Künstliche Intelligenz: Definition und Abgrenzung
What is Transfer Learning Transfer learning or inductive transfer is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while… Weiterlesen »Transfer Learning – Some available Pre-trained models for TensorFlow, PyTorch, Keras and CNTK
AI implementations will still not be the norm Only one in 20 companies has comprehensively integrated KI into its offerings or processes. Less than 39% of all companies have an AI strategy. According to the MIT Sloan Management Review, the… Weiterlesen »What to expect from Artificial Intelligence in 2018 (business perspective)
These public data sources can be used for machine learning and deep learning research. Datasets are an integral part of the field of machine learning. Finding a good machine learning dataset is often the biggest hurdle a developer has to… Weiterlesen »Amazing free Machine Learning and Deep Learning public data sources for 2018
A chatbot is a program that can conduct a conversation with a person using rules and AI to simulate a human-like interaction with users. Chatbots have become increasingly popular in recent years, already changing the way brands interact with their… Weiterlesen »How businesses can benefit from chatbots
This term encompasses all types of machine learning in which the result is unknown, and there is no teacher to train the algorithm. In the case of unsupervised learning, the learning algorithm receives only the input data and is instructed… Weiterlesen »Importance of Unsupervised Learning in data preprocessing