Effective Load Balancing with Ray on Amazon SageMaker | by Chaim Rand | Sep, 2023
A method for increasing DNN training efficiency and reducing training costs Photo by Fineas Anton on Unsplash In previous posts
Machine Learning with Expert Models: A Primer | by Samuel Flender | Sep, 2023
How a decades-old idea enables training outrageously large neural networks today (Pexels) Expert models are one of the most useful
CRM Pricing Guide in 2023
Understanding the cost of Customer Relationship Management (CRM) software is a critical factor in the decision-making process for most businesses.
A Guide to Real-World Data Collection for Machine Learning | by Leah Berg and Ray McLendon | Sep, 2023
5 Actionable Strategies to Optimize Your Data Collection Process Photo by Henrik Dønnestad on Unsplash Whether you’re brand new to
Capabilities & Use Cases in 2023
Procure to Pay (P2P) starts from vendor selection to finalizing payments in accounts payable. Every business has to have a
Probabilistic ML with Quantile Matching: an Example with Python | by Davide Burba | Sep, 2023
A little-known technique for turning quantile regression predictions into a probability distribution. “Quantile Matching”, by Giulia Roggia. Used with permission.
Training Soft Skills in Data Science with Real-Life Simulations: A Role-Playing Dual-Chatbot Approach | by Shuai Guo | Sep, 2023
A complete LLM project walk-through with code implementation Photo by Headway on Unsplash When I was learning data science and
- September 4, 2023
Benefits, use cases & best practices
Gartner predicts that businesses will apply analytics and automation to IT operations by 30%. One way to achieve this is
New ChatGPT Prompt Engineering Technique: Program Simulation | by Giuseppe Scalamogna | Sep, 2023
Source: Image by Author and generated with MidJourney The world of prompt engineering is fascinating on various levels and there’s