Applied Machine Learning with BigQuery on Google's Cloud

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[ FreeCourseWeb.com ] Udemy - Applied Machine Learning with BigQuery on Google's Cloud
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction-en_US.srt (3.8 KB)
    • 1. Introduction.mp4 (4.8 MB)
    • 2. Section Introduction-en_US.srt (3.9 KB)
    • 2. Section Introduction.mp4 (7.5 MB)
    • 3. Scaling Out Instead of Up-en_US.srt (2.3 KB)
    • 3. Scaling Out Instead of Up.mp4 (20.2 MB)
    • 4. Google's Scaled Out Revolution-en_US.srt (6.0 KB)
    • 4. Google's Scaled Out Revolution.mp4 (10.5 MB)
    • 5. Demo Creating an Account on Google's Cloud Platform-en_US.srt (6.6 KB)
    • 5. Demo Creating an Account on Google's Cloud Platform.mp4 (20.3 MB)
    2. BigQuery Basics
    • 1. Section Introduction-en_US.srt (2.8 KB)
    • 1. Section Introduction.mp4 (8.0 MB)
    • 2. BigQuery Defined-en_US.srt (3.1 KB)
    • 2. BigQuery Defined.mp4 (6.8 MB)
    • 3. BigQuery Stores Structured Data-en_US.srt (2.5 KB)
    • 3. BigQuery Stores Structured Data.mp4 (2.8 MB)
    • 4. Parallel Execution-en_US.srt (1.9 KB)
    • 4. Parallel Execution.mp4 (4.6 MB)
    • 5. Demo Web UI-en_US.srt (2.4 KB)
    • 5. Demo Web UI.mp4 (7.1 MB)
    • 6. What BigQuery Is Not-en_US.srt (2.9 KB)
    • 6. What BigQuery Is Not.mp4 (6.6 MB)
    • 7. BigQuery Technology Stack-en_US.srt (3.6 KB)
    • 7. BigQuery Technology Stack.mp4 (4.4 MB)
    • 8. Demo Navigation Basics-en_US.srt (6.7 KB)
    • 8. Demo Navigation Basics.mp4 (23.0 MB)
    3. An Introduction to Applied Machine Learning
    • 1. Section Introduction-en_US.srt (2.3 KB)
    • 1. Section Introduction.mp4 (2.6 MB)
    • 10. Basic Jupyter Notebook Navigation-en_US.srt (8.2 KB)
    • 10. Basic Jupyter Notebook Navigation.mp4 (23.7 MB)
    • 2. Three Core Careers-en_US.srt (4.4 KB)
    • 2. Three Core Careers.mp4 (6.7 MB)
    • 3. Applied Machine Learning-en_US.srt (3.2 KB)
    • 3. Applied Machine Learning.mp4 (14.3 MB)
    • 4. The Machine Learning Process-en_US.srt (3.5 KB)
    • 4. The Machine Learning Process.mp4 (6.0 MB)
    • 5. Types of Machine Learning-en_US.srt (5.5 KB)
    • 5. Types of Machine Learning.mp4 (6.5 MB)
    • 6. Why Python is King-en_US.srt (2.4 KB)
    • 6. Why Python is King.mp4 (3.0 MB)
    • 7. Install Python on Windows-en_US.srt (2.2 KB)
    • 7. Install Python on Windows.mp4 (7.1 MB)
    • 8. Install Python on a MAC-en_US.srt (3.7 KB)
    • 8. Install Python on a MAC.mp4 (60.8 MB)
    • 9. The Array-en_US.srt (2.0 KB)
    • 9. The Array.mp4 (2.7 MB)
    4. Machine Learning Libraries
    • 1. Section Overview-en_US.srt (2.7 KB)
    • 1. Section Overview.mp4 (3.0 MB)
    • 2. Core Machine Learning Libraries-en_US.srt (3.3 KB)
    • 2. Core Machine Learning Libraries.mp4 (4.2 MB)
    • 3. Demo Core Machine Learning Libraries-en_US.srt (10.7 KB)
    • 3. Demo Core Machine Learning Libraries.mp4 (30.1 MB)
    • 4. Sourcing Data-en_US.srt (6.8 KB)
    • 4. Sourcing Data.mp4 (30.6 MB)
    • 5. Exploratory Data Analysis-en_US.srt (6.8 KB)
    • 5. Exploratory Data Analysis.mp4 (20.8 MB)
    • 6. Data Cleansing-en_US.srt (3.9 KB)
    • 6. Data Cleansing.mp4 (5.8 MB)
    • 7. Demo Modeling-en_US.srt (5.0 KB)
    • 7. Demo Modeling.mp4 (14.1 MB)
    • Modeling-Cleansed-Data-Decision-Tree.ipynb (12.8 KB)
    5. Classification and Regression
    • 1. Section Introduction-en_US.srt (2.3 KB)
    • 1. Section Introduction.mp4 (2.8 MB)
    • 2. Linear Regression-en_US.srt (2.9 KB)
    • 2. Linear Regression.mp4 (3.0 MB)
    • 3. Demo Linear Regression-en_US.srt (3.7 KB)
    • 3. Demo Linear Regression.mp4 (9.5 MB)
    • 4. Classification-en_US.srt (1.9 KB)
    • 4. Classification.mp4 (2.6 MB)
    • 5. Demo Classification-en_US.srt (5.7 KB)
    • 5. Demo Classification.mp4 (16.8 MB)
    • 6. What is an Artificial Neural Network-en_US.srt (5.2 KB)
    • 6. What is an Artificial Neural Network.mp4 (18.9 MB)
    6. Machine Learning with BigQuery
    • 1. Section Introduction-en_US.srt (3.8 KB)
    • 1. Section Introduction.mp4 (4.5 MB)
    • 10. Installing the Google Cloud SDK-en_US.srt (4.3 KB)
    • 10. Installing the Google Cloud SDK.mp4 (20.2 MB)
    • 11. Demo gsutil Navigation Basics-en_US.srt (5.7 KB)
    • 11. Demo gsutil Navigation Basics.mp4 (24.7 MB)
    • 12. Demo Segmenting Datasets-en_US.srt (8.9 KB)
    • 12. Demo Segmenting Datasets.mp4 (49.5 MB)
    • 2. Datasets and Tables-en_US.srt (4.8 KB)
    • 2. Datasets and Tables.mp4 (15.0 MB)
    • 3. Demo Datasets and Tables-en_US.srt (2.8 KB)
    • 3. Demo Datasets and Tables.mp4 (11.6 MB)
    • 4. Demo Cloud Datalab-en_US.srt (4.0 KB)
    • 4. Demo Cloud Datalab.mp4 (9.7 MB)
    • 5. Demo Modeling the Titanic Dataset in Cloud Datalab-en_US.srt (4.3 KB)
    • 5. Demo Modeling the Titanic Dataset in Cloud Datalab.mp4 (14.8 MB)
    • 6. Demo Modeling the Iris Dataset on Cloud Datalab-en_US.srt (6.6 KB)
    • 6. Demo Modeling the Iris Dataset on Cloud Datalab.mp4 (32.4 MB)
    • 7. Demo Scale Cloud Datalab-en_US.srt (2.4 KB)
    • 7. Demo Scale Cloud Datalab.mp4 (11.2 MB)
    • 8. BigQuery ML-en_US.srt (2.3 KB)
    • 8. BigQuery ML.mp4 (3.0 MB)
    • 9. Demo BigQuery ML Binary Logistic Regression-en_US.srt (5.2 KB)
    • 9. Demo BigQuery ML Binary Logistic Regression.mp4 (20.9 MB)
    • Bonus Resources.txt (0.3 KB)

Description

Applied Machine Learning with BigQuery on Google's Cloud



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 640 MB | Duration: 2h 26m
What you'll 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

Requirements
You should have a basic knowledge of SQL
You should have basic knowledge of machine learning
Description
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.



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Applied Machine Learning with BigQuery on Google's Cloud

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640.1 MB
seeders:4
leechers:6
Applied Machine Learning with BigQuery on Google's Cloud

Torrent hash: F6567874412EA87306E79E557B2E823A9EDAD5BB