About this Course

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Learner Career Outcomes

40%

started a new career after completing these courses

38%

got a tangible career benefit from this course

24%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 20 hours to complete
English

Skills you will gain

TensorflowBigqueryMachine LearningData Cleansing

Learner Career Outcomes

40%

started a new career after completing these courses

38%

got a tangible career benefit from this course

24%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 20 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up92%(3,254 ratings)Info
Week
1

Week 1

8 minutes to complete

Introduction to Course

8 minutes to complete
2 videos (Total 8 min)
2 videos
Getting Started with Google Cloud and Qwiklabs3m
4 hours to complete

Improve Data Quality and Exploratory Data Analysis

4 hours to complete
5 videos (Total 29 min), 1 reading, 4 quizzes
5 videos
Improve Data Quality13m
Lab Intro Improve Data Quality1m
Exploratory Data Anlaysis13m
Lab Intro Exploratory Data Analysis46s
1 reading
Resources10m
2 practice exercises
Practice Quiz on Improve Data Quality30m
Practice Quiz on Exploratory Data Analysis30m
Week
2

Week 2

8 hours to complete

Practical ML

8 hours to complete
13 videos (Total 63 min), 1 reading, 11 quizzes
13 videos
Supervised Learning5m
Regression and Classification11m
Short History of ML: Linear Regression7m
Short History of ML: Perceptron5m
Short History of ML: Neural Networks7m
Lab Intro: Introduction to Linear Regression26s
Lab Intro: Introduction to Logistic Regression21s
Short History of ML: Decision Trees5m
Short History of ML: Random Forests4m
Lab Intro: Decision Trees and Random Forests in Python30s
Short History of ML: Kernel Methods4m
Short History of ML: Modern Neural Networks8m
1 reading
Resources10m
8 practice exercises
Supervised Learning30m
Regression and Classification30m
Linear Regression30m
Perceptron30m
Neural Networks30m
Decision Trees 30m
Kernel Methods30m
History of ML: Modern Neural Networks30m
Week
3

Week 3

3 hours to complete

Optimization

3 hours to complete
13 videos (Total 61 min), 1 reading, 4 quizzes
13 videos
Defining ML Models4m
Introducing the Course Dataset6m
Introduction Loss Functions6m
Gradient Descent5m
Troubleshooting Loss Curves2m
ML Model Pitfalls6m
Lecture Lab: Introducing the TensorFlow Playground6m
Lecture Lab: TensorFlow Playground - Advanced3m
Lecture Lab: Practicing with Neural Networks6m
Loss Curve Troubleshooting2m
Performance Metrics3m
Confusion Matrix5m
1 reading
Resources10m
4 practice exercises
Lesson Quiz 30m
Lesson Quiz30m
Lesson Quiz30m
Module Quiz30m
Week
4

Week 4

4 hours to complete

Generalization and Sampling

4 hours to complete
9 videos (Total 64 min), 1 reading, 4 quizzes
9 videos
Generalization and ML Models6m
When to Stop Model Training5m
Lecture Creating Repeatable Samples in BigQuery6m
LectureDemo: Splitting Datasets in BigQuery8m
Lab Introduction Creating Repeatable Dataset Splits in BigQuery1m
Lab Solution Walkthrough Creating Repeatable Dataset Splits in BigQuery9m
Lab Introduction Exploring and Creating ML Datasets2m
Lab Solution Walkthrough Exploring and Creating ML Datasets23m
1 reading
Resources10m
2 practice exercises
Generalization and ML Models30m
Module Quiz30m
1 hour to complete

Summary

1 hour to complete
1 video (Total 4 min), 2 readings, 1 quiz
1 video
2 readings
Resources - Readings Compiled as PDF10m
Quiz Questions as a PDF10m
1 practice exercise
Course Quiz30m

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About the Machine Learning with TensorFlow on Google Cloud Platform Specialization

Machine Learning with TensorFlow on Google Cloud Platform

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