Published
In this episode, we’ll write a basic pipeline for supervised learning with just 12 lines of code. Along the way, we'll talk about training and testing data. Then, we’ll work on our intuition for what it means to “learn” from data.
Check out TensorFlow Playground:
New! Follow @random_forests for updates on new episodes.
Subscribe to the Google Developers:
Check out TensorFlow Playground:
New! Follow @random_forests for updates on new episodes.
Subscribe to the Google Developers:
- Category
- Tutorials
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
09:53
Let’s Write a Decision Tree Classifier from Scratch: Machine Learning Recipes #8
-
12:46
What's new in Android machine learning
-
07:01
Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7
-
06:42
Visualizing a Decision Tree - Machine Learning Recipes #2
-
08:44
Writing Our First Classifier - Machine Learning Recipes #5
-
08:12
I/O '18 Guide - Machine Learning
-
11:14
Artificial Intelligence, Machine Learning, and Deep Learning
-
15:34
Machine Learning Foundations: Ep #1 - What is ML?
-
07:07
Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6
-
04:43
Machine Learning basics
-
10:40
Demystifying Machine Learning
-
09:24
Getting Started with Weka - Machine Learning Recipes #10
-
00:58
Where can YOU learn about machine learning?
-
03:25
Wide & Deep Learning with TensorFlow - Machine Learning
-
04:04
TensorFlow: Machine Learning for Everyone
-
06:09
I/O '17 Guide - Machine Learning
-
07:38
Intro to Feature Engineering with TensorFlow - Machine Learning Recipes #9
-
09:30
What's new in Android Machine Learning
-
12:12
Machine learning for Accessibility
-
05:41
What Makes a Good Feature? - Machine Learning Recipes #3
-
11:25
What is machine learning?
-
06:53
Hello World - Machine Learning Recipes #1
Loading...