Thank you for sending your enquiry! One of our team member will contact you shortly.
Thank you for sending your booking! One of our team member will contact you shortly.
Course Outline
Introduction
- Overview of Machine Learning (ML) and Deep Learning (DL) concepts
- Future industry evolutions with ML and DL
Business Strategy with Deep Learning
- Defining business problems
- Data-driven decision making
- Analytical thinking and mindset
- Business strategy modeling
- Case studies and examples
Deep Learning Software and Tools
- Python and Pandas fundamentals
- DL open source tools (TensorFlow, CNTK, Torch, Keras, etc.)
- Use cases and examples
Deep Learning with Neural Networks
- Neural Network Learning (Backpropagation)
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- DL modeling examples
Summary and Next Steps
Requirements
- An understanding of machine learning concepts
- Python programming experience
Audience
- Business analysts
- Data scientists
- Developers
Testimonials
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
The topic is very interesting.
Wojciech Baranowski
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
Topic. Very interesting!.
Piotr
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Dolby Poland Sp. z o.o.
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
The global overview of deep learning.
Bruno Charbonnier
The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Alexandre GIRARD
Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Paul Kassis
We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.
Sebastiaan Holman
The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.
Jean-Paul van Tillo
I really enjoyed the coverage and depth of topics.
Anirban Basu
The deep knowledge of the trainer about the topic.
Sebastian Görg
way of conducting and example given by the trainer
ORANGE POLSKA S.A.
Possibility to discuss the proposed issues yourself
ORANGE POLSKA S.A.
Communication with lecturers
文欣 张
like it all
lisa xie
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Big and up-to-date knowledge of leading and practical application examples.
- ING Bank Śląski S.A.
A lot of exercises, very good cooperation with the group.
Janusz Chrobot - ING Bank Śląski S.A.
work on colaborators,
- ING Bank Śląski S.A.
It was obvious that the enthusiasts of the presented topics were leading. Used interesting examples during exercise.
- ING Bank Śląski S.A.
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
- Explore
lots of information, all questions ansered, interesting examples
A1 Telekom Austria AG
having access to the notebooks to work through
Premier Partnership
The trainers knowledge of the topics he was teaching.
Premier Partnership
Related Courses
AlphaFold
7 hours
Deep Learning for Vision with Caffe
21 hours
Deep Learning with Keras
21 hours
Deep Learning for Self Driving Cars
21 hours
TensorFlow Lite for Embedded Linux
21 hours
TensorFlow Lite for Android
21 hours
TensorFlow Lite for iOS
21 hours
Tensorflow Lite for Microcontrollers
21 hours