Intro to Machine Learning

Buna ziua,
În perioada următoare vom organiza următoarele cursuri:

Introduction to Machine Learning, București 14-15 iunie 2018;
Advanced Machine Learning: Scientific Python and Machine Learning, București 12-13 iulie 2018;
Machine Learning for Development Leaders, București, 19 iulie 2018;


Până la data de 10 iunie 2018, la cursul „Introduction to Machine Learning„, este valabil tariful Early Birdde 4.000 lei (TVA inclus).

Descrierea oficiala a cursului si agenda o gasiti mai jos:

Introduction 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
from June 2nd until June 10th: 4.000 RON per participant (VAT included)
from June 11th: 4.800 RON per participant (VAT included)
Location: Double Tree by Hilton
For groups larger than 10 participants we offer a 10% discount.
More info here:

Numărul de locuri este limitat.

Pentru a vă înscrie la oricare dintre cursuri, sau pentru a solicita informații suplimentare, trimiteți un e-mail cu datele Dvs. de contact și cu datele companiei la adresa