Apache Spark MLlib - Large-Scale Machine Learning
The training provides an in-depth understanding of the Apache Spark MLlib library in the context of machine learning on large datasets. The program covers both the theoretical foundations of the algorithms and the practical aspects of implementing them in a distributed environment. Participants will learn advanced techniques for optimizing and scaling ML models and best practices for implementing production solutions.
Issues
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MLlib architecture
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Distributed Machine Learning
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Classification and regression algorithms
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Clustering techniques
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Recommendation systems
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Text processing
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Optimization of models
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Pipeline Management
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Model Deployment
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Monitoring and updating models
Benefits
- Acquire advanced knowledge in large-scale machine learning implementation
- Gain practical skills in designing and optimizing ML models
- Techniques for effective implementation of ML solutions in a production environment
- Assimilate methods for monitoring and updating machine learning models
- ML pipelines management
- Develop distributed computing skills for ML
Who is this training for?
Prerequisites
- Knowledge of the basics of machine learning
- Experience in Python or Scala programming
- Basic knowledge of Apache Spark
- Knowledge of statistics and mathematics
Training program
MLlib architecture
- Preparing data for learning
Basic ML algorithms
- Distributed Computing in ML
- Advanced algorithms and models
- Classification and regression
- Clustering and dimensionality reduction
- Recommendation systems
- Word processing and NLP
- Optimization and tuning of models
Cross-validation
- Hyperparameter tuning
- Quality assessment of models
Pipeline optimization
- Implementation and maintenance
- Deployment of ML models
- Monitoring and updating models
Version management
- ML Pipeline Management
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Apache Spark MLlib - Large-Scale Machine Learning training for?
The target audience includes Data Scientists working with large data sets, ML engineers implementing scalable solutions, and AI/ML solution architects. Level: advanced.
How long is the Apache Spark MLlib - Large-Scale Machine Learning training?
The training lasts 5 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
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