Which #MachineLearning #Algorithm To Choose For My Problem ? 👇 Linear Regression? Decision Tree? Random Forest? Boosting? SVM? #NeuralNetworks? K-Means? or OC-SVM?
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#AI #DeepLearning #BigData #DataScience
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#AI #DeepLearning #BigData #DataScience
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here are several machine learning algorithms industry has in place.
Here is a simple #MachineLearning #Algorithm Matrix organized by Type, Class, Restriction Bias and Preference Bias.
#artificialintelligence #matrix #deeplearning
Source: https://lnkd.in/dHGCjh8
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Here is a simple #MachineLearning #Algorithm Matrix organized by Type, Class, Restriction Bias and Preference Bias.
#artificialintelligence #matrix #deeplearning
Source: https://lnkd.in/dHGCjh8
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🗣 @AI_Python_arXiv
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This #Algorithm Can Create 3D #Animations From A Single Still 2D Image.
A 2D subject in a single photo as input, and creates a 3D animated version of that subject. The animation can then walk out, run, sit, or jump in #3D.
#artificialintelligence #technology #research
https://lnkd.in/f8hxfcd #machinelearning
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A 2D subject in a single photo as input, and creates a 3D animated version of that subject. The animation can then walk out, run, sit, or jump in #3D.
#artificialintelligence #technology #research
https://lnkd.in/f8hxfcd #machinelearning
If you like our channel, i invite you to share it with your friends
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When algorithms surprise us
Blog by Janelle Shane: https://lnkd.in/dQnCVa9
Original paper: https://lnkd.in/dt63hJR
#algorithm #artificialintelligence #machinelearning #reinforcementlearning #technology
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Blog by Janelle Shane: https://lnkd.in/dQnCVa9
Original paper: https://lnkd.in/dt63hJR
#algorithm #artificialintelligence #machinelearning #reinforcementlearning #technology
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#LogisticRegression is the most commonly used classification #algorithm in the industry. Here are 3 articles to understand the nitty-gritty of this technique:
Simple Guide to Logistic Regression in #R - https://lnkd.in/fQHsskA
Building a Logistic Regression model from scratch - https://lnkd.in/fK79Nf5
How to use Multinomial and Ordinal Logistic Regression in R? - https://lnkd.in/fHFHnDq
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Simple Guide to Logistic Regression in #R - https://lnkd.in/fQHsskA
Building a Logistic Regression model from scratch - https://lnkd.in/fK79Nf5
How to use Multinomial and Ordinal Logistic Regression in R? - https://lnkd.in/fHFHnDq
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#AI approach outperformed human experts (AGAIN) in identifying #cervical precancer!
A research team led by investigators from the National Institutes of Health and Global Good has developed a #deeplearning #algorithm that can analyze digital images of a woman's cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence (AI) approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.
To create the algorithm, the research team used more than 60,000 cervical images from an NCI archive of photos collected during a cervical cancer screening study that was carried out in Costa Rica in the 1990s.
Overall, the algorithm performed better than all standard screening tests at predicting all cases diagnosed during the Costa Rica study. Automated visual evaluation identified precancer with greater accuracy (AUC=0.91) than a human expert review (AUC=0.69) or conventional cytology (AUC=0.71).
Paper here: https://lnkd.in/dxETi8K
#algorithms #prediction #cancer #machinelearning #cnn #transferlearning
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A research team led by investigators from the National Institutes of Health and Global Good has developed a #deeplearning #algorithm that can analyze digital images of a woman's cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence (AI) approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.
To create the algorithm, the research team used more than 60,000 cervical images from an NCI archive of photos collected during a cervical cancer screening study that was carried out in Costa Rica in the 1990s.
Overall, the algorithm performed better than all standard screening tests at predicting all cases diagnosed during the Costa Rica study. Automated visual evaluation identified precancer with greater accuracy (AUC=0.91) than a human expert review (AUC=0.69) or conventional cytology (AUC=0.71).
Paper here: https://lnkd.in/dxETi8K
#algorithms #prediction #cancer #machinelearning #cnn #transferlearning
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🗣 @AI_Python_arXiv
Getting started with #datascience and #machinelearning? Don't miss out on these 5 incredible articles covering various #ML algorithms (+ code) every beginner must know:
6 Easy Steps to Learn #NaiveBayes #Algorithm (with codes in #Python and #R) - https://lnkd.in/fVz5sS5
Introduction to k-Nearest Neighbors: Simplified - https://lnkd.in/fghna-N
Understanding Support Vector Machine algorithm from examples - https://lnkd.in/fW8AhpS
A comprehensive beginner’s guide to create a Time Series Forecast - https://lnkd.in/f7ZAVPE
Essentials of Machine Learning Algorithms -
https://lnkd.in/fdEGhjf
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6 Easy Steps to Learn #NaiveBayes #Algorithm (with codes in #Python and #R) - https://lnkd.in/fVz5sS5
Introduction to k-Nearest Neighbors: Simplified - https://lnkd.in/fghna-N
Understanding Support Vector Machine algorithm from examples - https://lnkd.in/fW8AhpS
A comprehensive beginner’s guide to create a Time Series Forecast - https://lnkd.in/f7ZAVPE
Essentials of Machine Learning Algorithms -
https://lnkd.in/fdEGhjf
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
A Pattern-Based Method for Medical Entity Recognition From Chinese Diagnostic Imaging Text
The identification of medical entities and relations from electronic medical records is a fundamental research issue for medical informatics. However, the task of extracting valuable knowledge from these records is challenging due to its high complexity.
The method proves to be stable and robust with different amounts of testing data. It achieves a comparatively high performance in the CHIP 2018 open challenge, demonstrating its effectiveness in extracting tumor-related entities from Chinese diagnostic imaging text.
Paper: https://lnkd.in/g3uezmR
#LSTM #RNN #deeplearning #healthcare #algorithm
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The identification of medical entities and relations from electronic medical records is a fundamental research issue for medical informatics. However, the task of extracting valuable knowledge from these records is challenging due to its high complexity.
The method proves to be stable and robust with different amounts of testing data. It achieves a comparatively high performance in the CHIP 2018 open challenge, demonstrating its effectiveness in extracting tumor-related entities from Chinese diagnostic imaging text.
Paper: https://lnkd.in/g3uezmR
#LSTM #RNN #deeplearning #healthcare #algorithm
✴️ @AI_Python_EN