The Value of Machine Learning
•
0 likes•106 views
What does Lucena have to say about the value of #MachineLearning? Read all about it in this week's infographic: http://lucenaresearch.com/utilizing-cointegration-for-frx/
Recommended
Recommended
More Related Content
What's hot
What's hot (15)
Similar to The Value of Machine Learning
Similar to The Value of Machine Learning (20)
Recently uploaded
Recently uploaded (20)
The Value of Machine Learning
- 1. Automation allows for more innovation of skilled tasks which increases job opportunities. All the data in the world means nothing if you can’t find a way to leverage it. Service Delivery Service Assurance IT Infrastructure support Customer Care Finance Machine Learning (ML) is a type of artificial intelligence (AI) that enables computers to learn without being explicitly programmed. Applications of ML range from face recognition and language translation, to stock price prediction. ML programs are able to perform better over time as they gain experience from interaction with the world. Lucena’s Machine Learning Applications Worried about robots stealing our jobs? Our Signals’ Success Rates (120 Days) SUCCESS RATE AVG MONTHLY RETURN For more information, contact us at info@lucenaresearch.com or visit our website: www.lucenaresearch.com Lucena Research Predictive Analytics THE VALUE OF MACHINE LEARNING EVERY COMPANY CAN NOW BE A DATA COMPANY. FIND OUT HOW LUCENA CAN DRIVE YOUR SUCCESS. Reduced Manual Hours Improved Operational Efficiency Improved Employee Morale Improved Customer Satisfaction Customers are served more promptly and accurately, freeing up employees to focus on customer needs. Robots can remove mundane and repetitive tasks freeing up employees to contribute in more innovative ways. The automation of manual activities can reduce labor costs and create opportunities to repurpose labor for other gains. Robots can run 24/7/365, are scalable, auditable, and managed by IT. What is Machine Learning? Benefits of Machine Learning MOMENTUM FOLLOWING 67.95% 2.08% 3.30% 2.45% 1.35% 1.39% MEAN REVERSAL 81.29% SECTOR SPECIFIC 71.67% MARKET TIMING 58.45% INDEX TIMING 75.94% MACHINE LEARNING PORTFOLIO CONSTRUCTION EXECUTION GUIDELINES CROSS VALIDATION ROBUSTNESS TESTING BACKTEST SIMULATION RISK MITIGATION PORTFOLIO REPLICATION EQUITY-BASED FRX BASED EVENT BASED FIXED INCOME STRATEGY CREATION IDEA GENERATION CLASSIFICATION FORECASTING HEDGING DIVERSIFICATION DERIVATIVES