Category: Data Science

Author: KDnuggets Using AIMET, developers can incorporate advanced model compression and quantization algorithms into their PyTorch and TensorFlow model-building pipelines for automated post-training optimization, as […] Read More

Author: KDnuggets Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; The Most Popular Intro to Programming Course From Harvard […] Read More

Author: Nisha Arya Deep dive into Logistic Regression with practical examples. Go to Source

Author: Benjamin Obi Tayo, Ph.D. Several factors must be taken into consideration when designing experiments for data collection. Go to Source

Author: KDnuggets The most ambitious Enterprise MLOps conference is coming to New York City on May 5-6, bringing the data science community together in-person for […] Read More

Author: KDnuggets Let’s take a quick look at some of the key highlights and insights from a recent webinar, Accelerating Distributed AI Applications, with Ziad […] Read More

Author: KDnuggets The 100 page book on stochastic processes. Published in 2022. This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students […] Read More

Author: KDnuggets Also: Decision Tree Algorithm, Explained; Linear vs Logistic Regression: A Succinct Explanation; Best Data Science Books for Beginners; Top Programming Languages and Their […] Read More

Author: Mihail Eric In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where […] Read More

Author: KDnuggets NVIDIA introduces over 60 updates to its CUDA-X libraries, tools and technologies. Go to Source