Machine Learning and Big Data
From Zero to AI
Machine Learning on iOS
Artificial Intelligence Overview
Applied Machine Learning
Encog: Advanced Machine Learning
Applied AI from Scratch in Python
Recommender Systems with Python
Python: Machine Learning with Text
Text Summarization with Python
Machine Learning Fundamentals with R
Introduction to Machine Learning
Machine Learning
Machine Learning – Data science
Algebra for Machine Learning
XGBoost for Gradient Boosting
DeepMind Lab
Vertex AI
TensorFlow Lite for Android
TensorFlow Lite for iOS
TensorFlow Lite for Embedded Linux
Tensorflow Lite for Microcontrollers
Deep Learning for Finance (with R)
Deep Learning for Banking (with R)
Matlab for Deep Learning
Microsoft Cognitive Toolkit 2.x
Torch for Machine and Deep Learning
Octave not only for programmers
Understanding Deep Neural Networks
Applied AI from Scratch
Deep Learning for Vision
Deep Learning with TensorFlow
Pattern Recognition
PaddlePaddle
Pattern Matching
NLP with Deeplearning4j
Mastering Deeplearning4j
DeepLearning4J for Image Recognition
AI Awareness for Telecom
Deep Learning for Self Driving Cars
Deep Learning with Keras
Data Mining with Weka
DataRobot
Machine Learning for Robotics
Machine Learning with PredictionIO
Core ML for iOS App Development
Mathematica for Machine Learning
Azure Machine Learning
MLOps for Azure Machine Learning
Azure Machine Learning (AML)
MLOps: CI/CD for Machine Learning
MLflow
Machine Learning and AI with ML.NET
Amazon Web Services (AWS) SageMaker
Practical Quantum Computing
Machine Learning Algorithms in Julia
Deep Learning for Vision with Caffe
OpenNN: Implementing Neural Networks
Hardware-Accelerated Video Analytics
Apache SystemML for Machine Learning
Mastering Apache SINGA
AutoML
Google Cloud AutoML
AutoML with Auto-Keras
AutoML with Auto-sklearn
H2O AutoML
Machine Learning with Random Forest
AdaBoost Python for Machine Learning
AlphaFold
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 [Artificial Neural Networks, Machine Learning, Deep Thinking]The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama [Data Mining & Machine Learning with R]The topic is very interesting.
Wojciech Baranowski [Introduction to Deep Learning]Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski [Introduction to Deep Learning]Topic. Very interesting!.
Piotr [Introduction to Deep Learning]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. [Introduction to Deep Learning]I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek [Introduction to Deep Learning]The global overview of deep learning.
Bruno Charbonnier [Advanced Deep Learning]The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Alexandre GIRARD [Advanced Deep Learning]Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Paul Kassis [Advanced Deep Learning]I really appreciated the crystal clear answers of Chris to our questions.
Léo Dubus [Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple]I generally enjoyed the knowledgeable trainer.
Sridhar Voorakkara [Neural Networks Fundamentals using TensorFlow as Example]I was amazed at the standard of this class - I would say that it was university standard.
David Relihan [Neural Networks Fundamentals using TensorFlow as Example]Very good all round overview. Good background into why Tensorflow operates as it does.
Kieran Conboy [Neural Networks Fundamentals using TensorFlow as Example]I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane [Neural Networks Fundamentals using TensorFlow as Example]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 [Machine Learning and Deep Learning]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 [Machine Learning and Deep Learning]I really enjoyed the coverage and depth of topics.
Anirban Basu [Machine Learning and Deep Learning]The deep knowledge of the trainer about the topic.
Sebastian Görg [Introduction to Deep Learning]Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee [TensorFlow for Image Recognition]Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.
Commerzbank AG [Neural Networks Fundamentals using TensorFlow as Example]I was benefit from topic selection. Style of training. Practice orientation.
Commerzbank AG [Neural Networks Fundamentals using TensorFlow as Example]In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall [Python for Advanced Machine Learning]I genuinely liked excercises
- L M ERICSSON LIMITED [Machine Learning]I liked the lab exercises.
Marcell Lorant - L M ERICSSON LIMITED [Machine Learning]The Jupyter notebook form, in which the training material is available
- L M ERICSSON LIMITED [Machine Learning]There were many exercises and interesting topics.
- L M ERICSSON LIMITED [Machine Learning]Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
- L M ERICSSON LIMITED [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 [Machine Learning]I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI [Advanced Deep Learning]About face area.
- 中移物联网 [Deep Learning for NLP (Natural Language Processing)]The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
- Explore [Deep Reinforcement Learning with Python]It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Kamila Begej - GE Medical Systems Polska Sp. Zoo [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 [Machine Learning – Data science]lots of information, all questions ansered, interesting examples
A1 Telekom Austria AG [Deep Learning for Telecom (with Python)]The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum [Applied AI from Scratch in Python]I started with close to zero knowledge, and by the end I was able to build and train my own networks.
Huawei Technologies Duesseldorf GmbH [TensorFlow for Image Recognition]Ewa has a passion for the subject and a huge wealth of knowledge. She impressed all of us with her knowledge and kept us all focused through the day.
Rock Solid Knowledge Ltd [Machine Learning – Data science]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 [Machine Learning – Data science]So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!
Rock Solid Knowledge Ltd [Machine Learning – Data science]Adjusting to our needs
Sumitomo Mitsui Finance and Leasing Company, Limited [Kubeflow]Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI [Natural Language Processing with TensorFlow]the way he present everything with examples and training was so useful
Ibrahim Mohammedameen - TWPI [Natural Language Processing with TensorFlow]Very knowledgeable
Usama Adam - TWPI [Natural Language Processing with TensorFlow]The excersise where we should train a network to approximate a function
Nercia Utbildning AB [Deep Learning with TensorFlow 2.0]Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google [TensorFlow Extended (TFX)]having access to the notebooks to work through
Premier Partnership [Python for Advanced Machine Learning]The trainers knowledge of the topics he was teaching.
Premier Partnership [Python for Advanced Machine Learning]convolution filter
Francesco Ferrara - Inpeco SpA [Introduction to Machine Learning]I like that it focuses more on the how-to of the different text summarization methods
[Text Summarization with Python]