Data Science Training Specials

Data Science Training Specials – Dutch Data Science Week

 

During Dutch Data Science Week, several data science training sessions take place where data scientists can learn about topics like Deep Learning and Analytics Translating.

 

Deep Learning – Monday, June 3

 

Analytics Translating – Tuesday, June 4

 

TBA with Turing Students, Rotterdam – Wednesday, June 5

 

Deep Learning – Monday, June 3

Description

Deep learning introduction with Python, Tensorflow and Keras with a focus on Recurrent Neural Networks and LSTMs.
Every theory part is complemented by a hands-on session, the goal is that you become familiar with the theory but also learn the how to apply the theory in practice with several exercises.

Curriculum

– Deep Learning basics (Theory)
– Keras API with image classification (Hands-on)
– Neural networks in practice (Theory)
– Predicting bank term deposits (Hands-on)
– Recurrent Neural Networks (Theory)
– Forecasting airline passengers with RNNs (Hands-on)
– Long short-term memory (Theory)
– Human activity recognition with LSTMs (Hands-on)
– NLP sentiment classification with LSTMs (Hands-on)
– Introduction to Gated recurrent units (Theory)
– Q&A

Some of the things you will learn are:

– The Keras API
– Pragmatic best practices when using Deep Learning models.
– Recognize cases when Recurrent Neural Networks are useful.
– Pre-process time-series data for an RNN or LSTM.
– Combine several time-series for a single RNN or LSTM model.
– Use many-to-one RNN and LSTM models.

Prerequisites

– Experience in Python is advised for the hands-on sessions.
– Experience with Machine Learning concepts (e.g. regularization, overfitting, feature scaling, hyperparameter optimization)
– Basic familiarity with Deep Learning

Activities

The course is dynamic with ideas exchanging and open communication. There are also some fun activities based on the course content.

Instructor

The workshop will be given by Rodrigo Agundez. Data Maverick at GoDataDriven. Rodrigo has been giving training sessions and workshops for several years now, he gave a Deep Learning Tensorflow workshop during the Data Science Summit Europe 2016 in Israel, is one of the current trainers for the Data Science with Python, the time-series lecture and Deep Learning training (GoDataDriven).

In addition, as a consultant, he has seen many use cases and can help you with specific questions that relate to using Data Science in practice, productizing models, etc.

Analytics Translating – Tuesday, June 4

 

Description

The translator drives the development of successful AI solutions by bridging the gap between the technical expertise of data scientist and the operational expertise of the business. Our Analytics Translator training enables you to become a frontrunner in helping your organization become AI-driven.

Curriculum

– Introduction to Advanced Analytics and AI
– Hands-on simulation of a use case
– The AI solution framework
– Which roles and skills to add to your team
– Taking a use case driven approach

Some of the things you will learn are:

– What is advanced analytics, data science and AI
– A high level frame work for building valuable AI solutions
– The roles and skills that are crucial during development
– Steps to implementing an use case driven approach:
          – collecting and prioritising ideas
          – ideation and setting up the use case
          – experimentation, building an MVP and proving value
          – scaling-up and productionization of the solution

Prerequisites

An interest in all things data and AI
Basic analytical skills and knowledge
– Project management experience

Activities

The course contains several hands-on activities. One of the activities is a game that simulates the process of developing an AI solution with an Agile team.

Instructor

The workshop will be given by Stijn Tonk, Chief Strategy and Innovation Officer at GoDataDriven.

After graduating Cum Laude in Natural Science, Stijn decided to apply his scientific skills to work in a business environment. Before joining GoDataDriven, Stijn worked on data solutions in the mobile app market and secure transaction industry.