Data Science Dojo

MAY 27, 2024

Released in 2020, AlphaFold leverages deep learning algorithms to accurately predict the 3D structure of proteins from their amino acid sequences, outperforming traditional methods by a significant margin.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Towards AI

JULY 20, 2023

This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). NLP for SLR data extraction in action Several studies have shown the viability of automated extraction through NLP models.

Natural Language Processing 98

Natural Language Processing ML ML Support Vector Machines 98

Data Science Blog

OCTOBER 20, 2024

Finally, Shapley value and Markov chain attribution can also be combined using an ensemble attribution model to further reduce the generalization error (Gaur & Bharti 2020). Gradient boosting also provides a popular ensemble technique that is often used for unbalanced data, which is quite common in attribution data.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

Heartbeat

MAY 22, 2023

2020 ) can be integrated to add greater weight to the core features. Schematic diagram of the overall framework of Emotion Recognition System [ Source ] The models that are used for AI emotion recognition can be based on linear models like Support Vector Machines (SVMs) or non-linear models like Convolutional Neural Networks (CNNs).

AI 52

AI AI Deep Learning Deep Learning 52

Heartbeat

AUGUST 1, 2023

It is possible to improve the performance of these algorithms with machine learning algorithms such as Support Vector Machines. Springer International Publishing, 2020. We’re committed to supporting and inspiring developers and engineers from all walks of life.

Deep Learning 52

Deep Learning Deep Learning Algorithm Support Vector Machines 52

Heartbeat

JUNE 14, 2023

Support vector machine classifiers as applied to AVIRIS data.” Advances in Neural Information Processing Systems 33 (2020): 15288–15299. [10] PMLR, 2017. [2] 2] Lin, Zhen, Shubhendu Trivedi, and Jimeng Sun. Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. Anthony, et al.

Deep Learning 59

Deep Learning Deep Learning Support Vector Machines Machine Learning 59

Mlearning.ai

JANUARY 31, 2023

left: neutral pose — do nothing | right: fist  — close gripper | Photos from myo-readings-dataset left: extension  — move forward | right: flexion  — move backward | Photos from myo-readings-dataset This project uses the scikit-learn implementation of a Support Vector Machine (SVM) trained for gesture recognition. Handel, J. -O.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52