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Statistics.comX: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary ...

Statistics.comX: Applied Data Science Ethics

AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and ...

Statistics.comX: MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform

Most data science projects fail. There are various reasons why, but one of the primary ...

GoogleCloud: Modernizing Data Lakes and Data Warehouses with Google Cloud

This course is intended for developers who are responsible for: Querying datasets, ...

Statistics.comX: Principles of Data Science Ethics

Concern about the harmful effects of machine learning algorithms and AI models (bias and ...

Statistics.comX: MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform

Most data science projects fail. There are various reasons why, but one of the primary ...

UTAustinX: LAFF-On Programming for High Performance

Learn to squeeze high performance out of modern CPUs.

Statistics.comX: MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning

Most data science projects fail. There are various reasons why, but one of the primary ...

MichiganX: Data Science Ethics

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic ...

ChalmersX: Road Traffic Safety in Automotive Engineering

Learn the fundamentals of passive and active safety in automotive engineering

Statistics.comX: MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary ...

UMontrealX: Deep Learning Essentials

Do you want to learn how machines can learn tasks we thought only human brains could ...
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