Launching into Machine Learning
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Google Cloud
3:18:32
52 View
01 - Introduction.mp4
04:24
02 - Getting Started with Google Cloud Platform and Qwiklabs.mp4
03:43
03 - Introduction to Practical ML.mp4
01:25
04 - Supervised Learning.mp4
05:42
05 - Regression and Classification.mp4
11:08
06 - Short history of ML - Linear Regression.mp4
07:52
07 - Short history of ML - Perceptron.mp4
05:11
08 - Short history of ML - Neural Networks.mp4
07:44
09 - Short history of ML - Decision Trees.mp4
05:34
10 - Short history of ML - Kernel Methods.mp4
04:38
11 - Short history of ML - Random Forests.mp4
04:32
12 - Short history of ML - Modern Neural Networks.mp4
08:32
13 - Introduction to Optimization.mp4
00:54
14 - Defining ML Models.mp4
04:17
15 - Introducing the Course Dataset.mp4
06:27
16 - Introducing Loss Functions.mp4
06:55
17 - Gradient Descent.mp4
05:07
18 - Troubleshooting a Loss Curve.mp4
02:35
19 - ML Model Pitfalls.mp4
06:28
20 - Activity - Introducing the TensorFlow Playground.mp4
06:19
21 - Activity - TensorFlow Playground - Advanced.mp4
03:32
22 - Activity - Practicing with Neural Networks.mp4
06:53
23 - Activity - Loss Curve Troubleshooting.mp4
01:51
24 - Performance Metrics.mp4
03:35
25 - Confusion Matrix.mp4
05:47
26 - Introduction to Generalization and Sampling.mp4
02:02
27 - Generalization and ML Models.mp4
06:00
28 - When to Stop Model Training.mp4
05:05
29 - Creating Repeatable Samples in BigQuery.mp4
06:42
30 - Demo - Creating Repeatable Samples in BigQuery.mp4
08:51
31 - Lab Intro - Creating Repeatable Dataset Splits.mp4
01:10
32 - [ML on GCP C2] Creating repeatable splits in BigQuery.mp4
00:10
33 - Lab Solution - Creating Repeatable Dataset Splits.mp4
09:08
34 - Lab Intro - Exploring and Creating ML Datasets.mp4
02:15
35 - [ML on GCP C2] Exploring and Creating ML Datasets.mp4
00:10
36 - Lab Solution - Exploring and Creating ML Datasets.mp4
23:00
37 - Summary.mp4
02:54
Description
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent.
What You'll Learn?
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way so as to support experimentation.
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Google Cloud
Instructor's CoursesGoogle Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.
Pluralsight
View courses PluralsightPluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
- language english
- Training sessions 37
- duration 3:18:32
- level average
- Release Date 2023/10/11
