Author Archives: 365Data Science

Take part in KDnuggets latest survey to have your voice heard, and let the community know what the largest dataset size you have worked with is. Originally from KDnuggets https://ift.tt/2BQ05TE source https://365datascience.weebly.com/the-best-data-science-blog-2020/new-poll-what-was-the-largest-dataset-you-analyzed-data-mined

Source Today, the surface area for testing software and quality assurance is not as wide. Applications interact with each other through a number of APIs, legacy systems, and an increase in complexity from one day to the next. However, the increased complexity leads to a fair share of challenges that can be overcome by machine-basedContinue reading “Artificial Intelligence in Testing”

There are more images in this world, outside from natural images. This is another research topic, how can a model understand advertising… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/cvpr-automatic-understanding-of-image-and-video-advertisements-49f362a88624?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/-cvpr-automatic-understanding-of-image-and-video-advertisements

Source pixolution flow 4 — Our New Visual Search Engine We’re thrilled to introduce our new major release today: pixolution flow 4. This is a complete rewrite of our visual search engine, with massive improvements and radical innovations. In this article you’ll learn how all core functionalities have been improved in their performance, how our technology can adaptContinue reading “pixolution flow 4Our New Visual Search Engine”

Recently, OpenAI announced a new successor to their language model, GPT-3, that is now the largest model trained so far with 175 billion parameters. Training a language model this large has its merits and limitations, so this article covers some of its most interesting and important aspects. Originally from KDnuggets https://ift.tt/3f7TL8q source https://365datascience.weebly.com/the-best-data-science-blog-2020/gpt-3-a-giant-step-for-deep-learning-and-nlp

To highlight some of the work being done in the field, here are five essential papers on sentiment analysis and sentiment classification. Originally from KDnuggets https://ift.tt/2MK5NZu source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-essential-papers-on-sentiment-analysis

Technical Debt in software development is pervasive. With machine learning engineering maturing, this classic trouble is unsurprisingly rearing its ugly head. These 25 best practices, first described in 2015 and promptly overshadowed by shiny new ML techniques, are updated for 2020 and ready for you to follow — and lead the way to better MLContinue reading “Nitpicking Machine Learning Technical Debt”

This free eBook is an introduction to natural language processing, and to NLTK, one of the most prevalent Python NLP libraries. Originally from KDnuggets https://ift.tt/2YbSAxV source https://365datascience.weebly.com/the-best-data-science-blog-2020/natural-language-processing-with-python-the-free-ebook

Also: Deep Learning for Detecting Pneumonia from X-ray Images; From Languages to Information: Another Great NLP Course from Stanford; Skills to Build for Data Engineering; If you had to start statistics all over again, where would you start? Originally from KDnuggets https://ift.tt/3h8QV4D source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-jun-1-7-dont-democratize-data-science-deep-learning-for-coders-with-fastai-and-pytorch-the-free-ebook

Source This article is the beginning of the series on RNN and LSTM and in this one, I’ll go through the basics of recurrent neural network. The only prerequisite of this article is that you should have some idea about the neural network. What is a Recurrent Neural Network? There are very different types of raw data availableContinue reading “Introduction to RNN and LSTM(Part-1)”