SQL
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SQL for Data Science: Subqueries and Joins

Peter Foy
Peter Foy
In this article on SQL for data science, we discuss how to merge and combine data from multiple sources using subqueries and joins.…
SQL
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SQL for Data Science: Filtering, Sorting, and Calculating Data

Peter Foy
Peter Foy
In this article, we discuss how to filter, sort, aggregate, calculate, and group data with SQL.…
SQL
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SQL for Data Science: Selecting and Retrieving Data

Peter Foy
Peter Foy
In this article, we introduce SQL for data science, including how to select and retrieve data, common SQL syntax, and more.…
Reinforcement Learning
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Fundamentals of Reinforcement Learning: Dynamic Programming

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

Peter Foy
Peter Foy
In this article, we discuss fundamental concepts in reinforcement learning including policies, value functions, and Bellman equations.…
Reinforcement Learning
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Fundamentals of Reinforcement Learning: Markov Decision Processes

Peter Foy
Peter Foy
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
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Fundamentals of Reinforcement Learning: Estimating the Action-Value Function

Peter Foy
Peter Foy
In this article, we introduce fundamental concepts of reinforcement learning—including the k-armed bandit problem, estimating the action-value function, and the exploration vs. exploitation dilemma.…
Quantitive Modeling
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Introduction to Quantitative Modeling: Regression Models

Peter Foy
Peter Foy
In this article, we'll introduce an important concept in quantitative modeling: regression models, which are an important tool for predictive analytics.…
Quantitive Modeling
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Introduction to Quantitive Modeling: Probabilistic Models

Peter Foy
Peter Foy
In this article, we introduce a subset of quantitative modeling: probabilistic models, which have a key component of incorporating uncertainty into them.…
Quantitive Modeling
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Introduction to Quantitative Modeling: Linear Models

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