项目作者: sowmyamanojna

项目描述 :
This repository contains all material related to the course Analysis and Interpretation of Biological Data (BT3041) in the Spring 2020 semester.
高级语言: Jupyter Notebook
项目地址: git://github.com/sowmyamanojna/BT3041-Analysis-and-Interpretation-of-Biological-Data.git


chap8_advanced_cluster_analysis_1647739440398.pdf
Tutorial1_Basic Maths_1647739442047.pdf
chap1_1647739440770.ppt
chap7_basic_cluster_analysis_1647739440936.pptx
chap8_1647739441313.ppt
chap8_advanced_cluster_analysis_1647739441719.pptx
BT3041_DataAnalysis_Assignment_1647739149657.pdf
be17b007_assignment_report_1647739150688.pdf
be17b007_assignment_1647739155106.pdf
BT3041-Data_Final_Exam_1647739179606.pdf
BT3041_Data_Analysis_Final_Exam_BE17B007_1647739179922.pdf
be17b007_endsem_1647739180497.pdf
BT3041 2019 Q1+2 answers_1647739180641.pdf
BT3041 Quiz-1_2017_1647739180919.pdf
BT3041 Quiz-2_2017_1647739181079.pdf
1 intro_biol_datav3_1647739181340.pdf
2 datav3_1647739181638.pdf
3 chap8_basic_clusteringv3_1647739181849.pdf
4 hierarchical_clustering_1647739182008.pdf
5 som5_1647739182144.pdf
6 em_gmm_1647739182308.pdf
Introduction to Data Mining_1647739183861.pdf
Introduction to Data Mining_Solution_Manual_1647739191687.pdf
A multi-scale convolutional neural network forphenotyping high-content cellular images_1647739210739.pdf
Thorax disease diagnosis using deep convolutional neural network_1647739213805.pdf
1. UNet_1647739437151.pdf
2.HEP-2 CELL IMAGE CLASSIFICATION - Copy_1647739437377.pdf
4.Thorax disease diagnosis using deep convolutional neural network_1647739437587.pdf
95-alvinn-an-autonomous-land-vehicle-in-a-neural-network_1647739437954.pdf
NETtalk_ A Parallel Network That Learns to Read Aloud 1988-3562_1647739438230.pdf
eeg_motor_imag_ebf_1647739438396.pdf
glovetalkii_1647739438598.pdf
rbf_moody_darken1989_1647739438818.pdf
rbf_pd_diagnosis_1647739439044.pdf
svm_diabetes_1647739439136.pdf
chap5-association_analysis_1647739439295.pdf
chap6_advanced_association_analysis_1647739439523.pdf
chap7_basic_cluster_analysis_1647739439848.pdf
chap8_basic_clusteringv3_1647739192656.ppt
datav3_1647739194797.pptx
dbscanv4_1647739196472.pptx
em_gmm_1647739197489.pptx
graph_basedv2_1647739199282.pptx
hierarchical_clustering_1647739200997.pptx
intro_biol_datav3_1647739203320.pptx
som5_1647739204988.pptx
1 intro_biol_datav3_1647739205554.pptx
2 datav3_1647739206412.pptx
3 chap8_basic_clusteringv3_1647739206919.ppt
4 hierarchical_clustering_1647739207198.pptx
5 som5_1647739207391.pptx
6 em_gmm_1647739207692.pptx
1 aspects_mlp_1647739216544.pptx
10 Appl_cnnv2_1647739223766.pptx
2 nn_applicationsv2_1647739228419.pptx
3 nn_bio_appsv1_1647739233812.pptx
4 RBFNN_theoryv2_1647739273033.pptx
5 RBFNN_appsv1_1647739317490.pptx
6 svm_april_17_1647739358664.pptx
7 deep_learning_intro_1647739415236.pptx
8 intro_cnns_1647739428231.pptx
9 Applications of Convolutional Neural Network_1647739432997.pptx
Tutorial1_Basic Maths_1647739192112.docx