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Kickstart BigQuery on GCP in a Day
Duration: 1 Day Code: BDT184 Category:BigQuery is a data warehouse service that Google has developed using the Software as a Service (SaaS) principle on their cloud platform.
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Byte-Sized ML Series: Data Exploration and Analysis
Duration: 90 Minutes Code: BDT175 Category:This brief session will provide exposure to both data exploration and data analysis and their contributions to effective machine learning.
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Byte-Sized ML Basic Series: Machine Learning Model Optimization
Duration: 90 Minutes Code: BDT183 Category:A short session to review techniques for optimizing machine learning model performance.
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Byte-Sized ML Basic Series: Machine Learning Model Deployment
Duration: 90 Minutes Code: BDT182 Category:A short session exploring different ways to deploy machine learning models and some of the tools involved.
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Byte-Sized ML Basic Series: Recommendation Systems
Duration: 90 Minutes Code: BDT181 Category:A short course on understanding what recommendation systems are. Understand the different types of recommendation systems and the concept of collaborative filtering.
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Byte-Sized ML Basic Series: Linear Regression Model
Duration: 90 Minutes Code: BDT179 Category:In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data.
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Byte-Sized ML Series: Data Visualization
Duration: 90 Minutes Code: BDT176 Category:In this session, we will discuss the fundamentals of data visualization and we’ll examine its use in exposing hidden insights that can improve a machine learning model’s understanding of the data.
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Business Transformation with Cloud Computing
Duration: 1 Day Code: BDT174 Category:What are cloud technology and data science, and what can they do for you and your business?
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Cloud for Business Users
Duration: 1 Day Code: BDT173 Category:This course will guide you about cloud computing technology and describe its impact on IT scenario.
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Kickstart Snowflake in a Day
Duration: 1 Day Code: BDT172 Category:Snowflake was developed from ground up to use advanced cloud computing features provided by Software as a Service (SaaS).