Machine Learning Tips from a World Class Practitioner: Phil Brierley

Last Updated on June 7, 2016 Phil Brierley won the Heritage Health Prize Kaggle machine learning competition. Phil was trained as a mechanical engineer and has a background in data mining with his company Tiberius Data Mining. He is heavily into R these days and keeps a blog at Another Data Mining Blog. In October 2013 he presented to the Melbourne Users of R special interest group. The title of his talk was “Techniques to improve the accuracy of your Predictive Models” and you can […]

September 29, 2020 Machine Learning

5 Steps to Thinking Like a Designer in Machine Learning

Last Updated on June 7, 2016 This is a guest post by Kevin Dalias. I recently had the chance to attend Strata 2014 in Santa Clara, and since it was my first time at the conference, I tried to attend as many sessions as I could to understand what really makes data science tick these days. And of course, I heard plenty of the usual “a data scientist must be…” bullet points, but session after session, a new addition to the […]

September 29, 2020 Machine Learning

Case Study: Predicting the Onset of Diabetes Within Five Years (part 1 of 3)

Last Updated on August 22, 2019 This is a guest post by Igor Shvartser, a clever young student I have been coaching. This post is part 1 in a 3 part series on modeling the famous Pima Indians Diabetes dataset that will introduce the problem and the data. Part 2 will investigate feature selection and spot checking algorithms and Part 3 in the series will investigate improvements to the classification accuracy and final presentation of results. Kick-start your project with my […]

September 29, 2020 Machine Learning

BigML Review: Discover the Clever Features in This Machine Learning as a Service Platform

Last Updated on August 16, 2020 Machine Learning has been commoditized into a service. This is a recent trend that looks like it will develop into the mainstream like commoditized storage and virtualization. It is the natural next step. In this review you will learn about BigML that provides commoditized machine learning as a service for business analysts and application integration. About BigML BigML was co-founded by a group of five guys in 2011. Francisco Martin seems to be active […]

September 29, 2020 Machine Learning

Project Spotlight: Face Recognition with Shashank Singh

Last Updated on June 18, 2019 This is a project spotlight with Shashank Singh a programmer and machine learning enthusiast. Could you please introduce yourself? I did Bachelors of Technology in Computer Science. I co-founded a startup at 23, spectacularly crashed it by 26th birthday. After that I was feeling particularly low and pretty dry of inspiration for quite some time. Shashank Singh I moved to Mumbai, India to joined Idyllic Software and I came in contact with amazing people with such […]

September 29, 2020 Machine Learning

Case Study: Predicting the Onset of Diabetes Within Five Years (part 2 of 3)

Last Updated on August 22, 2019 This is a guest post by Igor Shvartser, a clever young student I have been coaching. This post is part 2 in a 3 part series on modeling the famous Pima Indians Diabetes dataset (update: download from here). In Part 1 we defined the problem and looked at the dataset, describing observations from the patterns we noticed in the data. In this we will introduce the methodology, spot checking algorithms, and review initial results. Kick-start your […]

September 29, 2020 Machine Learning

BigML Tutorial: Develop Your First Decision Tree and Make Predictions

Last Updated on June 7, 2016 BigML is a fresh new and interesting machine learning as a service company based out of Corvallis, Oregon, USA. In a previous post, we reviewed the BigML service, the key features and the ways in which you could use this service in your business, on you side project or to present to clients. In this tutorial we will walk through a step-by-step tutorial on developing a predictive model using the BigML platform and use […]

September 29, 2020 Machine Learning

Introduction to Bayesian Networks with Jhonatan de Souza Oliveira

Last Updated on August 16, 2020 This post is a spotlight interview with Jhonatan de Souza Oliveira on the topic of Bayesian Networks. Could you please introduce yourself? My name is Jhonatan Oliveira and I am an undergraduate student in Electrical Engineering at the Federal University of Vicosa, Brazil. I have been interested in Artificial Intelligence since the beginning of college, when had my first adventure investigating and building a simple chatbot for a Symposium website. I also am a member of an […]

September 29, 2020 Machine Learning

Case Study: Predicting the Onset of Diabetes Within Five Years (part 3 of 3)

Last Updated on August 22, 2019 This is a guest post by Igor Shvartser, a clever young student I have been coaching. This post is part 3 in a 3 part series on modeling the famous Pima Indians Diabetes dataset that will investigate improvements to the classification accuracy and present final results (update: download from here). In Part 1 we defined the problem and looked at the dataset, describing observations from the patterns we noticed in the data. In Part 2 we […]

September 29, 2020 Machine Learning

Python Machine Learning Books

Last Updated on August 16, 2020 Python is a very popular language for machine learning. The machine learning libraries and frameworks in Python (especially around the SciPy stack) are maturing quickly. They may not be as feature rich as R, but they are robust enough for small to medium scale production implementation. If you are a Python programmer looking to get into machine learning or you are generally interested to get into machine learning via Python, then I want to […]

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