Author Archives: 365Data Science

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome. Originally from KDnuggets https://ift.tt/2CJro2K source https://365datascience.weebly.com/the-best-data-science-blog-2020/easy-guide-to-data-preprocessing-in-python

In this post, we’ll walk through using googleAnalyticsR for better blog post analysis, so you can do my better blog post analysis for yourself! Originally from KDnuggets https://ift.tt/2BpHfmi source https://365datascience.weebly.com/the-best-data-science-blog-2020/better-blog-post-analysis-with-googleanalyticsr

Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about recommender systems and the ways they are used. Originally from KDnuggets https://ift.tt/2P2RaSh source https://365datascience.weebly.com/the-best-data-science-blog-2020/recommender-systems-in-a-nutshell

Source Create your Own Face Recognition Authentication System using Python, Computer Vision, and Machine Learning From Scratch !! For Machine Learning Approach Scroll to The End of the Page. Creating a Basic Face Lock isn’t a Rocket Science when you have Python’s package openCV with you. I will suggest you, use Jupyter Notebook for this project https://jupyter.org/install — link to install Jupyter NotebookContinue reading “Create your Own Face Recognition Authentication System using Python Computer Vision and Machine”

Source Face Presentation Attack Detection a.k.a Face Anti-spoofing Face recognition is one of the most convenient biometric for access control. The wide popularity of face recognition can be attributed to ease of acquisition with cheap sensors, contact-less nature, high accuracy of algorithms, and so on. While everything is well and good there, the vulnerability toContinue reading “Face Presentation Attack Detection a.k.a Face Antispoofing”

Source Rule-based systems and machine learning models are widely utilized to make conclusions from data. Both of these approaches have advantages and disadvantages. Several corporations are implementing and exploring tasks related to artificial intelligence to automate business processes, upgrade product improvement and to enhance market experiences. This blog provides some of the crucial points thatContinue reading “The Key Differences Between Rule-Based AI And Machine Learning”

Data Mechanics is developing a free monitoring UI tool for Apache Spark to replace the Spark UI with a better UX, new metrics, and automated performance recommendations. Preview these high-level feedback features, and consider trying it out to support its first release. Originally from KDnuggets https://ift.tt/39jAxuM source https://365datascience.weebly.com/the-best-data-science-blog-2020/monitoring-apache-spark-were-building-a-better-spark-ui

This article provides a glimpse into the available tools to work with CSV files and describes how kdb+ and its query language q raise CSV processing to a new level of performance and simplicity. Originally from KDnuggets https://ift.tt/2ORwSL8 source https://365datascience.weebly.com/the-best-data-science-blog-2020/powerful-csv-processing-with-kdb

Also: 5 Obscure #Python Libraries Every Data Scientist Should Know; 9 Skills That Separate Beginners From Intermediate #Python Programmers; Don’t miss your copy of Learning Spark, 2nd Edition @databricks ; How Much Math do you need in Data Science? Originally from KDnuggets https://ift.tt/32Mb0cm source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-jul-15-21-big-list-of-awesome-machinelearning-and-ai-courses

Do you have an NLP System in production today? Share your challenges and tools and join us for free at the NLP Summit! Originally from KDnuggets https://ift.tt/30BeYSu source https://365datascience.weebly.com/the-best-data-science-blog-2020/formulated-nlp-summit