Introduction to machine learning

Course code: MLIML

This course is intended for beginners who have no or limited experience with machine learning and want to do their first steps in this field. The participants will learn what machine learning is, what types of ML are the most typical in practical applications and how the basic algorithms work. We are not going to sink into mathematical formulas or complex proofs.  Instead, we will focus on an intuitive understanding of the principles, which are necessary for the ability to design machine learning models.

The course covers the introduction to classification, regression, clustering, and practical basics of artificial neural networks in Python.

300 EUR

363 EUR including VAT

The earliest date from 01.11.2022

Selection of dates
daniel
Do you have a question?
+420 731 175 867 edu@edutrainings.cz

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: 01.11.2022

Place : Praha

Type: Virtual

Course duration: 2 days

Language: en

Price without VAT: 300 EUR

Register

Starting date: Individual

Type: Individual

Course duration: 2 days

Language: cz

Price without VAT: 300 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
01.11.2022 Praha Virtual 2 days en 300 EUR Register
Individual Individual 2 days cz 300 EUR Register
G Guaranteed course

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Course structure

Day 1

  • What is machine learning?
  • Types of machine learning (classification, regression, ranking, reinforcement learning, clustering, anomaly detection, recommendation, optimization)
  • Data preparation (train, test and validation data sets, imbalanced and noisy data)
  • Classification model evaluation (accuracy, precision, recall, confusion matrix, ROC, AUC)
  • Basic algorithms for classification (baseline models, Naïve Bayes Classifier, Logistic regression, Support Vector Machines, decision trees, ensemble models)
  • Quick Scikit-Learn tutorial (how to load and transform data, training models, predicting values, model pipelines and evaluation)
  • Practical classification task
  • Basic algorithms for regression (analytical methods, gradient descent, SVR, regression trees)

Day 2

  • Basic algorithms for clustering (K-means, hierarchical clustering)
  • Practical clustering task
  • Introduction to artificial neural networks (why they are so popular, what their advantages and disadvantages are, perceptron neural network)
  • Most frequently used activation functions (Sigmoid, Linear, Tanh, Relu, Softmax)
  • Multi-Layer neural networks (back propagation algorithm, stochastic gradient descent, convolution, pooling, regularizations)
  • Quick tutorial to Keras (sequential models, optimizers, training, data workflow)
  • Practical classification and regression tasks using neural networks

Prerequisites

  • Basic knowledge of programing in Python
  • High school level of mathematics

Do you need advice or a tailor-made course?

daniel

Daniel Šťastný

product support

Follow-up courses

Machine Learning BootCamp en

Vendor: EDU Trainings

Area: Machine Learning

Price from

700 EUR without VAT

Convolutional neural networks and image processing en cz/sk

Vendor: EDU Trainings

Area: Machine Learning

Price from

155 EUR without VAT

Natural Language Processing en cz/sk

Vendor: EDU Trainings

Area: Machine Learning

Price from

155 EUR without VAT

Time Series Analysis cz/sk en

Vendor: EDU Trainings

Area: Machine Learning

Price from

155 EUR without VAT

Machine Learning with R cz/sk

Vendor: EDU Trainings

Area: Machine Learning

Price from

499 EUR without VAT

Data Manipulation and Visualization with R cz/sk

Vendor: EDU Trainings

Area: Machine Learning

Price from

499 EUR without VAT

Data modelling in Power BI cz/sk en

Vendor: EDU Trainings

Area: Machine Learning

Price from

399 EUR without VAT

Interpretable machine learning (R/Python) cz/sk

Vendor: EDU Trainings

Area: Machine Learning

Price from

399 EUR without VAT

ComGate payment gateway MasterCard Logo Visa logo