Machine Learning for Development Leaders

Participa la curs
2800 Lei early buyer


  • Unde: Bucharest, Romania
  • Când: în curând
  • Info: 1 day course
Cursul Agora

Duration: 1 day

Course Overview:

Integrating machine learning is paramount in organizations nowadays. machine learning engineers and data scientists are now an integral part of the development teams.
Machine Learning projects has some similarities to a standard software development project, so they may seem easy to work through at first. However, the data dependency, the research oriented work and the unknown nature of results imply different work strategies and project design.

This may lead to an expertise deficit which is not always easy to bridge.
Development leader from any level sometimes lack the knowledge about machine learning, and specifically about working through its related projects.
In this intense workshop, we will go through an intro to machine learning, the work of a data scientist, and the inside and outside of a machine learning project which will give the development manager a better understand of this field.

The seminar

In this seminar, we will go through a crash course in machine learning: we will first see an overview of today's advances in machine learning.
Then, we will go through some of the basic of machine learning and data science work, and finally we will do some case studies and try to understand keys and failure points of data projects.

The Goal

This intense workshop is intended for development leaders, who want to know better how to work on a data project.
The workshop participants will gain knowledge on the right way to design, work through and deploy a machine learning project in their organization.

Lecturer: Gidi Shperber

Gidi Shperber is a the founder and CEO in Shibumi.AI, a Machine Learning consulting firm. He practices in helping startups to plan, design and implement machine learning projects. He is also the CEO of greenScreen.AI, a deep learning based image processing company. Gidi led the data science and analytics team in 888 holdings,.

He holds a Mathematics Bsc and Psycholgy BA from Tel Aviv University

Course Content:

1. High level intro to machine learning

Current achievements of Machine learning - Image applications
- Text applications
- Voice application

- Genereative application - Personalization
- Failure detection

2. Specific intro to machine learning

Types of learning: supervised and unsupervised Algorithm overview and model selection
Data management

3. Data project: how to plan, address and asses?

Converting business problems to ML language Methodology
Key points
Common failures

4. Machine learning projects: case studies

Classification tasks
Regression tasks
Personlaization tasks
Text tasks
Using ML to improve customer experience

5. Practical workshop

Working out a real world problem throughout developments steps, from design, collecting data, early versions, production, and optimizations

Deploying ML to production




Very early bird until July 5th: 2800 RON per participant (VAT included)

Early bird from July 6th to July 15th: 3400 RON per participant (VAT included)

Full price from July 16th: 4000 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