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Big Data Machine Learning Course
Unlock the potential of data with our Big Data Machine Learning Course, tailored for technology professionals keen to excel. Delve into data collection, cleansing, and storage, master model optimisation using Bayesian techniques, and explore hyperparameter tuning. Learn to deploy scalable machine learning models, process real-time data streams, and integrate with existing systems. Gain expertise in Hadoop, Spark, and recommendation systems, while enhancing your skills in exploratory data analysis and anomaly detection. Enrol now to transform your career prospects.
- Master data cleaning: Improve data quality through effective preprocessing techniques.
- Optimise models: Enhance performance with advanced hyperparameter tuning methods.
- Deploy at scale: Implement scalable machine learning models for practical, real-world applications.
- Utilise big data: Leverage Hadoop and Spark for efficient data processing.
- Develop recommendations: Build robust systems using hybrid and collaborative filtering.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of data with our Big Data Machine Learning Course, tailored for technology professionals keen to excel. Delve into data collection, cleansing, and storage, master model optimisation using Bayesian techniques, and explore hyperparameter tuning. Learn to deploy scalable machine learning models, process real-time data streams, and integrate with existing systems. Gain expertise in Hadoop, Spark, and recommendation systems, while enhancing your skills in exploratory data analysis and anomaly detection. Enrol now to transform your career prospects.
Elevify advantages
Develop skills
- Master data cleaning: Improve data quality through effective preprocessing techniques.
- Optimise models: Enhance performance with advanced hyperparameter tuning methods.
- Deploy at scale: Implement scalable machine learning models for practical, real-world applications.
- Utilise big data: Leverage Hadoop and Spark for efficient data processing.
- Develop recommendations: Build robust systems using hybrid and collaborative filtering.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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