RapidMiner Training in Moldova

The details and the presentation style.

Cristian Mititean - Accenture Industrial SS

Curs - Azure Machine Learning (AML)

The Exercises

Khaled Altawallbeh - Accenture Industrial SS

Curs - Azure Machine Learning (AML)

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts

Curs - Artificial Neural Networks, Machine Learning, Deep Thinking

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease

Curs - Artificial Neural Networks, Machine Learning, Deep Thinking

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski

Curs - Applied AI from Scratch in Python

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Curs - Applied AI from Scratch in Python

Să fie scurt și simplu. Crearea intuiției și a modelelor vizuale în jurul conceptelor (graficul arborelui de decizie, ecuații liniare, calcularea manuală a lui y_pred pentru a dovedi modul în care funcționează modelul).

Nicolae - DB Global Technology

Curs - Machine Learning

Tradus de catre o masina

M-a ajutat să îmi ating obiectivul de a înțelege ML. Mult respect pentru Pablo pentru că a făcut o introducere corectă în acest subiect, deoarece devine evident după 3 zile de training cât de vast este acest subiect. De asemenea, mi-a plăcut MULT ideea de mașini virtuale pe care ați oferit-o, care au avut o latență foarte bună! A permis fiecărui cursant să facă experimente în ritmul propriu.

Silviu - DB Global Technology

Curs - Machine Learning

Tradus de catre o masina

The way practical part, seeing the theory materializing into something practical is great.

Lisa Fekade - Vodacom

Curs - Machine Learning

It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.

Attila Nagy - L M ERICSSON LIMITED

Curs - Machine Learning

I liked the lab exercises.

Marcell Lorant - L M ERICSSON LIMITED

Curs - Machine Learning

The trainer was so knowledgeable and included areas I was interested in

Mohamed Salama

Curs - Data Mining & Machine Learning with R

Szkolenie rewelacyjne, jedno z najlepszych, na jakich bylem! Prowadzacy Rafal doskonale odpowiadal w zakresie poruuszanych zagadnien, bardzo dokladnie tlumaczyl wszystkie metody. Jestem bardzo zadowolony i chetnie ponownie skorzystam ze szkolenia prowadzonego przez tego szkoleniowca.

Darek Paszkowski - Orange Szkolenia Sp. z o.o.

Curs - Feature Engineering for Machine Learning

Rysunki na flipcharcie, całe szkolenie.

Kasia Nawrot - Orange Szkolenia Sp. z o.o.

Curs - Feature Engineering for Machine Learning

I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life™

Curs - Kubeflow

The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers, it could be more abstract in fewer days. But it was designed to fit and we had a good alignment in advance.

Benedikt Chiandetti - HDI Deutschland Bancassurance Kundenservice GmbH

Curs - Machine Learning Concepts for Entrepreneurs and Managers

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Curs - MLflow

Trainerul a arătat că are o bună înțelegere a subiectului.

Marino - EQUS - The University of Queensland

Curs - Machine Learning with Python – 2 Days

Tradus de catre o masina

A fost o introducere grozavă în ML!! Mi-a plăcut toată treaba, chiar. Organizarea a fost perfectă. Timpul potrivit pentru prelegeri/demo-uri și doar pentru a ne juca. Au fost atinse o mulțime de subiecte, doar la nivelul potrivit. De asemenea, a fost foarte bun în a ne menține super angajați, chiar și fără ca vreo cameră să fie pornită.

Zsolt - EQUS - The University of Queensland

Curs - Machine Learning with Python – 2 Days

Tradus de catre o masina

Claritatea explicațiilor și răspunsul cu cunoștințe la întrebări.

Harish - EQUS - The University of Queensland

Curs - Machine Learning with Python – 2 Days

Tradus de catre o masina

The knowledge of the trainer was very high and the material was well prepared and organised.

Otilia - TCMT

Curs - Machine Learning with Python – 2 Days

I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.

Jenna - TCMT

Curs - Machine Learning with Python – 2 Days

Convolution filter

Francesco Ferrara

Curs - Introduction to Machine Learning

The way of transferring knowledge and the knowledge of the trainer.

Jakub Rękas - Bitcomp Sp. z o.o.

Curs - Machine Learning on iOS

Cunoștințe interesante

Gabriel - MINDEF

Curs - Machine Learning with Python – 4 Days

Tradus de catre o masina

The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.

Witold Iwaniec - City of Calgary

Curs - Machine Learning with Python – 4 Days

Antrenorul pentru că se putea descurca cu aproape orice subiect și situație.

Florin Babes - eMAG IT RESEARCH SRL

Curs - Machine Learning with Python – 4 Days

Tradus de catre o masina

Modul în care formatorul a explicat conceptele, atitudinea sa pozitivă și primitoare și exemplele din lumea reală oferite pentru fiecare exercițiu.

Ovidiu Calita - eMAG IT RESEARCH SRL

Curs - Machine Learning with Python – 4 Days

Tradus de catre o masina

Sesiune de training foarte bună, cu o documentație și exerciții frumoase, iar Kristian a făcut-o ca un profesionist ce este.

Adrian Boulescu - eMAG IT RESEARCH SRL

Curs - Machine Learning with Python – 4 Days

Tradus de catre o masina

Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain

Richard Blewett - Rock Solid Knowledge Ltd

Curs - Machine Learning – Data science

I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).

Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo

Curs - Machine Learning – Data science

It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback

Kamila Begej - GE Medical Systems Polska Sp. Zoo

Curs - Machine Learning – Data science

The theoretical explanations

Molatelo Tloubatla - University Of South Africa

Curs - Data Science: Analysis and Presentation

Machine learning, python, data manipulation

Siphelo Mapolisa - University Of South Africa

Curs - Data Science: Analysis and Presentation