01:02:51
ML in Finance Kharagpur Data Science Hackathon 2024
01:08:48
Acing Data Science Internship
32:11
KRS Ep14: Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
20:49
KRS Ep13: Rethinking Style Transfer
19:26
KRS Ep12: GloVe: Global Vectors for Word Representation
18:40
KRS Ep11: Batch Normalization
20:45
KRS Ep10: Unifying Vision-and-Language Tasks via Text Generation
13:32
KRS Ep08: Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
23:17
KRS Ep07: Guide Me: Interacting with Deep Networks
07:43
X. KRS Ep06 Bagging & Boosting: Gradient Boosting
07:03
IX. KRS Ep06 Bagging & Boosting: Adaboost (D)
04:03
VII. KRS Ep06 Bagging & Boosting: Adaboost (B)
02:27
VIII. KRS Ep06 Bagging & Boosting: Adaboost (C)
02:25
VI. KRS Ep06 Bagging & Boosting: Adaboost (A)
04:12
V. KRS Ep06 Bagging & Boosting: Boosting
03:34
IV. KRS Ep06 Bagging & Boosting: Random Forests
03:29
III. KRS Ep06 Bagging & Boosting: Bagging Algorithm, Out Of Bag Examples
06:09
II. KRS Ep06 Bagging & Boosting: Bootstrap Aggregating
02:36
I. KRS Ep06 Bagging & Boosting: Series Introduction
20:34
KRS Ep05: Neural Machine Translation with Attention Mechanism
21:32
KRS Ep04: Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
35:22
KRS Ep03: Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
42:26
KRS Ep02: Dank Learning: Generating Memes Using Deep Neural Networks
35:43
KRS Ep01: A Neural Algorithm of Artistic Style
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KDAG is aimed at bringing Data Analytics and Machine Learning enthusiasts together under the umbrella of a single society, and provide ample opportunities & resources that are required to build a successful career in this emerging domain.
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