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Applied Machine Learning with BigQuery on Google's Cloud

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Applied Machine Learning with BigQuery on Google's Cloud, available at $34.99, has an average rating of 4.36, with 48 lectures, based on 7 reviews, and has 70 subscribers.

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You will learn about You'll receive an introduction to BigQuery specific to machine learning You Learn the Basics of the Google Cloud Platform, specific to BigQuery You'll learn the basics of applied machine learning from a machine learning engineer Learn how to building your own machine learning models at scale using BigQuery This course is ideal for individuals who are If you're interested in learning how to build real-world models at scale, this course is for you or If you want to learn the most used service on GCP, this course is for you or If you want to learn why so many machine learning engineers use BigQuery, this course is for you It is particularly useful for If you're interested in learning how to build real-world models at scale, this course is for you or If you want to learn the most used service on GCP, this course is for you or If you want to learn why so many machine learning engineers use BigQuery, this course is for you.

Enroll now: Applied Machine Learning with BigQuery on Google's Cloud

Summary

Title: Applied Machine Learning with BigQuery on Google's Cloud

Price: $34.99

Average Rating: 4.36

Number of Lectures: 48

Number of Published Lectures: 48

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • You'll receive an introduction to BigQuery specific to machine learning
  • You Learn the Basics of the Google Cloud Platform, specific to BigQuery
  • You'll learn the basics of applied machine learning from a machine learning engineer
  • Learn how to building your own machine learning models at scale using BigQuery

Who Should Attend

  • If you're interested in learning how to build real-world models at scale, this course is for you
  • If you want to learn the most used service on GCP, this course is for you
  • If you want to learn why so many machine learning engineers use BigQuery, this course is for you

Target Audiences

  • If you're interested in learning how to build real-world models at scale, this course is for you
  • If you want to learn the most used service on GCP, this course is for you
  • If you want to learn why so many machine learning engineers use BigQuery, this course is for you

Welcome to Applied Machine Learning with BigQuery on Google’s Cloud.

Right now, applied machine learning is one of the most in-demand career fields in the world, and will continue to be for some time. Most of applied machine learning is supervised. That means models are built against existing datasets.

Most real-world machine learning models are built in the cloud or on large on-prem boxes.  In the real-world, we don’t built models on laptops or on desktop computers.

Google Cloud Platform’s BigQuery is a serverless, petabyte-scale data warehouse designed to house structured datasets and enable lightning fast SQL queries. Data scientists and machine learning engineers can easily move their large datasets to BigQuery without having to worry about scale or administration, so you can focus on the tasks that really matter – generating powerful analysis and insights.

In this course, you’ll:

  • Get an introduction to BigQuery ML.

  • Get a good introductory grounding in Google Cloud Platform, specific to BigQuery.

  • Learn the basics of applied machine learning.

  • Understand the history, architecture and use cases of BigQuery for machine learning engineers.

  • Learn how to building your own machine learning models at scale using BigQuery.

This is a mid-level course and basic experience with SQL and Python will help you get the most out of this course.

So what are you waiting for? Get hands-on with BigQuery and harness the benefits of GCP’s fully managed data warehousing service.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Section Introduction

Lecture 3: Scaling Out Instead of Up

Lecture 4: Google's Scaled Out Revolution

Lecture 5: Demo: Creating an Account on Google's Cloud Platform

Chapter 2: BigQuery Basics

Lecture 1: Section Introduction

Lecture 2: BigQuery Defined

Lecture 3: BigQuery Stores Structured Data

Lecture 4: Parallel Execution

Lecture 5: Demo: Web UI

Lecture 6: What BigQuery Is Not

Lecture 7: BigQuery Technology Stack

Lecture 8: Demo: Navigation Basics

Chapter 3: An Introduction to Applied Machine Learning

Lecture 1: Section Introduction

Lecture 2: Three Core Careers

Lecture 3: Applied Machine Learning

Lecture 4: The Machine Learning Process

Lecture 5: Types of Machine Learning

Lecture 6: Why Python is King

Lecture 7: Install Python on Windows

Lecture 8: Install Python on a MAC

Lecture 9: The Array

Lecture 10: Basic Jupyter Notebook Navigation

Chapter 4: Machine Learning Libraries

Lecture 1: Section Overview

Lecture 2: Core Machine Learning Libraries

Lecture 3: Demo: Core Machine Learning Libraries

Lecture 4: Sourcing Data

Lecture 5: Exploratory Data Analysis

Lecture 6: Data Cleansing

Lecture 7: Demo: Modeling

Chapter 5: Classification and Regression

Lecture 1: Section Introduction

Lecture 2: Linear Regression

Lecture 3: Demo: Linear Regression

Lecture 4: Classification

Lecture 5: Demo: Classification

Lecture 6: What is an Artificial Neural Network?

Chapter 6: Machine Learning with BigQuery

Lecture 1: Section Introduction

Lecture 2: Datasets and Tables

Lecture 3: Demo: Datasets and Tables

Lecture 4: Demo: Cloud Datalab

Lecture 5: Demo: Modeling the Titanic Dataset in Cloud Datalab

Lecture 6: Demo: Modeling the Iris Dataset on Cloud Datalab

Lecture 7: Demo: Scale Cloud Datalab

Lecture 8: BigQuery ML

Lecture 9: Demo: BigQuery ML Binary Logistic Regression

Lecture 10: Installing the Google Cloud SDK

Lecture 11: Demo: gsutil Navigation Basics

Lecture 12: Demo: Segmenting Datasets

Instructors

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  • 3 stars: 1 votes
  • 4 stars: 3 votes
  • 5 stars: 3 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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