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 […]

September 29, 2020 Machine Learning

A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library

Last Updated on August 16, 2020 If you are a Python programmer or you are looking for a robust library you can use to bring machine learning into a production system then a library that you will want to seriously consider is scikit-learn. In this post you will get an overview of the scikit-learn library and useful references of where you can learn more. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and […]

September 29, 2020 Machine Learning

Bootstrapping Machine Learning: An Upcoming Book on Prediction APIs

Last Updated on June 7, 2016 I came across an upcoming book that might interest you. It is titled Bootstrapping Machine Learning by Louis Dorard, PhD. A 40-page sample is provided and I enjoyed it. I think the final book will be a valuable read. Cover of the upcoming book: Bootstrapping Machine Learning Louis takes the position that machine learning is commoditized to the point where if you are an application developer, you don’t need to learn machine learn ing algorithms, you only need to learn machine […]

September 29, 2020 Machine Learning

The Data Analytics Handbook: Data Analysts and Data Scientists

Last Updated on June 7, 2016 What is the difference between a Data Analyst and a Data Scientist and what type of work do they do all day? These questions and questions like them are answered in the new free ebook The Data Analytics Handbook: Data Analysts and Data Scientists. Cover of the The Data Analytics Handbook: Data Analysts and Data Scientists The ebook was created by Brian Liou, Tristan Tao and Elizabeth Lin. Brian and Tristan are Computer Science + Statistics grads and run the blog statsguys. Although […]

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