Statistics for Machine Learning
Total watch time
2h 42m
at 1× speed · exactly 2 hours, 41 minutes, 51 seconds at 1×
| 1× | 2h 41m 51s |
|---|---|
| 1.25× | 2h 9m 29s |
| 1.5× | 1h 47m 54s |
| 1.75× | 1h 32m 29s |
| 2× | 1h 20m 56s |
Plan to finish
About 3 days at an hour a day
Pick a daily pace and the days you'll watch. Ticked videos are skipped.
At one hour a day, every day, this playlist takes about 3 days. Turn on JavaScript to plan around your week.
Videos (13)
2h 42m in total · tick what you've watched
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| Watched | ||||
|---|---|---|---|---|
| 1 |
 Descriptive Statistics Vs Inferential Statistics
|
8:20 | 2020-03-05 | |
| 2 |
 Types of Data in Statistics
|
5:23 | 2020-03-05 | |
| 3 |
 Studying types of data with graphs
|
9:54 | 2020-03-05 | |
| 4 |
 Descriptive Statistics - Visualization Techniques
|
31:27 | 2019-08-06 | |
| 5 |
 Descriptive Statistics - Measures of Central Tendency
|
12:26 | 2019-08-08 | |
| 6 |
 Descriptive Statistics - Measures of Spread
|
23:49 | 2019-08-08 | |
| 7 |
 Probability Density Function
|
13:49 | 2019-08-09 | |
| 8 |
 Cumulative Distribution Function
|
4:40 | 2019-08-09 | |
| 9 |
 How to calculate PDF and CDF
|
11:35 | 2019-08-10 | |
| 10 |
 How to use CDF in our analysis
|
7:04 | 2019-08-10 | |
| 11 |
 Normal Distribution
|
17:45 | 2020-03-18 | |
| 12 |
 Z-score and Z-tables
|
8:28 | 2020-03-18 | |
| 13 |
 Central Limit Theorem - Proof
|
7:11 | 2020-03-18 |
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Data from the YouTube Data API as of 2026-09-22 (cached). Private or deleted videos are excluded from totals.