Keep Track of your Experiments with Hydra
Configure hyperparameters using YAML files and speed up your research!
Configure hyperparameters using YAML files and speed up your research!
Jupyter Book lets you build an online book using a collection of Jupyter Notebooks and Markdown files. Its output is similar to the excellent Bookdown tool, and adds extra functionality for people running a Jupyter stack.
This Humans of Machine Learning interview covers Emil Wallner and his hero’s journey, self-taught approach to education, experience with AI, and path to Google.
Artificial Intelligence (AI) and Machine Learning (ML) have become transformative technologies across various industries. To keep up with the fast-paced advancements in the field, professionals and enthusiasts alike seek comprehensive training courses that provide in-depth knowledge and hands-on experience. In this article, we have curated a list of 100 training courses on AI and ML, covering various topics, skill levels, and application areas. Whether you are a beginner or an experienced practitioner, these courses will help you stay at the forefront of AI and ML developments.
Data science is an ever-evolving field that relies heavily on data tools and libraries to process, analyze, and visualize massive datasets. As the demand for data-driven insights continues to grow, data scientists need powerful tools and libraries that can handle complex computations efficiently. In this article, we will explore the top 50 data tools and libraries for data science, based on information from various sources such as Analytics Insight, Simplilearn, and DataCamp.
Amit Kumar, a software engineer at Quansight, will discuss how Nebari, an all-in-one development and experimentation platform, will help teams work more efficiently and collaboratively.