Intro to Machine Learning


  • Unde: Bucharest, Romania
  • Când: 14 iunie 2018, ora 09:00
  • Info: 2 day course - June 14-15
Cursul Agora

Intro to Machine Learning – By Mr. Dani Livne


Course Overview:

Machine Learning use a set of algorithms which enables computers to solve problems that are classified on a higher complexity level than traditional algorithms. Examples of such cases are: to predict a consumer behavior by its past choices, recognize a person within an image, “understand” written text, to predict   a system failure or a cyber-attack.

Machine learning algorithms allow the computer to train and learn from its own mistakes and thus perfect its performance on new data.

This course gives the basis of understanding the data scientist environment, focusing mainly on common frameworks in order to enable selecting the appropriate approach to the problems at hands.

We will review various use cases and implement appropriate models and tools.

Who should attend?

Managers and architects who like to understand the different problems that are suitable for machine learning and exercise different frameworks.


Basic programming skills in C, Java or any other language. Basic knowledge in probability and statistics.

Lecturer: Dani Livne

Mr. Dani Livne is a lecturer on topics of algorithms and data science at Logtel.

Dani holds an MBA and Mathematics MCs. degrees from Tel-Aviv university and has over 20 years of research and development in various high tech companies.

Course Content:

Day 1:

1. Introduction to Machine Learning

  • Examples and use cases
  • Statistics 101
  • Machine learning workflow

2. Data preparation using various tools

  • Exploratory data analysis
  • Cleaning the data
  • Filtering and scaling
  • Outliers and null values


3. Selecting machine learning algorithms

  • Regression and decision trees
  • Statistical reasoning


4. Weka Introduction

  • Using the Explorer

Different use cases


Day 2:

5. Machine learning in the cloud, Big Data

  • Classification
  • Association Rules
  • Decision Trees

6. Validation of Results

  • Standard metrics
  • Precision and Recall
  • ROC curve analysis

7. Weka for Developers

  • Using the Experimenter
  • Running different models
  • Adding new algorithms

8. Summary




Very early bird until June 1st: 3400 RON per participant (VAT included)

Early bird from June 2nd to June 10th: 4000 RON per participant (VAT included)

Full price from June 11th: 4800 RON per participant (VAT included)

For groups larger than 10 participants we offer a 10% discount.


For course scheduling, invoicing and other information please contact us at conferinte@agora.ro