Published Aug 8, 2017
Web Scale Engineering for Machine Learning with Sharath Rao - #40
Dive into the intricate evolution of recommendation systems with Sharath Rao as he examines the intersection of machine learning and software engineering, emphasizing the necessity of specialization and collaborative roles in data science, alongside tackling design challenges for scalable data products.
Topics covered
Popular Clips
Questions from this episode
- Asked by 29 people
Episode Highlights
Related Episodes
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Answers 383 questions
Systems and Software for Machine Learning at Scale with Jeff Dean - #124
Answers 383 questions
Engineering A ML-Powered Developer-First Search Engine with Richard Socher - #582
Answers 383 questions
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Answers 383 questions
AI Agents for Data Analysis with Shreya Shankar - 703
Answers 383 questions
Interactive Machine Learning Systems with Alekh Agarwal - #17
Answers 383 questions
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
Answers 383 questions
AI for Enterprise Decisioning at Scale with Rob Walker - #573
Answers 383 questions
Automated Machine Learning with Erez Barak - #323
Answers 383 questions
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
Answers 383 questions
Agile Data Science with Sarah Aerni - #143
Answers 383 questions
Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
Answers 383 questions
