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@iam_sanjana06 1 year ago
Day 8 of #365DaysOfML Artificial neural networks are used in image recognition, speech recognition, machine translation, and medical diagnosis. #Datascience #MachineLearning #100DaysOfCode https://t.co/R6hWYdR2HK
@gretel_ai 2 years ago
A new study that used Gretel’s synthetic data API to augment a limited EEG dataset improved its ML model accuracy by an average of 14%. Exciting to see #syntheticdata supporting medical research. https://loom.ly/3p9wJx0 #datascience #developers https://t.co/95H1rezTis
@howtolearnmach1 2 years ago
Ever wondered how #ArtificialIntelligence is used in the medical field? Check out our article to learn all about it. https://howtolearnmachinelearning.com/articles/artificial-intelligence-in-medicine/ #MachineLearning #DataScience #AI #Medicine #Medtech
@rfunctionaday 2 years ago
Cox regression model is widely used in medical research to assess the effect of several risk factors on survival time of patients. The {ggcoxdiagnostics} function from {survminer} can help visually assess goodness of model fit 🧐 https://rpkgs.datanovia.com/survminer/reference/ggcoxdiagnostics.html #rstats #DataScience https://t.co/3z6D7FQgL9
@moorejh 3 years ago
The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. https://www.wired.com/story/foundations-ai-riddled-errors/ #machinelearning #datascience #deeplearning
@PyImageSearch 5 years ago
New tutorial! Deep learning, hydroponics, and...medical marijuana?🤔 Discover how #DeepLearning + #Python are being used to non-invasively classify plant root health via images, increasing farm/crop yields: http://pyimg.co/tx8nz #MachineLearning #Keras #AI #DataScience https://t.co/DjMhHtsIeU