Articles
Deep Learning
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. (“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” ―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX).
The role of artificial intelligence in achieving the Sustainable Development Goals: an excellent work presented to the members of the European Alliance for AI
Our director (as a member of The European AI Alliance) uploaded this work and contributed to the documentation that the members of the European Alliance for AI and the high-level AI group are handling. He consider these points of view is important in terms of sustainable development. Link to the post at european AI alliance …
Machine Learning with dabl ( 0.1.8)
«dabl tries to reduce the turnaround time required for a quick baseline estimate of a supervised learning problem. It does so by automating the task of iterating through different techniques of data preprocessing, feature engineering, parameter tuning and model building to generate efficacious baseline models».
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
The combined impact of new computing resources and techniques with an increasing avalanche of large datasets, is transforming many research areas and may lead to technological breakthroughs that can be used by billions of people. In the recent years, Machine Learning and especially its subfield Deep Learning have seen impressive advances. Techniques developed within these two fields are now able to analyze and learn from huge amounts of real world examples in a disparate formats. While the number of Machine Learning algorithms is extensive and growing, their implementations through frameworks and libraries is also extensive and growing too.
Free and Open Machine Learning Documentation Release 1.0.1
This book is all about applying machine learning solutions for real practical use cases. This means the core focus is on outlining how to use machine learning in a simple way so you can benefit of this powerful technology.
Machine learning is an exciting and powerful technology. The continuous use and growth of machine learning technology opens new opportunities. This great technology should available to use for everyone. This means that everyone should be able to learn, play and create great applications using machine learning technology.
Manifiesto de IBM con motivo del 50 encuentro en el foro de Davos. ‘Regulación de precisión para la inteligencia artificial’
El panel de Davos, organizado por el CEO de IBM, Ginni Rometty, explora la regulación de precisión de la inteligencia artificial y la tecnología emergente. El evento lanza formalmente IBM Policy Lab, un nuevo foro para promover recomendaciones de políticas audaces y viables para una sociedad digital y fomentar la confianza en la innovación.
Estudio prospectivo de políticas sobre inteligencia artificial y política comercial de la UE
El Ministerio holandés de Asuntos Exteriores ha encargado este estudio para generar conocimiento sobre la interfaz entre el derecho comercial internacional y las normas europeas y valores en el uso de la inteligencia artificial. El estudio hace una serie de hallazgos significativos.
People + AI Guidebook by Google
Escrita para profesionales de experiencia de usuario (UX) y gerentes de producto como una forma de ayudar a crear un enfoque centrado en el ser humano para la IA en sus equipos de producto.