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Beginners Guide to Machine Learning on GCP
5 min readJul 29, 2020
This blog covers basic knowledge needed to get started ML journey on GCP. It provides foundational knowledge which will help readers to gain some level of confidence understanding ML ecosystem on GCP from where they can master each component.
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Introduction to Machine Learning
- Machine Learning is a way to use some set of algorithms to derive predictive analytics from data. It is different than Business Intelligence and Data Analytics in a sense that In BI and Data analytics Businesses make decision based on historical data, but In case of Machine Learning , Businesses predict the future based on the historical data. Example, It’s a difference between what happened to the business vs what will happen to the business.Its like making BI much smarter and scalable so that it can predict future rather than just showing the state of the business.
- ML is based on Standard algorithms which are used to create use case specific model based on the data . For example we can build the model to predict delivery time of the food, or we can build the model to predict the Delinquency rate in Finance business , but to build these model algorithm might be similar but the training would be different.Model training requires tones of…
