This is a project spotlight with Konstantin Slisenko a programmer and machine learning enthusiast. Could you please introduce yourself? My name is Konstantin Slisenko, I’m from Belarus. I graduated from the Belarusian State University of Informatics and Radioelectronics. I am currently taking a master course. I’m a Java developer and work in JazzTeam company. I like […]
Search results for "Machine Learning"
Feature Selection to Improve Accuracy and Decrease Training Time
Working on a problem, you are always looking to get the most out of the data that you have available. You want the best accuracy you can get. Typically, the biggest wins are in better understanding the problem you are solving. This is why I stress you spend so much time up front defining your […]
A Simple Intuition for Overfitting, or Why Testing on Training Data is a Bad Idea
When you first start out with machine learning you load a dataset and try models. You might think to yourself, why can’t I just build a model with all of the data and evaluate it on the same dataset? It seems reasonable. More data to train the model is better, right? Evaluating the model and […]
Make Better Predictions with Boosting, Bagging and Blending Ensembles in Weka
Weka is the perfect platform for studying machine learning. It provides a graphical user interface for exploring and experimenting with machine learning algorithms on datasets, without you having to worry about the mathematics or the programming. In a previous post we looked at how to design and run an experiment running 3 algorithms on a […]
Design and Run your First Experiment in Weka
Weka is the perfect platform for learning machine learning. It provides a graphical user interface for exploring and experimenting with machine learning algorithms on datasets, without you having to worry about the mathematics or the programming. A powerful feature of Weka is the Weka Experimenter interface. Unlike the Weka Explorer that is for filtering data […]
How to Run Your First Classifier in Weka
Weka makes learning applied machine learning easy, efficient, and fun. It is a GUI tool that allows you to load datasets, run algorithms and design and run experiments with results statistically robust enough to publish. I recommend Weka to beginners in machine learning because it lets them focus on learning the process of applied machine learning rather […]
What if I’m Not a Good Programmer
Programming is a part of machine learning, but machine learning is much larger than just programming. In this post you will learn that you do not have to be a programmer to get started in machine learning or find solutions to complex problems. Programming Machine Learning Machine learning algorithms are implemented in code. Programmers like […]
What if I Don’t Have a Degree
I have seen people that think that they need to get a degree in machine learning. I am all for degrees, I just don’t think they are for everyone. I also know that you can get started in machine learning and go far without a degree. In this post I will convince you that you […]
What If I Am Not Good At Mathematics
Practitioners of practical subjects can suffer from math envy. This is where they think that mathematicians are smarter than they are and that they cannot excel in a subject until they “know the math”. I have seen this first hand, and I have seen it stop people from getting started. In this post, I want […]
Hands on Big Data by Peter Norvig
When I’m asked about resources for big data, I typically recommend people watch Peter Norvig’s Big Data tech talk to Facebook Engineering from 2009. It’s fantastic because he’s a great communicator and clearly and presents the deceptively simple thesis of big data in this video. In this blog post I summarize this video for you […]