vqLAB
Accelerate systematic alpha generation using Artificial Intelligence
- Machine Learning Algorithms vs. AI vs. Deep LearningAI is the art of making a computer thinkMachine learning is the art of using (networked computers) for analytics.Deep learning is a brute force approach using (GPUs) for more complexity.
Artificial Intelligence, Machine Learning, and Deep Learning are the most common terms you hear when working in quantitative finance in today's age. In the recent year though, there is a new contender to this cutting-edge field, namely reinforcement learning.
Accelerate your Dreaming
Was it Bill Gates who said: "Who would need more than 640K of memory?"With the exponential increase in compute power has caused the number of AI applications to explode.
#vqLAB is infused with cutting-edge Machine Learning, AI & Deep Learning to empower your investing.
With global partners, algorithms and data to discover opportunities, we help you discover uncommon
Supervised
This class of algorithm is either used to predict discrete or continuous outputs based on training data.
Regression (Continuous)
- Linear Regression
- Logistic Regression
- Support Vector Machines
- Gaussian Process Regression
- Ensemble Methods
- Decision Trees
- Neural Networks
Classification (Discrete)- Support Vector Machines
- Discriminant Analysis
- Naive Bayes Classifier
- K-Nearest Neighbor
Unsupervised
This class of algorithm is used to find patterns in your data.
- K-Means
- K-Medoids
- Fuzzy C-Means
- Hierarchical Clustering
- Gaussian Mixture
- Neural Networks
- Hidden Markov Models
Reinforcement Learning
This class of algorithm is based on behavioral science and attempts to learns through failures and reinforcements.
- Markov decision processes
- Q-Learning
- Genetic Algorithm based methods
