
Total Courses 193
What is TensorFlow Lite?
What is OptaPlanner?
What is Artificial Intelligence (AI)?
What is UiPath?
What is Data Science?
What is Digital Marketing?
What is Azure?
What is Data Analysis?
What is Robotics?
What is Authorized Azure?
What is Predictive Analytics?
What is Machine Learning?
What is Deep Learning?
What is Reinforcement Learning?
What is Torch?
What is Data Visualization?
What is Neural Networks?
What is R Language?
What is Automotive?
What is TensorFlow?
What is Pattern Recognition?
What is Image Analysis?
What is Smart Robots?
What is Chainer?
What is Sentiment Analysis?
What is NLTK?
What is Deeplearning4j?
What is Apache Spark MLlib?
What is Python?
What is Robotic Process Automation (RPA)?
What is Computer Vision?
What is Telecom?
What is Keras?
What is OpenCV?
What is Conversational AI?
What is TextBlob?
What is Scilab?
What is Weka?
What is RapidMiner?
What is H2O?
What is DataRobot?
What is PredictionIO?
What is Kubeflow?
What is Mobile Development?
What is Mathematica?
What is Pandas?
What is MLOps?
What is MLflow?
What is ML.NET?
What is Amazon Web Services (AWS)?
What is Quantum Computing?
What is Spark NLP?
What is Insurtech?
What is OpenNN?
What is Facebook NMT?
What is Face Recognition?
What is GPU?
What is CNTK?
What is Apache SystemML?
What is Raspberry Pi?
What is Apache SINGA?
What is Marvin?
What is Speech Recognition?
What is Cognitive Computing?
What is AutoML?
What is Auto-Keras?
What is Auto-sklearn?
What is H2O AutoML?
What is Cirq Framework?
What is Microsoft Bot Framework?
What is Apache MXNet?
What is OpenVINO?
What is Horovod?
What is Random Forest?
What is AdaBoost?
What is AlphaFold?
Total Feedbacks 50
He was very informative and helpful.
Predictive Modelling with R
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.
Artificial Neural Networks, Machine Learning, Deep Thinking
Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.
Introduction to the use of neural networks
The interactive part, tailored to our specific needs.
Introduction to the use of neural networks
I did like the exercises.
Natural Language Processing with Python
I genuinely enjoyed the hands-on approach.
Computer Vision with OpenCV
The trainer was so knowledgeable and included areas I was interested in.
Data Mining & Machine Learning with R
The topic is very interesting.
Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Introduction to Deep Learning
Topic. Very interesting!.
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.
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.
Introduction to Deep Learning
The global overview of deep learning.
Advanced Deep Learning
The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Advanced Deep Learning
Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Advanced Deep Learning
I really appreciated the crystal clear answers of Chris to our questions.
Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple
I generally enjoyed the knowledgeable trainer.
Neural Networks Fundamentals using TensorFlow as Example
I was amazed at the standard of this class - I would say that it was university standard.
Neural Networks Fundamentals using TensorFlow as Example
Very good all round overview. Good background into why Tensorflow operates as it does.
Neural Networks Fundamentals using TensorFlow as Example
I liked the opportunities to ask questions and get more in depth explanations of the theory.
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.
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.
Machine Learning and Deep Learning
I really enjoyed the coverage and depth of topics.
Machine Learning and Deep Learning
I liked the new insights in deep machine learning.
Neural Network in R
We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.
Neural Network in R
I mostly enjoyed the graphs in R :))).
Neural Network in R
The deep knowledge of the trainer about the topic.
Introduction to Deep Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
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.
Neural Networks Fundamentals using TensorFlow as Example
I was benefit from topic selection. Style of training. Practice orientation.
Neural Networks Fundamentals using TensorFlow as Example
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Python for Advanced Machine Learning
This is one of the best hands-on with exercises programming courses I have ever taken.
Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
From Data to Decision with Big Data and Predictive Analytics
The content, as I found it very interesting and think it would help me in my final year at University.
From Data to Decision with Big Data and Predictive Analytics
I genuinely liked excercises
Machine Learning
I liked the lab exercises.
Machine Learning
The Jupyter notebook form, in which the training material is available
Machine Learning
There were many exercises and interesting topics.
Machine Learning
Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
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.
Machine Learning
The easy use of the VideoCapture functionality to acquire video images from laptop camera.
Computer Vision with OpenCV
I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.
Computer Vision with OpenCV
I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.
Computer Vision with OpenCV
It was easy to follow.
Computer Vision with OpenCV
the matter was well presented and in an orderly manner.
Introduction to R with Time Series Analysis
I was benefit from the passion to teach and focusing on making thing sensible.
Advanced Deep Learning
About face area.
Deep Learning for NLP (Natural Language Processing)
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Deep Reinforcement Learning with Python
This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.
Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
It is one on one. I can ask a lot of question and also ask the trainner to repeat when I was not clear about some stuff.
Insurtech: A Practical Introduction for Managers