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153 results
The provided video explains the critical **data preprocessing techniques** of **standardisation** and **normalization**, which are ...
29 views
4 days ago
Data Pre-Processing is a crucial step in Machine Learning and Data Science, transforming raw, incomplete data into a clean and ...
117 views
5 days ago
Deep neural networks often fail to learn because of the Vanishing Gradient Problem—where gradients shrink to near zero and ...
15 views
3 days ago
NVIDIA researchers just exposed a fundamental flaw in GRPO — the training algorithm behind DeepSeek R1 and most reasoning ...
80 views
Normalization is a high-weightage topic. Learn to identify the highest normal form without listing every dependency and verify ...
4 views
So the overall the likelihood of a data sample can be written like this in continuous normalizing flow and uh you model generative ...
In this 10‑minute educational video, Dhaarini AI-Tech Research Academy explains Feature Scaling—a critical preprocessing step ...
21 views
7 days ago
The Student's t-distribution is an important distribution in statistics for hypothesis testing with small sample size n. This video was ...
3,348 views
1 day ago
statistics play a crucial role in how machine learning models understand and learn from data. in this video, we explain basic ...
3 views
6 days ago
DAY 6 – UNIT 2 DATA TRANSFORMATION AND DISCRETIZATION -------------------------------------------------- 1. DATA ...
0 views
2 days ago
In this video, we continue our feature engineering journey, applying transformations to numerical and categorical variables to ...
In this live Databricks bootcamp Day 2, you will learn how Databricks is used for modern data engineering in real companies.
28,047 views
Streamed 4 days ago
Code: https://github.com/ash322ash422/youtube/blob/main/deep_learning/5_batch-normalization/batch_norm_example.ipynb ...
6 views
8 hours ago
This video serves as a gentle introduction to information theory geared towards quants who have little to no familiarity with the ...
4,713 views
Ensemble models, bagging, pasting, feature sampling, instance sampling, random forests, regularization, feature importance, ...
46 views
IIT Madras BS in Data Science & Applications | Concept Explanation | Exam Preparation In this video, I explain important concepts ...
Most beginners struggle with Machine Learning because of statistics. In this video, I explain **Statistics for Machine Learning** in ...
16 views