Accuracy

Designing an effective classification model requires an upfront selection of an appropriate classification metric. This posts walks you through an example of three possible metrics (accuracy, precision, and recall) while teaching you how to easily remember the definition of each one.To design an effective supervised machine learning model, data scientists must first select appropriate metrics to judge their model’s success. But choosing a useful metric often proves more challenging than anticipated, especially for…

An Extensive Introduction to AutoencodersWith Clustering, Linear Discriminant Analysis, and Performance EvaluationPhoto by Matt Howard on UnsplashThe previous chapter was a general introduction to Embedding, Similarity, and Clustering. This chapter builds upon these fundamentals by expanding the concept of embedding to include images as well. We will explore how K-Means clustering, introduced in the previous chapter, performs on image embeddings and introduce ways to measure performance through Accuracy and Recall. A…

The government’s plan to switch to GPS-based road tolling from FASTags may face logistical…

AI programs trained to generate images using a dataset of text-to-image pairs MIT researchers develop a new method that uses multiple models to create more complex images with better understanding. The internet had a collective feel-good moment with the introduction of DALL-E, an artificial intelligence-based image generator. Systems like DALL-E, DALL-E 2, and Mid journey are AI programs trained to generate images from text descriptions using a dataset of text-to-image pairs. These AI-based image generators use natural…

Observed and forecasted hourly rainfall at 09 UTC 20 July 2021. The first row is observation. The second row is PM mean and the third row is POP for the threshold of larger than 25 mm h−1. The left and right are from different CEFSs experiments. Credit: Science China Press This study is led by Kefeng Zhu (Nanjing Joint Institute for Atmospheric Sciences) and Prof. Ming Xue (Key Laboratory for Mesoscale Severe Weather and…

Good-performing neural networks do not have to be unnecessarily largePhoto by Uriel SC on UnsplashResearch in the field of image recognition is focused on Deep-Learning techniques and has made good progress in recent years. Convolutional networks (CNNs) are very effective in perceiving structure in images and thus in automatically extracting unique features. Nevertheless, the usually very large networks require the availability of massive computational power and a long training time in order to achieve the highest…

Last updated: July 25th, 2022 at 14:57 UTC+02:00 The Galaxy Watch 4 could potentially become a tool for accurate measurements of OSA (Obstructive Sleep Apnea), shows a recent study conducted by the Samsung Medical Center and Samsung Electronics. The study, published by the National Sleep Foundation medical journal “Sleep Health,” monitored 97 adults with sleep disturbances and concluded that the Galaxy Watch 4 could help overcome the high cost associated with traditional measurement tools. The Galaxy Watch 4 is…

Logitech G Pro Wireless mouse is now available for purchase in India. The gaming mouse, as the name suggests, is an upgraded version of the Logitech G Pro wired mouse and comes with ambidextrous shape. It is a lightweight wireless mouse that is powered by the company's Hero 25K sensor that offers advanced accuracy. It also consumes 10 times less power than a standard PMW3366 sensor, giving Logitech G Pro Wireless a better battery life, as per the company.Logitech G Pro Wireless price in India, availabilityLogitech G Pro…

Coffee Data ScienceBetter sampling to better understand TDS vs Brix vs GroundtruthI use a refractometer (a digital Atago) on a daily basis to measure Total Dissolved Solids (TDS), which I then use to calculate Extraction Yield (EY). I assume the Atago is accurate, but there is no data provided by Atago or any refractometer producer. They only give accuracy numbers. I have done some other tests, but I wanted to see what how I could better test groundtruth.I compared the Atago to a Brix visual refractometer, and then I…

Scientists have developed a computer model capable of predicting crime that is about to occur up to a week before it takes place. Data scientists and social scientists at the University of Chicago have developed an algorithm that relies on public data to predict future violent and property crimes with 90 percent accuracy. Using a separate model, the researchers were also able to determine that there is a heavy bias in police response to these crimes, based on the socioeconomic status of neighbourhoods where the crime was…