Five Cool Python Libraries for Data Science
Author(s): Dhilip Subramanian Handy Python libraries for data science Python is a best friend for the majority of the Data Scientists. Libraries make their life simpler. I have come across five cool Python libraries while working on my NLP project. This helped me …
Titanic Challenge — Machine Learning for Disaster Recovery
Author(s): Bindhu Balu Originally published on Towards AI. GitHub repo : https://github.com/BindhuVinodh/Titanic-Data-Visualization The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of …
Best Masters Programs in Machine Learning (ML) for 2020
Top Universities to Pursue an MS with a Focus Area in Machine Learning Careers, Education, Machine Learning Best Masters Programs in Machine Learning (ML) for 2020 These are the best universities to pursue a master’s degree in machine learning Last updated on August 14, 2020 Considering …
Machine Learning Resources from Sebastian Raschka
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Open-source resources from a bestselling author and machine learning expert that will enable you to unlock deeper insights into cutting-edge machine learning and deep learning Photo by Christopher Gower on Unsplash In …
Sources of Error in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. The solution to a machine learning problem is not unique. The predictive power of a model depends on the experience of the data scientist in dealing with sources of error Top highlight …
7 Best Machine Learning Applications That You Must Know
Author(s): Mohammed Imran Originally published on Towards AI. Artificial Intelligence exists almost everywhere. You’ll use it one way or the other without even knowing about it. The most known applications of AI is Machine Learning (ML), in which computers and devices execute …
Summary of 2019 Accomplishments as a Data Science Blogger
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Reviewing 2019 accomplishments and lessons learned as a medium writer, as well as discussing goals for 2020 Photo by Nicolas Tissot on Unsplash The year 2019 has been a remarkable year for …
Start Data Science Blogging in 2020
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. How to Start with Blogging in Data Science Photo by Corinne Kutz on Unsplash Medium is now considered one of the most popular blogging sites. Medium is a platform specifically designed for …
The Dull and Unpleasant 2020 Ethics of AI-enabled Science
Author(s): Dr. Adam Hart Originally published on Towards AI. © Wild0ne courtesy Pixabay In the 1997 movie Gattica, Ethan Hawke displayed the brute-force determination of the human spirit in an hypothetical, transitional to full CRISPR, gene-editing future that 23 years later we …
Outlier Detection (Part 2): Multivariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Mahalanobis distance U+007C Robust estimates (MCD): Example in R Original Image Seen Here In Part 1 (outlier detection: univariate), we learned how to use robust methods …
Outlier Detection (Part 1): Univariate
Author(s): Mishtert T Originally published on Towards AI. Analyze even better — For Better Informed Decision Robust Statistics: Example in R Making a Point A popular tool for outlier detection is Calculate z-score for each observation. Flag observation as an outlier if …
The Data Science Behind Netflix
Author(s): Divy Shah Originally published on Towards AI. Top highlight “Netflix is not only a successful Service but it is completely a Data-Driven Service.” Netflix in numbers Last year Netflix announced that it signed on 135 million Paid customers worldwide. Netflix’s US …
How to Join the AI for Good Movement
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. During the last three months of building our AI for Good initiative at Appsilon Data Science, we have learned and observed a lot about what appears to be a nascent, global movement. In this …
A Lite BERT for Reducing Inference Time
Author(s): Edward Ma Originally published on Towards AI. BERT Photo by Ksenia Makagonova on Unsplash BERT (Devlin et al., 2018) achieved lots of state-of-the-art results in 2018. However, it is not easy to use BERT (Devlin et al., 2018) in production even …
Taking the Intelligence out of AI
Author(s): Dr. Adam Hart Originally published on Towards AI. When we look at clouds or other ambiguous media and sometimes see images that form out from the clouds, this effect, known as pareidolia is at work. This is the brain's effort to …
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