In this article, we discussed the essential Chrome extensions for data scientists and machine learning engineers. Working in machine learning requires the use of Chrome, so these extensions are crucial for engineers and data scientists. Arxiv Vanity helps convert ArXiv files into HTML for easier reading. ML/AI Papers: Code Implementation Finder links up any ML or AI research paper no matter where you’re browsing from, while Open in Colab turns a GitHub repository into a .ipynb file. Instant Data Scraper provides ML engineers with the data they need to build algorithms.
AI Next is a leading AI and data science services provider, specializing in predictive modelling and analytics. With their deep expertise in Machine Learning (ML), Natural Language Processing (NLP), and Data Science, AI Next shapes how their clients utilize the power of AI and gain a competitive edge.
The article was written by Jeremy Jolley, a Data Scientist and Machine Learning Engineer at AI Next. Through his research, Jeremy discovers and develops ML solutions to solve a variety of complex problems. Additionally, he produces blog posts and other material that showcase the best practices of AI and ML. Jeremy is constantly on the lookout for new technologies to share with readers so they can stay well-informed on the latest advancements in the data science field.
