Quick Thoughts

Our summarization and thoughts on various scientific articles about machine learning or AI.

  • Deep Residual Learning’s New Horizon: The Magic of Residual Networks in Image Detection

    In the realm of computer vision and image recognition, deep learning has achieved numerous breakthroughs. One such pivotal paper is “Deep Residual Learning for Image Recognition” by K. He et al. Let’s unpack the essence of this paper and discuss its implications for the future of AI and machine learning. The Problem: As neural networks… Read More

  • Quickly Understand LSTM and Its Role in Stock Prediction

    The world of finance has been significantly influenced by technological advancements, leading to the development of sophisticated tools for market analysis and prediction. One of the most promising technologies is the Long Short-Term Memory (LSTM) networks, a type of recurrent neural network used extensively in predictive modeling, including stock price forecasting. This post aims to… Read More

  • Understanding Neural Networks in Trading: A Simple, Detailed Guide

    The integration of advanced technologies into financial markets is transforming the landscape of trading, and at the heart of this transformation lies Artificial Intelligence (AI). In particular, the use of neural networks has proven increasingly useful in predictive analysis and decision-making processes. This post will explore neural networks in trading in a straightforward, yet comprehensive… Read More

  • A Quick and Easy Introduction to Fundamental Analysis Techniques

    The fascinating world of financial markets often resembles an ocean, with various analytical techniques serving as compasses that guide investors through the waves of numbers and data. Among the most reliable of these compasses is fundamental analysis. In this article, we’ll delve into the intricacies of fundamental analysis techniques, demystifying them into a comprehensive, yet… Read More