Training: Introduction to Machine Learning
Level
BeginnerDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedTraining: Introduction to Machine Learning
Machine Learning is the application of algorithms and mathematical models that enable computers to learn and make decisions based on data, without the need for explicitly defined programming instructions. Incorporating ML into the programming process allows the creation of applications that can adapt and improve their performance as they acquire new information.
What will you learn?
- You will understand what machine learning is and how to apply it in practice
- You will learn to work in an ML environment: Python, Jupyter, conda, and IDE tools
- You will consolidate key Python elements and explore its use in data analysis
- You will master the basics of statistics and practical approaches to data processing
Who is this training for?
For people interested in technological innovations and the use of artificial intelligence in everyday work-
For developers, data analysts, business analysts, marketers, designers, and anyone for whom machine learning can significantly facilitate work
Training Program
-
Introduction
- Goals and types of machine learning
- Difference between machine learning and deep learning
- Applications of machine learning in well-known examples
-
Programming Environment
- Configuring a conda virtual environment
- Configuring IDEs: Jupyter and PyCharm/VS Code
-
Python – Refresher
- Syntax
- Data types
- Functions
- Object-oriented programming
- IPython & Magics
-
Statistics in Practice – Only the Essentials in the Context of ML
- Basic concepts
- Distributions
- Correlation
-
Data Processing
- NumPy
- Pandas
- Data cleaning
- Data wrangling
- Data understanding
- Data visualization
- Data analysis
- Data storytelling
