Machine Learning Operations - What is it and Why Do We Need It?
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the world of Machine Learning Operations (MLOps) in this insightful podcast episode featuring Niklas Kühl, an expert in applied AI and data science. Delve into the challenges of automating and operationalizing ML products, and understand why MLOps is crucial for successful industrial machine learning projects. Learn about Niklas' background in industrial engineering and his current roles in academia and industry. Discover key topics such as Twitter data scraping, NLP usage, consumer behavior prediction, and communication between management and ML systems. Gain valuable insights on budgeting ML products, defining MLOps, navigating its implementation, and measuring return on investment. Explore the concept of full-stack data scientists and how to define success in various data science projects. Engage with discussions on foundational models and get a glimpse into Niklas' day-to-day life in this comprehensive exploration of MLOps and its significance in the evolving landscape of machine learning. Read more