Smart Analytics, Machine Learning and AI on Google Cloud

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Google Cloud

1:39:54

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01 - Introduction

01 - Course Introduction.mp4

01:17

02 - Getting started with GCP and Qwiklabs.mp4

03:48

02 - Introduction to Analytics and AI

03 - What is ML.mp4

08:13

04 - Machine Learning and AI.mp4

03:42

05 - ML options on Google Cloud Platform.mp4

01:13

06 - Game -Reviewing key ML concepts.mp4

05:12

03 - Prebuilt ML model APIs for Unstructured Data

07 - Unstructured Data is Hard.mp4

03:42

08 - ML APIs for Enriching Data.mp4

04:57

09 - Lab Intro -Using the Natural Language API to Classify Unstructured Text.mp4

00:47

10 - Using the Natural Language API to classify unstructured text.mp4

00:10

04 - Big Data Analytics with Cloud AI Platform Notebooks

11 - Whats a Notebook.mp4

04:49

12 - BigQuery Magic and Ties to Pandas.mp4

01:36

13 - Lab Intro -BigQuery in Jupyter Labs on AI Platform.mp4

00:28

14 - BigQuery in Jupyter Labs on AI Platform.mp4

00:10

05 - Productionizing Custom ML Models

15 - Phases of ML Projects.mp4

02:37

16 - Ways to do custom ML on GCP.mp4

05:22

17 - Kubeflow.mp4

04:53

18 - AI Hub.mp4

01:14

19 - Lab Intro -Running AI models on Kubeflow.mp4

00:11

20 - Running AI models on Kubeflow.mp4

00:10

21 - Summary.mp4

00:23

06 - Custom Model building with SQL in BigQuery ML

22 - BigQuery ML for Quick Model Building.mp4

05:47

23 - Classification, Regregression, and Recommender Models.mp4

05:26

24 - Unsupervised ML with Clustering Models.mp4

02:46

25 - Lab Intro -Predict Bike Trip Duration with a Regression Model in BQML.mp4

00:19

26 - Predict Bike Trip Duration with a Regression Model in BQML.mp4

00:10

27 - Lab Intro -Movie Recommendations in BigQuery ML.mp4

00:16

28 - Movie Recommendations in BigQuery ML.mp4

00:10

29 - Summary.mp4

00:15

07 - Custom Model Building with Cloud AutoML

30 - Why Auto ML.mp4

13:22

31 - Auto ML Vision.mp4

02:36

32 - Auto ML NLP.mp4

03:18

33 - Auto ML Tables.mp4

07:05

08 - Summary

34 - Course Summary.mp4

03:30

Description

What You'll Learn?

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.

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Machine Learning

Artificial Intelligence

Data Analysis

Google Cloud

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Google 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

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Pluralsight, 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.