CXD Analytics Blog

Various content about AI, Data Science, Math, and Finance

How Large Language Models (LLMs) Will Change Our World: Lessons from the Evolution of The Internet

Imagine it's the early 1990s, and the Internet is still a relatively new concept. Back then, many people didn't fully grasp its potential... Large language models (LLMs) are at a similar stage today...

Quantitative Finance: Probability Theory

Probability theory plays a crucial role in quantitative finance, as it provides the foundation for modeling and understanding the complex dynamics of financial markets. Let's explore some of the key areas of probability theory that are particularly relevant for quantitative finance...

Understanding Financial Accounting for Quantitative Research: 13 blog posts that introduce financial accounting to quantitative researchers/analysts/developers

During the development of a project aimed at creating portfolio management tools based on econometric and machine learning models, which utilize financial statement data among other sources, it was imperative for me to immerse myself in the study of financial accounting from an analyst's perspective...

Mathematics as the Key: Unlocking the Potential of a Career in Data Science and Quantitative Finance

Explore the topics of math that are crucial for excelling in a career in data science and quantitative finance. While this is not an exhaustive list, this post points out some of the important areas of math one working in data science and quantitative finance should be aware of...

Foundations of Modern Finance: 14 blog posts on fundamental modern finance topics

At CXD Analytics, my present endeavors are centered around the integration of machine learning techniques within the financial domain. This series of blog posts is the culmination of the foundational principles I have learned from my time with the MIT Sloan School of Management. As a participant in the MITx MicroMasters Program in Finance, I have explored various areas of finance in the courses Foundations of Modern Finance I & II, and carefully distilled the key concepts here to share...

Data-Driven Investment Strategies: How AI is Revolutionizing Portfolio Management

Portfolio management has been revolutionized by the integration of machine learning and data science. Today, portfolio managers are leveraging the power of these technologies to improve portfolio performance, reduce risk, and make more informed investment decisions...

AI, Machine Learning, and Data Science

What is all the hype about and what does it mean for my business? So what do you think AI, Data Science and Machine Learning are and what can they do to help your business and improve your life? This article will help to answer those questions...

Five Requirements for Successful ML Projects

Learn the basics of what makes a successful machine learning project. To unlock the full potential of data analytics and machine learning (ML) projects, organizations must adopt a strategic, comprehensive approach that aligns business, product, and engineering goals...

What is a Machine Learning Pipeline

Get an overview of why you should consider an ML pipeline. A machine learning (ML) pipeline can be thought of as a way of breaking down a machine learning solution into sequenceable stages. The core of these stages are data access, data pre-processing, ML model development, ML model deployment, and ML model monitoring and support...


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