Author Archives: 365Data Science

Also: 5 Ways to Detect #Outliers That Every #DataScientist Should Know #Python Code; The State of AI and Machine Learning 2020 – Just Released; Top 20 Latest Research Problems in #BigData and #DataScience; Python Libraries for Interpretable #MachineLearning #KDN Originally from KDnuggets https://ift.tt/2AFfLJ1 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-jul-01-07-top-20-latest-research-problems-in-bigdata-and-datascience

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Originally from KDnuggets https://ift.tt/2ZSAul4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/math-for-programmers5353356

In this blog post, learn how to build a spam filter using Python and the multinomial Naive Bayes algorithm, with a goal of classifying messages with a greater than 80% accuracy. Originally from KDnuggets https://ift.tt/3e9cVd1 source https://365datascience.weebly.com/the-best-data-science-blog-2020/spam-filter-in-python-naive-bayes-from-scratch

Is Your Machine Learning Review Tool Accurately Tagging Your Documents? Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/benchmarking-tar-566facb6b8f5?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/benchmarking-tar

Source From search engines and sentiment analysis to virtual assistants and chatbots, there are numerous areas of research within machine learning that require text annotation tools and services. In the AI research and development industries, annotated data is gold. Large quantities of high-quality annotated data is a goldmine. There are a variety of text annotationContinue reading “10 Best Text Annotation Services and Tools”

Photo by Tianyi Ma on Unsplash Featuring data engineering with SQL, Microsoft’s Build Conference and some cutting-edge Image Segmentation research. Welcome to My Week in AI! Each week this blog will have the following parts: An update on my work in AI An overview of an exciting and emerging piece of AI research Progress Report Refreshing SQL skills ThisContinue reading “My Week in AI: Part 1”

While machine learning is impacting organizations around the world, some are driving forward the real-world applications of innovative AI. Check out these interesting companies to watch for exciting new progress this year. Originally from KDnuggets https://ift.tt/3iH8tps source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-innovative-ai-software-companies-you-should-know

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT. Originally from KDnuggets https://ift.tt/38AHuqO source https://365datascience.weebly.com/the-best-data-science-blog-2020/free-mit-courses-on-calculus-the-key-to-understanding-deep-learning

Speed up your Numpy and Pandas with NumExpr Package; A Layman’s Guide to Data Science. Part 3: Data Science Workflow; Getting Started with TensorFlow 2; Feature Engineering in SQL and Python: A Hybrid Approach; Deploy Machine Learning Pipeline on AWS Fargate Originally from KDnuggets https://ift.tt/3iDxh1w source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n26-jul-8-speed-up-your-numpy-and-pandas-a-laymans-guide-to-data-science-getting-started-with-tensorflow-2

Uber machine learning runtime Michelangelo has been in operation for a few years. What has the Uber team learned? Originally from KDnuggets https://ift.tt/3fkPxuJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/some-things-uber-learned-from-running-machine-learning-at-scale