No-Code Machine Learning: No-code ML is a way of programming ML applications without having to go through the long and tedious procedures of processing, modeling, designing algorithms, deployment, retraining, and more. It is much quicker and simpler to implement and is also cost-effective. Tiny ML: Microcontrollers are the keywords when it comes to Tiny ML. They can shrink deep learning networks to fit into any small hardware system. It is very useful when it comes to cars, refrigerators, and other utility meters. These newly embedded machine frameworks are also enabling high-powered AI-IoT devices to perform efficiently.

Making sense of your data is becoming key for every modern predictive business. At ML Conference you will develop a deep understanding of your data, as well as of the latest tools and technologies. Learn from seasoned experts which methods, libraries, services, models and algorithms to use and, crucially, hear their war stories of training cutting edge machine learning algorithms. Make machine learning central to your business model: join ML Conference to gain key knowledge and skills for this new era of data driven business.

Have you ever visited a favorite e-commerce website, and noticed the website was recommending some products you had looked at before? Have you taken a picture of your friend with your smartphone, and the phone asked you to confirm whether or not it was, in fact that friend by name, based on pictures you had tagged before? Have you heard about Google's self-driving car, Skype's emerging translation capabilities or IBM Watson, which is helping doctors to diagnose and treat patients more effectively? There are many names for the magic behind this wizardry, including artificial intelligence, machine learning or cognitive technology. Regardless of what you call it, robots, software and computing devices are evolving to become more autonomous than ever before.