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Articles by Debug Break
Data Science and ML (Part 33): Pandas Dataframe in MQL5, Data Collection for ML Usage made easier
It is now easy to import sophisticated AI models into MQL5 and use them in MetaTrader 5 like nothing, It is still not easy to keep your model in sync with the data structure similar to the one used for training. In this article, I introduced a custom class named CDataframe to aid us when dealing with two-dimensional data in an environment that feels like the one in Pandas library which is very familiar to the machine learning community and data scientists coming from a Python background.
Data Science and ML (Part 23): Why LightGBM and XGBoost outperform a lot of AI models?
Gradient Boosted Decision Trees (GBDT) are a powerful machine learning technique used primarily for regression and classification tasks. They combine the predictions of multiple weak learners, usually decision trees, to create a strong predictive model. The core idea is to build models sequentially, each new model attempting to correct the errors made by the previous ones.
Data Science and Machine Learning(Part 20) : Algorithmic Trading Insights, A Faceoff Between LDA and PCA in MQL5
-- The more you have, The less you see! LDA is a supervised generalization machine learning algorithm that aims to find a linear combination of features that best separates the classes in a dataset. Just like the Principal Component Analysis(PCA), it is a dimension reduction algorithm, These algorithms are a common choice for dimensionality reduction, in this article we are going to compare them and observe in what situation each algorithm works best.
Masters of Mimicry: new APT group ChamelGang and its arsenal
Contents Introduction In Q2 2021, the PT Expert Security Center incident response team conducted an investigation in an energy company. The investigation revealed that the company's network had been compromised by an unknown group for the purpose of data theft. We gave the group the name ChamelGang (from the word "chameleon"), because the group disguised its malware and network infrastructure under legitimate services of Microsoft, TrendMicro, McAfee, IBM, and Google.
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