Quantum Physics in Stocks
Applying particle physics to real life
Machine Learning and Artificial Intelligence
Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.
Machine learning is closely related to computational statistics; a discipline that aims at the design of algorithm for implementing statistical methods on computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is unfeasible.
When employed in industrial contexts, machine learning methods may be referred to as predictive analytics or predictive modelling.
Tino-Labs is the space for innovation at its best, Our top scientists have developed smart algorithms which capture’s trading patterns of humans and machines. Our Predictions are growing for our success to greater heights after being tested with real time trade by some of our valuable TINO users. TINO IQ Stock Predictions have been precise and perfect making sure customers feeling safe about their hard earned savings being used for trading stocks. This is just the start of journey, as we understand more patterns every day.
Interestingly #IBM is also starting into quantum computing, TINO IQ has been using quantum computing since 2006