Languages: English, Spanish
About the training
#deeplearning #identify challenges #prepare your organization for what the future holds #practical applications for Deep Learning
Top executives of organizations around the world have probably heard a lot about Artificial Intelligence (AI). Within AI, there is Machine Learning, a technology that enables computers to get better at tasks with more practice. Furthermore, within Machine Learning, there is Deep Learning, which involves algorithms by which computers train themselves using multi-layered neural networks (inspired by the human brain) and vast quantities of data. Deep Learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep Learning effective and efficiently discovers intricate structure in large data sets by using algorithms to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the contiguous layer, which have brought about breakthroughs in processing images, video, speech, audio and financial data. For instance, investors in equities are increasingly seeking cheaper trading options such as exchange-traded funds, as research has shown that active stock pickers generally underperform the wider stock market. Consequently, by 2025, financial institutions will reduce their human workforce by 10%, resulting in roughly 230,000 fewer heads. Most other industries will follow these radical trends as well.
DAY 1: HOW DEEP LEARNING HAS EVOLVED
SESSION 1: WHAT'S ALL THE FUSS ABOUT?
CASE STUDY 1: IDENTIFYING TUMORS WITH IBM’S WATSON
SESSION 2: ARTIFICIAL INTELLIGENCE (AI)
CASE STUDY 2: BRINGING NEURAL NETWORKS TO THE REALM OF FINANCE WITH EMMA
SESSION 3: MACHINE LEARNING
DAY 2: HOW DEEP LEARNING WORKS
SESSION 1: UNDERSTANDING NEURAL NETWORKS
CASE STUDY 1: GOOGLE’S ALPHAGO’S UNPRECEDENTED VICTORY OVER GO CHAMPION
SESSION 2: THE IMPORTANCE OF BIG DATA ANALYTICS
CASE STUDY 2: AI FINANCIAL ADVISOR MAKES 80 YEAR PROJECTIONS
SESSION 3: WHAT IS DEEP LEARNING
DAY 3: HOW DEEP LEARNING IS CHANGING THE WORLD
SESSION 1: DEEP LEARNING BUSINESS APPLICATIONS
CASE STUDY 1: CROWDSOURCING NUMERAI, THE ARTIFICIALLY INTELLIGENT HEDGE FUND
SESSION 2: DEVISING AND IMPLEMENTING A SUCCESSFUL DEEP LEARNING STRATEGY
CASE STUDY 2: DEEPFAKES AND THE POTENTIAL FOR EXTREME FINANCIAL AND POLITICAL MANIPULATION