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• Dr. Ernest P. Chan – Neural Networks in TradingRecommended for programmers and quants to implement neural network and deep learning in financial markets.
• Offered by Dr. Ernest Chan, learn to use advanced techniques such as LSTM, RNN in live trading.Explain what a neural network is and how it worksCode a neural network model using SklearnDescribe a Deep Neural NetworkList the various activation functions usedCode a market trend predicting strategyDescribe a Recurrent Neural NetworkAnalyze an LSTM cell and its workingCode a market close-price predicting strategyPerform a cross-validation to tune the hyper-parameters of a deep learning modelPaper trade and live trade your strategies without any installations or downloadsSKILLS COVEREDMath ConceptsMean Squared ErrorLoss FunctionSigmoid FunctionCross EntropyMachine LearningCross ValidationHyper-parametersRecurrent Neural NetworksLong Short Term MemoryPythonNeural_networkR2scorerAccuracy_scoreKerasPicklePREREQUISITES You should have a basic knowledge of machine learning algorithms and training and testing datasets.
• These concepts are covered in our free course ‘Introduction to Machine Learning’.
• Prior experience in programming is required to fully understand the implementation of Artificial Intelligence techniques covered in the course.
• However, Python programming knowledge is optional.