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  1. Apple Has Created Its Own AI Chatbot, Report Says

    by , 11-28-2023 at 02:29 AM


    Apple has created its own generative artificial intelligence tools to compete with ChatGPT, according to a Bloomberg report Wednesday.
    Apple built its own framework that can create large language models, called "Ajax," as well as a chatbot service that internal engineers ...
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  2. Apple Announces 5 New iPhone 15 Colors, 4 Titanium iPhone 15 Pro Colors

    by , 11-25-2023 at 02:11 AM
    Get ready for a fresh roster of colors with the iPhone 15. The new iPhone was just announced at Apple's annual September event, where it also introduced the new Apple Watch Series 9 and Apple Watch Ultra 2.

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  3. Understanding order placement in MQL5

    by , 11-22-2023 at 02:56 AM
    In any trading system, we need to deal with orders and their operations such as opening positions, placing stop-loss and profit-taking, and modifying orders. Therefore, it is very important to understand how to handle order operations in mql5 when creating a trading system for MetaTrader5. The objective of this article is to provide you a simple guidance for most of the order and position operations to be able to deal with everything about this topic effectively.
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  4. Data label for time series mining (Part 1)

    by , 11-20-2023 at 02:38 AM
    When we design artificial intelligence models, we often need to prepare data first. Good data quality will allow us to get twice the result with half the effort in model training and validation. But our foreign exchange or stock data is special, which contains complex market information and time information, and data labeling is difficult, but we can easily analyze the trend in historical data on the chart.

    This section introduces a method of making data sets with trend marks by EA
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  5. Data Science and Machine Learning (Part 15): SVM, A Must-Have Tool in Every Trader's Toolbox

    by , 11-18-2023 at 07:05 AM
    Support Vector Machine (SVM) is a powerful supervised machine learning algorithm used for linear or nonlinear classification and regression tasks, and sometimes outlier detection tasks.

    Unlike Bayesian classification techniques, and logistic regression which deploy simple mathematical models to classify information, The SVM has some complex mathematical learning functions aimed at finding the optimal hyperplane that separates the data in an N-dimensional space.

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