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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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You're Doing it Wrong. Why Machine Learning Does Not Have to Be So Hard

You’re Doing it Wrong. Why Machine Learning Does Not Have to Be So Hard

Technical topics like mathematics, physics, and even computer science are taught using a bottom-up approach. This approach involves laying out the topics in an area of study in a logical way with a natural progression in complexity and capability. The problem is, humans are not robots executing a learning program. We require motivation, excitement, and […]

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Why Do Machine Learning Algorithms Work on Data They Have Not Seen?

Why Do Machine Learning Algorithms Work on Data That They Have Not Seen Before?

The superpower of machine learning is generalization. I recently got the question: “How can a machine learning model make accurate predictions on data that it has not seen before?” The answer is generalization, and this is the capability that we seek when we apply machine learning to challenging problems. In this post, you will discover […]

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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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How to Go From Working in a Bank to Senior Data Scientist at Target

How to Go From Working in a Bank To Hired as Senior Data Scientist at Target

How Santhosh Sharma Went FromWorking in the Loans Department of a Bank to Getting Hired as a Senior Data Scientist at Target. Santhosh Sharma recently reached out to me to share his inspirational story and I want to share it with you. His story shows how with enthusiasm for machine learning, taking the initiative, sharing your results and a […]

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Beginners are Different

The Machine Learning Mastery Method

5-Steps To Get Started and Get Good at Machine Learning I teach a 5-step process that you can use to get your start in applied machine learning. It is unconventional. The traditional way to teach machine learning is bottom-up. Start with the theory and math, then algorithm implementations, then send you off to figure out […]

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Machine Learning In A Year

Machine Learning In A Year

Per Went From Developer To Machine Learning Practitioner,And So Can You! Per Borgen is an inspiration. He transitioned from developer to machine learning practitioner. And he explained how he did it. In this post, you will discover the lessons learned by Per on his transition. You will discover two methodologies he adopted and how you […]

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