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Launching into Machine Learning
  • Level Foundation
  • المدة 14 ساعات hours
  • الطبع بواسطة Google Cloud
  • Offered by

عن

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

الوحدات

Introduction to the Course

    • 1 Videos
Show info about module content

1 Videos

  • Course introduction

Get to Know Your Data: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Improve Data through Exploratory Data Analysis

    • 8 Videos
    • 1 Readings
    • 2 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Get to know your data: Improve data through Exploratory Data Analysis

2 External Tool

  • Lab: Improving data quality
  • Lab: Exploratory Data Analysis using Python and BigQuery

8 Videos

  • Improve Data Quality
  • Getting Started with Google Cloud and Qwiklabs
  • Lab intro: Improve the quality of your data
  • Lab Demo: Improve the quality of your data
  • What is exploratory data analysis
  • How is EDA used in machine learning
  • Data analysis and visualization
  • Lab intro: Explore the data using Python and BigQuery

1 Readings

  • Resources: Get to know your data: Improve data through Exploratory Data Analysis

Machine Learning in Practice: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Supervised Learning

    • 5 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine Learning in Practice

1 External Tool

  • Lab: Introduction to linear regression

5 Videos

  • Supervised learning
  • Linear regression
  • Lab intro: Introduction to linear regression
  • Lab Demo: Intro to Linear Regression
  • Logistic regression

1 Readings

  • Resources: Machine Learning in Practice

Training AutoML Models Using Vertex AI: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Train AutoML models using Vertex AI

    • 4 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Training AutoML Models Using Vertex AI

4 Videos

  • Machine learning vs. deep learning
  • What is automated machine learning?
  • AutoML regression model
  • Evaluate AutoML models

1 Readings

  • Resources: Training AutoML Models Using Vertex AI

BigQuery Machine Learning: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Develop ML models where your data lives

    • 6 Videos
    • 1 Readings
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • BigQuery Machine Learning: Develop ML Models Where Your Data Lives

1 External Tool

  • Lab: Using BigQuery ML to predict penguin weight

6 Videos

  • Training an ML model using BigQuery ML
  • BigQuery Machine Learning supported models
  • Lab intro: Using BigQuery ML to predict penguin weight (BigQuery ML & Explainable AI)
  • Lab Demo: Using BigQuery ML to predict penguin weight (BigQuery ML & Explainable AI)
  • BigQuery ML hyperparameter tuning
  • How to build and deploy a recommendation system with BigQuery ML

1 Readings

  • Resources: BigQuery Machine Learning: Develop ML Models Where Your Data Lives

Optimization: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Defining ML Models

    • 3 Videos
Show info about module content

3 Videos

  • Defining ML models
  • Introducing the course dataset
  • Introduction to loss functions

Gradient Descent

    • 3 Videos
Show info about module content

3 Videos

  • Gradient descent
  • Troubleshooting loss curves
  • ML model pitfalls

TensorFlow Playground

    • 3 Videos
Show info about module content

3 Videos

  • Lecture lab: Introducing the TensorFlow Playground
  • Lecture lab: TensorFlow Playground - Advanced
  • Lecture lab: Practicing with neural networks

Performance Metrics

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Optimization

2 Videos

  • Performance metrics
  • Confusion matrix

1 Readings

  • Resources: Optimization

Generalization and Sampling: Module Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Introduction

Generalization

    • 2 Videos
Show info about module content

2 Videos

  • Generalization and ML models
  • When to stop model training

Sampling

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Generalization and Sampling

2 Videos

  • Creating repeatable samples in BigQuery
  • Demo: Splitting datasets in BigQuery

1 Readings

  • Resources: Generalization and Sampling

Course Summary

    • 4 Readings
Show info about module content

4 Readings

  • Summary
  • Resource: All quiz questions
  • Resource: All readings
  • Resource: All slides

Auto Summary

"Launching into Machine Learning" is an engaging and foundational course designed for those eager to delve into the world of Data Science and AI. Offered by Coursera, the course starts with essential discussions on improving data quality and performing exploratory data analysis. Learners will explore Vertex AI AutoML, gaining the ability to build, train, and deploy machine learning models effortlessly without any coding. The course also highlights the advantages of using Big Query ML. Beyond model building, participants will learn optimization techniques and how generalization and sampling can aid in assessing model quality for custom training. This 840-minute course is ideal for beginners and is available through a Starter subscription, making it accessible to a wide audience interested in machine learning.

Google Cloud Training
Instructor

Google Cloud Training