Genetic Algorithms
Intelligent Testing
ChatGPT for Developers
TensorFlow Lite for Android
TensorFlow Lite for iOS
TensorFlow Lite for Embedded Linux
Tensorflow Lite for Microcontrollers
OptaPlanner in Practice
AI in Digital Marketing
IBM Cloud Pak for Data
AI and Robotics for Nuclear
AI and Robotics for Nuclear - Extended
Machine Learning for Robotics
Matlab for Predictive Analytics
Predictive Modelling with R
Visual Analytics – Data science
Machine Learning and Big Data
From Zero to AI
Machine Learning on iOS
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
LightGBM for Machine Learning
Deep Learning for Finance (with R)
Deep Learning for Banking (with R)
Matlab for Deep Learning
Microsoft Cognitive Toolkit 2.x
Neural computing – Data science
Advanced Machine Learning with R
Introduction to Deep Learning
Advanced Deep Learning
Machine Learning and Deep Learning
Deep Learning for Medicine
Deep Learning for Healthcare
Deep Learning for Business
DeepSpeed for Deep Learning
Reinforcement Learning with Java
Torch for Machine and Deep Learning
Octave not only for programmers
Neural Network in R
Understanding Deep Neural Networks
Applied AI from Scratch
Deep Learning for Vision
Deep Learning with TensorFlow
TensorFlow for Image Recognition
TensorFlow Serving
Deep Learning with TensorFlow 2
Machine Learning with TensorFlow.js
TensorFlow Extended (TFX)
Pattern Recognition
PaddlePaddle
Pattern Matching
NLP with Deeplearning4j
Mastering Deeplearning4j
DeepLearning4J for Image Recognition
Building Chatbots in Python
OpenAI API
OpenAI Gym
Computer Vision with Python
Deep Learning for Vision with Caffe
Computer Vision with SimpleCV
AI Awareness for Telecom
Deep Learning for Self Driving Cars
Deep Learning with Keras
Computer Vision with OpenCV
ParlAI for Conversational AI
Chatbots for Developers
NLP with Python and TextBlob
Scilab
Data Mining with Weka
DataRobot
Kubeflow
Kubeflow Fundamentals
Kubeflow on OpenShift
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
ProjectQ
Machine Learning Algorithms in Julia
OpenNN: Implementing Neural Networks
Hardware-Accelerated Video Analytics
Machine Learning with PredictionIO
Apache SystemML for Machine Learning
Mastering Apache SINGA
Natural Language Processing (NLP)
AutoML
Google Cloud AutoML
AutoML with Auto-Keras
AutoML with Auto-sklearn
H2O AutoML
Microsoft Bot Framework Fundamentals
Microsoft Bot Framework Composer
Machine Learning with Random Forest
AdaBoost Python for Machine Learning
AlphaFold
ChatGPT
ChatGPT for Marketing
ChatGPT for SEO
ChatGPT for Executives
ChatGPT for Finance
ChatGPT for Customer Service
ChatGPT for Content Creation
ChatGPT for E-commerce
ChatGPT for Social Media Management
ChatGPT for Healthcare
ChatGPT for Legal Services
ChatGPT (GPT-4) for Developers
ChatGPT for Banking
ChatGPT for Accounting
ChatGPT for Human Resources
ChatGPT for Education and Training
ChatGPT for Sales Enablement
ChatGPT for Virtual Assistants
ChatGPT for Market Research
ChatGPT for Product Development
ChatGPT for Automation
ChatGPT Plugins
Midjourney for Image Generation
He was very informative and helpful.
Pratheep Ravy [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.
Jonathan Blease [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.
Gudrun Bickelq [Introduction to the use of neural networks]The interactive part, tailored to our specific needs.
Thomas Stocker [Introduction to the use of neural networks]I did like the exercises.
Office for National Statistics [Natural Language Processing with Python]I genuinely enjoyed the hands-on approach.
Kevin De Cuyper [Computer Vision with OpenCV]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]I liked the new insights in deep machine learning.
Josip Arneric [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.
Tea Poklepovic [Neural Network in R]I mostly enjoyed the graphs in R :))).
Faculty of Economics and Business Zagreb [Neural Network in R]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]Very flexible.
Frank Ueltzhöffer [Artificial Neural Networks, Machine Learning and Deep Thinking]I generally enjoyed the flexibility.
Werner Philipp [Artificial Neural Networks, Machine Learning and Deep Thinking]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]This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn [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.
Jamie Martin-Royle - NBrown Group [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.
Krishan Mistry - NBrown Group [From Data to Decision with Big Data and Predictive Analytics]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]The easy use of the VideoCapture functionality to acquire video images from laptop camera.
- HP Printing and Computing Solutions, Sociedad Limitada Unipe [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.
- HP Printing and Computing Solutions, Sociedad Limitada Unipe [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.
- HP Printing and Computing Solutions, Sociedad Limitada Unipe [Computer Vision with OpenCV]It was easy to follow.
- HP Printing and Computing Solutions, Sociedad Limitada Unipe [Computer Vision with OpenCV]the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge [Introduction to R with Time Series Analysis]I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI [Advanced Deep Learning]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]