PluralSight - Google Cloud Big Data and Machine Learning Fundamentals
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size250.7 MB
- Uploaded Byfreecoursewb
- Downloads18
- Last checkedSep. 09th '22
- Date uploadedSep. 09th '22
- Seeders 1
- Leechers22
Google Cloud Big Data and Machine Learning Fundamentals 
https://CourseLala.com
Released 30/08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + vtt | Duration: 2h 31m | Size: 250.7 MB
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Files:
[ CourseLala.com ] PluralSight - Google Cloud Big Data and Machine Learning Fundamentals- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 02. Big Data and Machine Learning on Google Cloud
- 01. Introduction.mp4 (3.0 MB)
- 01. Introduction.vtt (2.9 KB)
- 02. Compute.mp4 (11.2 MB)
- 02. Compute.vtt (7.6 KB)
- 03. Storage.mp4 (6.7 MB)
- 03. Storage.vtt (6.4 KB)
- 04. The history of big data and ML products.mp4 (5.7 MB)
- 04. The history of big data and ML products.vtt (5.9 KB)
- 05. Big data and ML product categories.mp4 (3.6 MB)
- 05. Big data and ML product categories.vtt (3.1 KB)
- 06. Customer example - Gojek.mp4 (5.9 MB)
- 06. Customer example - Gojek.vtt (5.6 KB)
- 07. Pluralsight - Getting Started with GCP and Qwiklabs.mp4 (9.8 MB)
- 07. Pluralsight - Getting Started with GCP and Qwiklabs.vtt (5.3 KB)
- 08. Lab introduction - Exploring a BigQuery Public Dataset.mp4 (1.2 MB)
- 08. Lab introduction - Exploring a BigQuery Public Dataset.vtt (1.1 KB)
- 10. Summary.mp4 (1.9 MB)
- 10. Summary.vtt (1.7 KB)
- 01. Introduction.mp4 (4.1 MB)
- 01. Introduction.vtt (3.5 KB)
- 02. Big data challenges.mp4 (3.8 MB)
- 02. Big data challenges.vtt (2.9 KB)
- 03. Message-oriented architecture.mp4 (8.7 MB)
- 03. Message-oriented architecture.vtt (7.0 KB)
- 04. Designing streaming pipelines with Apache Beam.mp4 (3.8 MB)
- 04. Designing streaming pipelines with Apache Beam.vtt (3.2 KB)
- 05. Implementing streaming pipelines on Cloud Dataflow.mp4 (5.6 MB)
- 05. Implementing streaming pipelines on Cloud Dataflow.vtt (4.9 KB)
- 06. Visualization with Looker.mp4 (4.8 MB)
- 06. Visualization with Looker.vtt (4.2 KB)
- 07. Visualization with Data Studio.mp4 (2.3 MB)
- 07. Visualization with Data Studio.vtt (2.1 KB)
- 08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboard wit.mp4 (1.5 MB)
- 08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboard wit.vtt (1.3 KB)
- 10. Summary.mp4 (1.7 MB)
- 10. Summary.vtt (1.5 KB)
- 01. Introduction.mp4 (7.1 MB)
- 01. Introduction.vtt (7.5 KB)
- 02. Storage and analytics.mp4 (5.2 MB)
- 02. Storage and analytics.vtt (5.2 KB)
- 03. BigQuery demo - San Francisco bike share.mp4 (34.6 MB)
- 03. BigQuery demo - San Francisco bike share.vtt (18.0 KB)
- 04. Introduction to BigQuery ML.mp4 (7.2 MB)
- 04. Introduction to BigQuery ML.vtt (6.1 KB)
- 05. Using BigQuery ML to predict customer lifetime value.mp4 (8.0 MB)
- 05. Using BigQuery ML to predict customer lifetime value.vtt (6.7 KB)
- 06. BigQuery ML project phases.mp4 (3.5 MB)
- 06. BigQuery ML project phases.vtt (2.6 KB)
- 07. BigQuery ML key commands.mp4 (5.6 MB)
- 07. BigQuery ML key commands.vtt (4.6 KB)
- 08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML.mp4 (1.3 MB)
- 08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML.vtt (1.3 KB)
- 10. Summary.mp4 (2.7 MB)
- 10. Summary.vtt (2.3 KB)
- 01. Introduction.mp4 (7.0 MB)
- 01. Introduction.vtt (7.6 KB)
- 02. Data preparation.mp4 (4.6 MB)
- 02. Data preparation.vtt (4.6 KB)
- 03. Model training.mp4 (6.3 MB)
- 03. Model training.vtt (5.7 KB)
- 04. Model evaluation.mp4 (6.7 MB)
- 04. Model evaluation.vtt (6.9 KB)
- 05. Model deployment and monitoring.mp4 (5.4 MB)
- 05. Model deployment and monitoring.vtt (5.5 KB)
- 06. Lab introduction - Predicting loan risk with AutoML.mp4 (792.5 KB)
- 06. Lab introduction - Predicting loan risk with AutoML.vtt (0.8 KB)
- 08. Lab recap - Predicting loan risk with AutoML.mp4 (4.2 MB)
- 08. Lab recap - Predicting loan risk with AutoML.vtt (4.2 KB)
- 09. Summary.mp4 (1.2 MB)
- 09. Summary.vtt (1.1 KB)
- 1. Meet the author.mp4 (4.7 MB)
- 1. Meet the author.vtt (1.6 KB)
- 2. Course introduction.mp4 (7.0 MB)
- 2. Course introduction.vtt (6.3 KB)
- 1. Introduction.mp4 (3.7 MB)
- 1. Introduction.vtt (3.4 KB)
- 2. Options to build ML models.mp4 (5.5 MB)
- 2. Options to build ML models.vtt (5.2 KB)
- 3. Pre-built APIs.mp4 (3.8 MB)
- 3. Pre-built APIs.vtt (3.0 KB)
- 4. AutoML.mp4 (9.1 MB)
- 4. AutoML.vtt (10.2 KB)
- 5. Custom training.mp4 (1.9 MB)
- 5. Custom training.vtt (2.0 KB)
- 6. Vertex AI.mp4 (5.4 MB)
- 6. Vertex AI.vtt (5.4 KB)
- 7. AI Solutions.mp4 (3.1 MB)
- 7. AI Solutions.vtt (3.5 KB)
- 8. Summary.mp4 (2.9 MB)
- 8. Summary.vtt (2.8 KB)
- 1. Course summary.mp4 (6.7 MB)
- 1. Course summary.vtt (5.9 KB)
- Bonus Resources.txt (0.4 KB)
Code:
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