19
oct
2017

Advanced Machine Learning; Scientific Python and Machine Learning

Organizers

  • Unde: Bucharest, Romania
  • Când: 19 octombrie 2017, ora 09:00
  • Info: 2 day course - October 19-20
Conferinta Agora

Advanced Machine Learning; Scientific Python and Machine Learning- By Dr. Dany Livne

 

Course Overview:

Data scientists use algorithms and frameworks which enables computers to solve problems that are classified on a higher complexity level than traditional algorithms. Probably the most successful frameworks, gaining high acceptance both in academy and by major businesses is the Python open source language. First released in 1989, Python is a fast, object oriented, portable, scientific, enterprise, back-end and front end application development framework. Focusing on readability and fast deployment, it is the ideal tool for the modern data scientist.

In this course we will introduce the main building blocks of the language, relevant for the data scientist; its most important libraries such as NumPy, Pandas and Scikit-learn, as well as its newest additions around data presentation and parallelism.

We will review various use cases and implement mini-labs in Python.

Goal

Understand the different tools available for the data scientist in Python, best practices and design patterns

Prerequisites:

One to two years programming skills in any other languages, and the introduction to machine learning basic course.

Lecturer: Dani Livne

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

Dani holds an MBA and a Mathematics MCs. Degrees from Tel-Aviv university and is still collaborating with various academies in Israel, either teaching or participating in math’s seminars.

Some of Dani’s past roles in various high tech companies include senior development, leading development teams and serving as a software architect. As part of these tasks Dani relocated to

New-York for three years where he gained extensive experience with the American Telco market.

In his recent position Dani served as an architect in a large cyber company and now he is a Data Scientist in a company that does retail marketing personalization.

Course Content:

 

Day 1:

1. Introduction to Python

Development environment

Basic constructs, functions, scopes, classes and objects, main collections

NumPy and Pandas

Developing machine learning algorithms in Python

Validation in Python

Parallel distribution in Python      

2. Scikit-learn library and tools  

Preprocessing

Correlation, feature selection and reduction

Model selection

Linear models                            

 

Day 2:

3. Algorithms

Clustering and classification

Trees and SVM

Validation          

4. Advanced Topics       

Plotting results

NLTK

Deep learning in Python

Parallel distribution using Dask

Lab – recommendation system                

5. Summary   

 

Cost:

 

until September 8th: 3200 RON per participant (VAT included)

from September 9th until October 8th 3600 RON per participant (VAT included)

from October 9th: 4500 RON per participant (VAT included)

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

 

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