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PROUDLY PRESENTING:
Building.Machine.Learning.Models.in.SQL.Using.BigQuery.ML
INFORMATION:
Date............: 21-11-18
Rars............: 10 x 15mb
Course Length...: 1 hr 27 mins
Website.........: https://www.pluralsight.com
Release Notes...:
This course demonstrates how to build and train machine learning
models for linear and logistic regression using SQL commands on
BigQuery, the Google Cloud Platform's serverless data warehouse.
In this course, Building Machine Learning Models in SQL Using
BigQuery ML, you'll learn how to build and train machine learning
models and how to employ those models for prediction - all with
just simple SQL commands on data stored in BigQuery. First, you'll
understand the different choices available on the GCP if you would
like to build and train your models and see how you can make the
right choice between these services for your specific use case.
Then, you'll work with some real-world datasets stored in BigQuery
to build linear regression and binary classification models. Because
BigQuery allows you to specify training parameters to build and train
your model in SQL, machine learning is made accessible to even those
who are not familiar with high-level programming languages. Last,
you'll study how to analyze the models that we built using evaluation
and feature inspection functions in BigQuery, and run BigQuery commands
on Cloud Datalab using a Jupyter notebook that is hosted on the GCP and
closely integrated with all of GCPs services. By the end of this course,
you'll have a good understanding of how you can use BigQuery ML to extract
insights from your data by applying linear and logistic regression models.
Install Notes...:
Unrar, Learn and Enjoy!
GREETINGS:
- KNOWN - HONOR - SKIDROW - DARKSiDERS - DAUDiO - JAVSiDERS - dbOOk - z0ne -