Category: Data Science

Author: ajit jaokar The AI Edge Engineer: Extending the power of CI/CD to Edge devices using containers Background At the Artificial Intelligence – Cloud and […] Read More

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Stephanie Glen This simple picture shows the differences between descriptive statistics and Inferential statistics.  More information about Descriptive and Inferential Statistics: What is “Descriptive […] Read More

Author: mtdearing Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch […] Read More

Author: Vincent Granville I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and […] Read More

Author: Matt Mayo Editor Check out this eBook, How to Enhance Privacy in Data Science, to equip yourself with the tools to enhance privacy in […] Read More

Author: Olha Zhydik Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognise, localise and segment […] Read More

Author: Matt Mayo Editor Also: For data pros only – An SQL Query walks into a bar and sees two tables; Deep Learning for NLP: […] Read More

Author: ajit jaokar The use of training, validation and test datasets is common but not easily understood.    In this post, I attempt to clarify […] Read More

Author: Matt Mayo Editor Crunch is coming to Budapest, Hungary on 16-18 Oct. Use code KDNuggets to save on Data Science, Data Engineering, or BI […] Read More