35x39:43Dr. Data Science
@drdatascienceAI & Machine LearningUnited StatesView on YouTube
9,760
Subscribers
+60 in 29 days
464K
Total views
+9,645 in 29 days
653
Median views per video
average 3,376
138
Videos
~0.2 uploads a week
Subscribers
Last 27 days with a reading.
Total views
Lifetime views, per reading.
Dr. Data Science's biggest outliers
The videos that most beat the channel's own usual views.
35x39:43
21x6:04
12x24:28Understanding Backpropagation In Neural Networks with Basic Calculus
38K views · 4 years ago
11x5:16
8.3x14:23Sequential Model, Dense Layer, and Model Compile in Keras Deep Learning
3.7K views · 2 years ago
7.7x16:33
7.4x17:20Understanding Probabilistic Neural Networks: The Gaussian Output Layer (Theory and Implementation)
1.7K views · 10 months ago
6.5x4:13Python Package Managers: pip, conda, and uv | Data Science Digest
5.1K views · 1 year ago
6.1x14:03Automatic Differentiation for ABSOLUTE beginners: "with tf.GradientTape() as tape"
2.7K views · 2 years ago
5.8x34:50
5.5x9:07Understanding Pipeline in Machine Learning with Scikit-learn (sklearn pipeline)
55K views · 5 years ago
5.3x20:08Latest uploads
2x5:07Why AI Companies Love Math—But Is It Enough?
826 views · 4 weeks ago
5.1x15:41TabFM Explained: Google's New Foundation Model for Tabular Data
3.1K views · 3 months ago
0.5x8:47PyTorch Autograd Explained: Vector-Jacobian Product (VJP)
408 views · 5 months ago
2.2x11:44Why Do We Need Hidden Layers? XOR Example with a Single Hidden Layer Neural Network Explained!
846 views · 5 months ago
0.4x15:36Finally Understand Attention in Transformers (Step-by-Step with Numbers)
177 views · 5 months ago
1x3:43Entropy, Cross-Entropy, and Binary Cross-Entropy (BCE) loss, explained!
364 views · 5 months ago
7.4x17:20Understanding Probabilistic Neural Networks: The Gaussian Output Layer (Theory and Implementation)
1.7K views · 10 months ago
1.1x32:01Intro to Probability and Statistics, Lec 6/10: Parameter Estimation (Maximum Likelihood Estimation)
286 views · 11 months ago
0.5x12:46Intro to Probability and Statistics, Lec 4/10: Discrete Distributions (Bernoulli and Binomial)
147 views · 11 months ago
0.3x21:45
0.5x27:01Intro to Probability and Statistics, Lec 3/10: Expectation (Mean, Variance, and Moment Generating)
160 views · 11 months ago
0.4x18:17Intro to Probability and Statistics, Lecture 2/10: Random Variable (Definition, PDF, PMF, CDF)
107 views · 11 months ago
Channels like Dr. Data Science
- Aikhomu Okoedion Machine Learning
@aikhomuokoedion · 5,360 subscribers · AI & Machine Learning
1,719avg views - Rajistics - data science, AI, and machine learning
@rajistics · 9,310 subscribers · AI & Machine Learning
1,088avg views
About
Quick and easy videos to learn machine learning and data science! Please consider joining the Dr. Data Science team! Topics that we cover include classification, regression, clustering, exploratory data analysis, statistics, neural networks/deep learning, computer vision, Scikit-learn, PyTorch, and many more!
- Joined
- 2017-08-24
- Format
- tutorial
- Topics
- AI Tutorials & How-To, AI Research Explainers
Learn from Dr. Data Science's outliers.
Ask Hugo why a video took off, which ideas would work for your channel, and what to title it — backed by YouTube Explorer data on Dr. Data Science and the channels around it.
