Machine learning and deep learning conference: learn from data and experience
By Amelia Smith
December 29, 2017
London, UK – Machine Learning 2018 will be holding the 5th World Machine Learning and Deep Learning Congress on August 30-31, 2018 in Dubai, UAE. The conference will gather most innovative minds, practitioners, experts, thinkers, eminent Researchers, Scientists, Professors, Developers, Analysts, and Newbies globally to discuss an approach to Machine Learning & Deep Learning researchers. The conference theme is “Machine Learning: Discovering the New Era of Intelligence”.
Machine Learning Congress has 19 sessions on Machine Learning, Deep Learning, Artificial Intelligence, Artificial Neural Networks (ANN) & Chainer, Deep Learning Frameworks, TensorFlow, The role of AI & Machine Learning in Medical Science, Natural Language Processing (NLP) and Speech Recognition, Computer Vision and Image Processing, Pattern Recognition, Facial Expression and Emotion Detection, Predictive Analytics, Big Data, Data Science and Data Mining, Big Data Analytics, Dimensionality Reduction, Model Selection and Boosting, Object Detection with Digits, Cloud Computing, Robotic Process Automation (RPA).
Artificial Intelligence and Machine Learning is growing exponentially these days. Every organization is adapting it and increasing their productivity. As per market research, companies like Netflix saved $1 billion this year because of its machine learning algorithm. AI software will grow from $1.4 billion in 2016 to $59.8 billion by 2025.
#ML2018_Congress is here to offer a ladder to everyone who has interest in Machine Learning, who has knowledge to share with the attendees, who has eager to learn more & more and become a part of this growing world of technology.
“Attending and presenting at conferences remains as the most favourable model of knowledge dissemination for researchers and practitioners to keep abreast of all advances in their field, presenting state-of-the-art research usually on a variety of subjects”
To learn more about this, please contact
Program Manager (Machine Learning 2018)
Kemp House,152 City Road
London EC1V 2NX, United Kingdom
Tel: +1-702-508-5200 ext. 8033
Email: email@example.com; firstname.lastname@example.org