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A Gentle Introduction to Hypotheses in Machine Learning

What is a Hypothesis in Machine Learning?

Supervised machine learning is often described as the problem of approximating a target function that maps inputs to outputs. This description is characterized as searching through and evaluating candidate hypothesis from hypothesis spaces. The discussion of hypotheses in machine learning can be confusing for a beginner, especially when “hypothesis” has a distinct, but related meaning […]

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How to Think About Machine Learning

How to Think About Machine Learning

Machine learning is a large and interdisciplinary field of study. You can achieve impressive results with machine learning and find solutions to very challenging problems. But this is only a small corner of the broader field of machine learning often called predictive modeling or predictive analytics. In this post, you will discover how to change […]

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Difference Between Classification and Regression in Machine Learning

Difference Between Classification and Regression in Machine Learning

There is an important difference between classification and regression problems. Fundamentally, classification is about predicting a label and regression is about predicting a quantity. I often see questions such as: How do I calculate accuracy for my regression problem? Questions like this are a symptom of not truly understanding the difference between classification and regression […]

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How a Student Used Tutorials to Get a Machine Learning Internship and a Job on a Data Science Team

How Álvaro Lemos got a Machine Learning Internship on a Data Science Team

Stories of how students and developers get started in applied machine learning are an inspiration. In this post, you will hear about Álvaro Lemos story and his transition from student to getting a machine learning internship. Including: How interest in genetic algorithms lead to the discovery of neural networks and the broader field of machine learning. How […]

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