machine -91BT -最全磁力搜索引擎

The Time Machine (2002).mkv

The Time Machine (2002).mkv 11.6 GB

[磁力链接] 添加时间:2022-10-18 大小:11.6 GB 最近下载:2026-06-13 热度:11563

Soft Machine (mp3)

Soft Machine (mp3) 11.5 GB

[磁力链接] 添加时间:2024-06-29 大小:11.5 GB 最近下载:2026-06-12 热度:4778

[FreeCourseSite.com] Udemy - Machine Learning with Javascript

5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4 196.4 MB
6. Gradient Descent with Tensorflow/13. How it All Works Together!.mp4 150.8 MB
2. Algorithm Overview/13. Investigating Optimal K Values.mp4 135.4 MB
5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.mp4 132.9 MB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.vtt 129.2 MB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.mp4 129.1 MB
7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.mp4 127.3 MB
5. Getting Started with Gradient Descent/7. Gradient Descent in Action.mp4 121.0 MB
3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.mp4 119.8 MB
1. What is Machine Learning/3. A Complete Walkthrough.mp4 114.4 MB
11. Multi-Value Classification/4. A Single Instance Approach.vtt 108.6 MB
11. Multi-Value Classification/4. A Single Instance Approach.mp4 108.6 MB
6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4 106.7 MB
13. Performance Optimization/6. Measuring Memory Usage.mp4 101.3 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4 99.8 MB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4 98.0 MB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4 97.9 MB
4. Applications of Tensorflow/11. Normalization or Standardization.mp4 97.5 MB
6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.mp4 95.2 MB
4. Applications of Tensorflow/8. Loading CSV Data.mp4 93.7 MB

[磁力链接] 添加时间:2020-03-01 大小:11.5 GB 最近下载:2026-06-11 热度:634

[UdemyCourseDownloader] Machine Learning Engineer Nanodegree

[UdemyCourseDownloader] Machine Learning Engineer Nanodegree 11.5 GB

[磁力链接] 添加时间:2020-06-15 大小:11.5 GB 最近下载:2026-06-11 热度:1247

[Anarchy] Yojouhan Time Machine Blues (BD 1080p)

[Anarchy] Yojouhan Time Machine Blues - 01 (BD 1080p) [C0FC090A].mkv 3.2 GB
[Anarchy] Yojouhan Time Machine Blues - 05 (BD 1080p) [057B50AF].mkv 2.1 GB
[Anarchy] Yojouhan Time Machine Blues - 02 (BD 1080p) [380F338A].mkv 2.1 GB
[Anarchy] Yojouhan Time Machine Blues - 04 (BD 1080p) [361CD530].mkv 1.8 GB
[Anarchy] Yojouhan Time Machine Blues - 03 (BD 1080p) [11E9C9B0].mkv 1.6 GB
[Anarchy] Yojouhan Time Machine Blues - 06 [F77291C1].mkv 614.1 MB

[磁力链接] 添加时间:2024-04-10 大小:11.5 GB 最近下载:2026-06-14 热度:2665

Хардкорный Machine Learning

4 часть/1.1 Основы статистики и статистические критерии.mkv 539.4 MB
2 Часть/2 Урок- Построение модели предсказания цены.mkv 538.9 MB
2 Часть/4 Урок- Первое знакомство с динамическим ценообразованием.mkv 504.8 MB
2 Часть/15 Разбор финального проекта ДЗ по блоку -Динамическое ценообразование-.mp4 492.6 MB
1 Часть/Разбор заданий/17 Разбор ДЗ 5 урока.mkv 409.7 MB
3 Часть/4 Урок- Как спроектировать свою библиотеку факторов.mkv 391.7 MB
4 часть/6.1 Урок- Линеаризация. Многопараметрический дельта метод.mkv 381.0 MB
4 часть/7.1 Урок- Множественное тестирование.mp4 350.9 MB
4 часть/4.2 Урок- Стратификация.mkv 295.9 MB
4 часть/0. Введение- Основы статистики.mkv 293.8 MB
2 Часть/6 Урок- Скрещивание динамического и классического ценообразования.mkv 278.4 MB
5 часть/2 Урок- Application service & Service Discovery_2.mp4 272.7 MB
4 часть/4.1 Урок- Стратификация.mkv 268.8 MB
1 Часть/Разбор заданий/16 Разбор ДЗ 6 урока.mkv 245.2 MB
3 Часть/2 Урок- Разбор методов построения Uplift моделей.mkv 241.0 MB
3 Часть/3 Урок- Uplift сложных метрик Expected value framework.mkv 237.4 MB
2 Часть/9 Урок - Многорукие бандиты в проде.mkv 229.0 MB
4 часть/5.1 Урок- CUPED. Семинар.mkv 224.7 MB
2 Часть/13 Разбор 3го домашнего задания. К Уроку 6.mp4 222.6 MB
3 Часть/1.2 Урок- Введение в uplift-моделирование.mkv 221.4 MB

[磁力链接] 添加时间:2023-04-16 大小:11.5 GB 最近下载:2026-06-13 热度:19760

[FreeCourseSite.com] Udemy - Machine Learning with Javascript

5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4 196.4 MB
6. Gradient Descent with Tensorflow/13. How it All Works Together!.mp4 150.8 MB
2. Algorithm Overview/13. Investigating Optimal K Values.mp4 135.4 MB
5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.mp4 132.9 MB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.mp4 129.1 MB
7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.mp4 127.3 MB
5. Getting Started with Gradient Descent/7. Gradient Descent in Action.mp4 121.0 MB
3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.mp4 119.8 MB
1. What is Machine Learning/3. A Complete Walkthrough.mp4 114.4 MB
2. Algorithm Overview/12. Refactoring Accuracy Reporting.srt 109.7 MB
11. Multi-Value Classification/4. A Single Instance Approach.mp4 108.6 MB
6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4 106.7 MB
13. Performance Optimization/6. Measuring Memory Usage.mp4 101.3 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4 99.8 MB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4 98.0 MB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4 97.9 MB
4. Applications of Tensorflow/11. Normalization or Standardization.mp4 97.5 MB
6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.mp4 95.2 MB
4. Applications of Tensorflow/8. Loading CSV Data.mp4 93.7 MB
12. Image Recognition In Action/8. Debugging the Calculation Process.mp4 93.4 MB