Book Image

Machine Learning with Scala [Video]

By : Alex Minnaar
Book Image

Machine Learning with Scala [Video]

By: Alex Minnaar

Overview of this book

<p>The ability to apply machine learning techniques to large datasets is becoming a highly sought-after skill in the world of technology. Scala can help you deliver key insights into your data—its unique capabilities as a language let you build sophisticated algorithms and statistical models. For this reason, machine learning and Scala fit together perfectly and knowledge of both would be beneficial for anyone entering the data science field.</p> <p>The course starts with a general introduction to the Scala programming language. From there, you’ll be introduced to several practical machine learning algorithms from the areas of exploratory data analysis. You’ll look at supervised learning machine learning models for prediction and classification tasks, and unsupervised learning techniques such as clustering and dimensionality reduction and neural networks.</p> <p>By the end, you will be comfortable applying machine learning algorithms to solve real-world problems using Scala.</p>
Table of Contents (6 chapters)
Chapter 2
Exploratory Data Analysis with Scala
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Section 1
Exploratory Data Analysis
This video aims to present the concept of exploratory data analysis, including various EDA techniques and why they are useful. - Give a brief explanation regarding why exploratory data analysis is important. Explain the importance of exploratory data analysis. - Explain what descriptive statistics are and why they are useful in the context of exploratory data analysis. - Explain visualization techniques such as histograms and scatter plots and why they are important in the context of exploratory data analysis. Understand visualization techniques such as histograms and scatter plots.