Product description: Machine Learning - decision trees and random forests course
The online course Machine Learning - Decision Trees and Random Forests addresses the use of artificial intelligence in solving real-world problems. It covers decision trees, i.e. operating on logical systems used to make decisions, and practical skills in modeling data sets. Intermediate level course.
The future of the world is machine learning
Those who have encountered machine learning need no convincing about this field. Artificial intelligence research, or rather the results of this research already available, includes a number of models that work well for certain specific families of problems. Decision trees and derived methods perform well in classification, regression, and anomaly detection, making them among the most versatile. The course shows the algorithms from both the theoretical and practical sides.
Developing your knowledge of ML and Python
Suppose you can already program in Python and are looking for a new challenge, You know the basics of machine learning but decision trees are alien to you. The course will make you gain an understanding of algorithms and transfer them to your own fascinating projects. The level rises gradually - first problems solved with the help of one tree, and later on in the course more trees appear. The examples will be simple and close to everyday life - such as a decision to buy a car or a comparison of apartment prices.
Overview of the course content
- Advanced data importing
- Combining data from multiple sources
- Creating relationships between tables
- Organizing Big Data
- Exporting Data to a Pivot Table
- Refreshing Changed Data Sets
- Automatic Relation Detection
- Analyzing and processing data using DAX language
What is Power Pivot?
Power P ivot is a feature of Microsoft Excel. It is available as an add-in in Excel 2010, 2013 in separate downloads and as an add-in included in Excel 2016. Power Pivot extends a local instance of Microsoft Analysis Services Tabular that is embedded directly into an Excel workbook. It remains an invaluable tool for modeling and analyzing data.
For database enthusiasts and those who want to learn it
Prior to the release of Power Pivot, Microsoft relied heavily on SQL Server Analysis Services as the engine for its Business Intelligence suite. Power Pivot complements the core BI components of SQL Server within the vision of the Business Intelligence Semantic Model (BISM). It aims to integrate multidimensional analytics on disk formerly known as the Unified Dimensional Model (UDM) with a more flexible in-memory tabular model. As a self-service product, Power Pivot allows users to create data models and calculations without analytics skills and share them directly or through Microsoft SharePoint document libraries.
Machine learning and deep learning (DL, or deep learning) are emerging fields. They remain closely related to programming skills. Also explore books for programmers and the textbook Deep Learning. Working with the Python language and the Keras library by François Chollet.
- Unlimited access, including 24/7 mobile access
- 6.5 hours of training
- Tests and assignments
- 40 lectures
- 20 test questions
- Certificate of completion
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Table of contents
Module 1: Introduction
Module 2: Decision trees in classification
Module 3: Regression with decision trees
Module 4: Extensions of decision trees
Module 5: Anomaly detection
Module 6: Decision tree capabilities