasets from gathering to validation, ensuring high-quality, predictive insights.

Jul 8th 2024
4 Weeks
ML Data Machine Learning
Details
Deploying Machine Learning Models in Production (Coursera) Coursera
DeepLearning.AI

Deploying Machine Learning Models in Production (Coursera)

Data Science

In this comprehensive course, you'll delve into the critical steps required to deploy machine learning models successfully. From setting up scalable hardware infrastructure to automating workflows and employing progressive delivery methods, this program equips you with the skills needed to make your ML models available to end-users efficiently and reliably.

May 8th 2024
3 Weeks
Machine Learning Monitoring TensorFlow
Details
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