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Day 47/100 - Dimensional Reduction Explored Iris Data with Dimensionality Reduction and K-Means Clustering. #DimensionalReduction #machinelearning
Day 46/100 - Hierarchical clusters Didn't do much today, just added hierarchical clusters to the code. #machinelearninginpublic
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Machine Learning Concept 6: Limitations of PCA & t-SNE in Machine Learning & Data Science Algorithms. #MachineLearning #DataScience #PCA #tsne #limitations #development #googlebrain #Tesla #ArtificialIntelligence #Twitter #featurescaling #dimensionalreduction #Algorithms #AI_ML
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It's so refreshing to find people that can explain #DeepLearning concepts with intuition and clarity. Keep up the good work @svpino. Subscribed! #MachineLearning #autoencoder #dimensionalReduction
14 Aug 2022
One of my favorite applications of neural networks: Autoencoders. But every explanation I've found is full of jargon. I recorded a video to give you specific insights on how they work and how you can use them: youtu.be/NZ97-lFEUq8
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These missing neighbors may appear close in a 3d space, but in reality, in 300-dimensional space, they are further from any highlighted words. #machinelearning #deeplearning #artificialintelligence #ai #pythonprogramming #bigdata #datavisualization #nlp #dimensionalreduction
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Compression Loss: Compressed to 2d, the nearest point should be 96. The nearest neighbor on 300d is 66! #machinelearning #deeplearning #artificialintelligence #ai #pythonprogramming #bigdata #articles #datavisualization #datatransformation #nlp #dimensionalreduction
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2 Oct 2019
@GeostatsGuy and @johntfoster teaching #MachineLearning , #clustering, #dimensionalreduction , and a VARIETY of other topics for our customized workshop
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A dimensional reduction guiding deep learning architecture for 3D shape retrieval See more: bit.ly/2JxD3lP Authors: Wang, Lin, Yu, Hamza #CagJournal #ComputerGraphics #shape #3D #retrieval #architecture #dimensionalreduction #precision #deepconvolutiona
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The #SimonsCentreatNCBS is hosting a #SimonsColloquium by Prof. Terence Hwa (@UCSanDiego) titled, "#BacterialGrowthLaws & the Origin of #DimensionalReduction" today at 4 pm at Dasheri Auditorium, @NCBS_Bangalore. All are welcome!
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The #SimonsCentre at NCBS is very happy to announce a #SimonsColloquium: Title: #BacterialGrowthLaws & the Origin of #DimensionalReduction Speaker: Prof. Terence Hwa, @UCSanDiego Date: Thursday, 6th Dec'18 Time: 4 pm Venue: Dasheri Auditorium, @NCBS_Bangalore All are welcome!
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13 Dec 2015
An introduction to manifold learning - part 1 of the series. #machinelearning #DimensionalReduction #datascience jverma.github.io//manifold-l…

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