This tutorial guides Android developers in preparing the popular library OpenCV for use. Using a step-by-step guide, the library will be imported into Android Studio and then can be used for performing any of the operations it supports, such as object detection, segmentation, tracking, and more. Originally from KDnuggets https://ift.tt/3jBNLr6 source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-guide-to-preparing-opencv-for-android
Category Archives: Data Science News
Top Stories Sep 28 Oct 4: Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science
Also: The Best Free Data Science eBooks: 2020 Update; International alternatives to Kaggle for Data Science / Machine Learning competitions; Geographical Plots with Python; Introduction to Time Series Analysis in Python; Comparing the Top Business Intelligence Tools: Power BI vs Tableau vs Qlik vs Domo Originally from KDnuggets https://ift.tt/3d4Vhsa source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-sep-28-oct-4-data-science-minimum-10-essential-skills-you-need-to-know-to-start-doing-data-science
New U. of Chicago Machine Learning for Cybersecurity Certificate Gives Professionals Tools to Detect and Prevent Attacks
Machine learning has become an essential tool for IT security professionals seeking to detect and prevent attacks and vulnerabilities. The Center for Data and Computing (CDAC) convened a trio of University of Chicago computer science faculty to produce an innovative new remote Machine Learning for Cybersecurity certificate that will be offered for the first timeContinue reading “New U. of Chicago Machine Learning for Cybersecurity Certificate Gives Professionals Tools to Detect and Prevent Attacks”
Your Guide to Linear Regression Models
This article explains linear regression and how to program linear regression models in Python. Originally from KDnuggets https://ift.tt/30wmgaQ source https://365datascience.weebly.com/the-best-data-science-blog-2020/your-guide-to-linear-regression-models
The Boring Work of Implementing ML Models
Photo by Siavash Ghanbari on Unsplash Published from my website As I write blog posts of the potential for AI to help industries. Or some hype article in the media talking about how AI can help revolutionise the world or your favourite industry. We forget the day to day work needed to make that future into reality. BigContinue reading “The Boring Work of Implementing ML Models”
Is OpenAI still open?
OpenAI announced a partnership with Microsoft, that grants them exclusive source-code and model access to GPT-3 without using the API… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/is-openai-still-open-81f6839f756b?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/is-openai-still-open
Microsofts HummingBird-ML: A library for accelerating traditional machine learning models
Microsoft’s HummingBird-ML: A library for accelerating inference with traditional machine learning models Hello Guys. Today’s topic of our discussion is HUMMINGBIRD-ML. We all have used traditional ML Models like Linear Regression, Logistic Regression, Decision Tree, etc, in the initial stages of our way in the field of Machine Learning. Unfortunately, traditional ML libraries and toolkits (suchContinue reading “Microsofts HummingBird-ML: A library for accelerating traditional machine learning models”
Key Machine Learning Technique: Nested Cross-Validation Why and How with Python code
Selecting the best performing machine learning model with optimal hyperparameters can sometimes still end up with a poorer performance once in production. This phenomenon might be the result of tuning the model and evaluating its performance on the same sets of train and test data. So, validating your model more rigorously can be key toContinue reading “Key Machine Learning Technique: Nested Cross-Validation Why and How with Python code”
Getting Started in AI Research
A guide on how to contribute to confirming the reproducibility of some of the most recent papers and join open-search research. Originally from KDnuggets https://ift.tt/3nlZMD9 source https://365datascience.weebly.com/the-best-data-science-blog-2020/getting-started-in-ai-research
The GPT-3 Algorithm Wrote Articles For Two WeeksAnd 26000 People Read It
The GPT-3 algorithm wrote articles for two weeks — they were read by 26 thousand people and only one asked the author if it was a robot… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/the-gpt-3-algorithm-wrote-articles-for-two-weeks-and-26-000-people-read-it-210127f79a16?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-gpt-3-algorithm-wrote-articles-for-two-weeksand-26000-people-read-it
365 Data Science 