Machine Learning + Spark hands on

October 24, 2015 @ techhub_3d_logo_png, FROM 9 TO 13:30
Machine Learning + Spark hands on  – in the limit of 15 seats – No more seats left (if you apply we will keep you in waiting mode for next sessions or in case a new place becomes available for this session)
  • Description: Theoretical understanding of various ML algorithms+ Practical approach
  • What you will learn: How to solve ML problems using python+ sklearn (ml library) or  Java|Scala+Spark+MLLib (ml library on top of spark).
Trainer: Alex Sisu

Big data engineer working at
Interested in machine learning, neural networks and scalability problems.

1. Clustering algorithms
  – k means clustering
  – k nearest neighbor
2. Classification algorithms
– decision tree
– random forest
– bagging
3. Regression Algorithms
– linear regression
4. Neural networks
– classification problems using NN
5. Evaluating the results of a ML model
– different metrics
6. Data pre-processing


document classification, user preferences on shopping items, price forecasting, image recognition
Will be provided during the class: VirtualBox/ Docker
– each user should have a laptop
– Windows|Linux|Mac+Python+SKlearn should be installed, but if not possible the provided virtualbox image can be used.

There are no more seats available, but you can sign up for the next training here:

Register for the next session: