Machine Learning in the Enterprise

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Machine Learning in the Enterprise

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago
Skills: ML Pipelines70%

Key Takeaways

Implements machine learning workflows in the enterprise using real-world case studies

Original Description

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Probabilistic Graph Neural Inference for bio-inspired soft robotics maintenance with embodied agent feedback loops
Learn to apply probabilistic graph neural inference for bio-inspired soft robotics maintenance using embodied agent feedback loops, enhancing robot reliability and autonomy
Dev.to AI
📰
Why Data Structures Still Matter When You're Doing Machine Learning
Learn why data structures are crucial for machine learning performance and efficiency, beyond just interview prep
Dev.to · Ardhansu Das
📰
Stop Feeding FX Bots Price Data Only: Add a Macro Risk Gate in Python
Learn to add a macro risk gate to your FX bots in Python to avoid trading during high-risk events
Dev.to · Robert Tidball
📰
Human-in-the-Loop: Di Titik Mana Otomatisasi Harus Berhenti
Learn when to limit automation in machine learning systems to avoid risks, and why human-in-the-loop is crucial
Medium · Machine Learning
Up next
Dropout in Deep Learning
AnuTech-CH
Watch →