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Machine Learning Fundamentals with Scala and Apache Spark Training Course
Course
Online
Description
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Type
Course
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Methodology
Online
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Scala programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
About this course
Knowledge of Java/Scala programming language. Basic familiarity with statistics and linear algebra is recommended.
Reviews
Subjects
- Evaluation
- Apache
- Algorithms
- Trade
- Programming
Course programme
- Statistical learning vs. Machine learning
- Iteration and evaluation
- Bias-Variance trade-off
- Choice of libraries
- Add-on tools
- Linear regression
- Generalizations and Nonlinearity
- Exercises
- Bayesian refresher
- Naive Bayes
- Logistic regression
- K-Nearest neighbors
- Exercises
- Cross-validation approaches
- Bootstrap
- Exercises
- K-means clustering
- Examples
- Challenges of unsupervised learning and beyond K-means
Additional information
Machine Learning Fundamentals with Scala and Apache Spark Training Course
