SQL

members

## SQL for Data Science: Subqueries and Joins

In this article on SQL for data science, we discuss how to merge and combine data from multiple sources using subqueries and joins.…

SQL

members

## SQL for Data Science: Filtering, Sorting, and Calculating Data

In this article, we discuss how to filter, sort, aggregate, calculate, and group data with SQL.…

SQL

members

## SQL for Data Science: Selecting and Retrieving Data

In this article, we introduce SQL for data science, including how to select and retrieve data, common SQL syntax, and more.…

Reinforcement Learning

members

## Fundamentals of Reinforcement Learning: Dynamic Programming

Dynamic programming is fundamental to many reinforcement learning algorithms. In this article, we discuss how it can be used for policy evaluation and control.…

Reinforcement Learning

members

## Fundamentals of Reinforcement Learning: Policies, Value Functions, & Bellman Equations

In this article, we discuss fundamental concepts in reinforcement learning including policies, value functions, and Bellman equations.…

Reinforcement Learning

members

## Fundamentals of Reinforcement Learning: Markov Decision Processes

In this article, we discuss several fundamental concepts of reinforcement learning including Markov decision processes, the goal of reinforcement learning, and continuing vs. episodic tasks.…

Reinforcement Learning

members

## Fundamentals of Reinforcement Learning: Estimating the Action-Value Function

In this article, we introduce fundamental concepts of reinforcement learningâ€”including the k-armed bandit problem, estimating the action-value function, and the exploration vs. exploitation dilemma.…

Quantitive Modeling

members

## Introduction to Quantitative Modeling: Regression Models

In this article, we'll introduce an important concept in quantitative modeling: regression models, which are an important tool for predictive analytics.…

Quantitive Modeling

members

## Introduction to Quantitive Modeling: Probabilistic Models

In this article, we introduce a subset of quantitative modeling: probabilistic models, which have a key component of incorporating uncertainty into them.…

Quantitive Modeling

members

## Introduction to Quantitative Modeling: Linear Models

In this article, we introduce key concepts of quantitative modeling for finance. This includes the modeling workflow, common vocabulary, and several mathematical functions.…