Max Reynolds
PhD Candidate at University of Pittsburgh
Expertise: Machine learning, deep learning, data science.
Education: University of Pittsburgh

Max Reynolds is a PhD candidate at the University of Pittsburgh school of medicine, with a specialty in statistics and machine learning for neuroimaging. Reynolds previously worked as a software engineer for Palo Alto Health Sciences. He is currently researching deep learning and bayesian statistics approaches for brain imaging. Reynolds holds a bachelor’s degree in computer science from the University of Colorado, Boulder. 

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A path cutting through a field. Dijkstra's Algorithm finds the shortest path between two points in a weighted graph.
Use this algorithm to solve many real-world problems.
A baby looking at contrasting images. Contrastive learning can be used for self-supervised learning in machine learning.
This machine learning technique can be used for self-supervised learning and has other use cases, too.
A robot reading a book. The expectation maximization algorithm is used to estimate the parameters of probabilistic models.
The EM algorithm is a widely used optimization algorithm in machine learning and statistics.
A person creating a basic calculator program in Python.
Creating a basic calculator program in Python is a great way to get familiar with the language and its logic.
SQL functions are pre-written actions that can be called on individual cells, multiple cells in a record, or multiple records.
SQL aggregate functions and scalar functions are important tools that can be used to flexibly manipulate and extract information from a database.
A person at a computer creates a table using SQL data types.
Understanding the SQL data types is an important aspect of managing and manipulating data in relational databases.
Two devs examining SOQL and SQL code.
SOQL is Salesforce’s proprietary programming language that’s used to query data directly from your Salesforce. SQL is a language used to query data from a general database. Here’s what you need to know.