Key AI Terminology Explained: A Beginner’s GuideThis article serves as a beginner-friendly glossary of essential AI terms, breaking them down into simple language with real-world…1d ago1d ago
Machine Learning vs. Deep Learning vs. Data Science: What’s the Difference?These buzzwords are often used interchangeably, but they have distinct meanings.5d ago5d ago
AI Explained: A Beginner’s Guide to AI and Its TypesIn this article, we’ll break down AI in simple terms, explore its history, and explain the different types of AI.Mar 31Mar 31
Published inInsiderFinance WireAdam Optimizer — AI Meets Finance: Algorithms SeriesWhat exactly is the Adam Optimizer? How does it work, and why does it matter in finance?Mar 27Mar 27
Published inInsiderFinance WireMarkov Decision Processes (MDP) — AI Meets Finance: Algorithms SeriesMDP is a mathematical approach that helps in making optimal decisions in uncertain environments, balancing risk and reward with each…Mar 24Mar 24
Published inInsiderFinance WireConvolutional Neural Networks (CNN) — AI Meets Finance: Algorithms SeriesCNNs stand out as a powerful tool, originally developed for image processing but now being widely used in finance.Mar 20Mar 20
Published inInsiderFinance WireQ-Learning — AI Meets Finance: Algorithms SeriesIn this article, we’ll explore how Q-Learning works, how to implement it in Python, and why it has become an essential tool in finance.Mar 17Mar 17
Recurrent Neural Networks (RNN) — AI Meets Finance: Algorithms SeriesRNNs are designed to handle sequential data, like time series data commonly found in financial markets.Mar 13Mar 13
SARSA (State-Action-Reward-State-Action) — AI Meets Finance: Algorithms SeriesIn this article, we’ll break down how SARSA works and how it’s applied in trading strategies, portfolio management, and risk assessment.Mar 10Mar 10
Published inInsiderFinance WireGated Recurrent Units (GRU) — AI Meets Finance: Algorithms SeriesGRUs can identify trends, evaluate past market behaviors, and even assist in predicting stock prices.Mar 6Mar 6
