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 …
Identify Claims, Check or Accounting Fraud: One Simple Check
Author(s): Mishtert T Originally published on Towards AI. Fraud Detection U+007C Implementation Example in R Quick Way to Identify, Filter & Test Assumption of Fraud Photo by Marvin Ronsdorf on Unsplash Law of Anomalous Numbers (Benford’s Law) If you are reading a …
Data Science for Biodiversity
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. Photo by Jonathan Mast on Unsplash Conservation of plant, animal and forest genetic resources The climate change effort is becoming a multi-trillion industry. In such a landscape characterized by a multitude of different projects, …
Introduction to Federated Learning
Author(s): Manish Nayak Originally published on Towards AI. Introduction Any deep learning model learns from the data and that data must be collected or uploading on the server (one machine or in a data center). A most realistic and meaningful deep learning …
Building a Machine Learning Model When Data Isn’t Available
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Advantages of high-quality data Before performing any data science task such as exploratory data analysis or building a model, you must ask yourself the following important questions: What do you want to …
Adversarial Attacks in Textual Deep Neural Networks
Author(s): Edward Ma Originally published on Towards AI. What is an adversarial attack? Photo by Solal Ohayon on Unsplash Adversarial examples aim at causing target model to make a mistake on prediction. It can be either be intended or unintended to cause …
Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import Necessary Libraries Top highlight This article will discuss how the covariance matrix plot can be used for feature selection and dimensionality reduction. A machine learning algorithm (such as classification, clustering …
Choose the Right Featured Image For Your Data Science Articles
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Choosing the right featured image plays a key role in whether your article gets selected and recommended by Medium’s curators to topics. This article will discuss some suggestions on how to choose …
10 Questions to Consider Before Pursuing a Career in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Analyzing several parameters & conditions before jumping into Data Science career Top highlight Authors: Benjamin O. Tayo and Gideon Takor Benjamin O. Tayo LinkedIn Profile: https://www.linkedin.com/in/benjamin-o-tayo-ph-d-a2717511/ Gideon Takor LinkedIn Profile: https://www.linkedin.com/in/gideon-takor-mba-28835820/ Data …
A Robustly Optimized BERT Pretraining Approach
Author(s): Edward Ma Originally published on Towards AI. What is BERT? Top highlight BERT (Devlin et al., 2018) is a method of pre-training language representations, meaning that we train a general-purpose “language understanding” model on a large text corpus (like Wikipedia), and …
Popular posts
Updates
Recent Posts
