Unsupervised learning – introduction Talk about clustering Learning from unlabeled data Unsupervised learning Useful to contras with supervised learning Compare and contrast Supervised learning Given a set of labels, fit a hypothesis to it Unsupervised learning Try and determining structure in the data Clustering algorithm groups data together based on data features What Read more…
Support Vector Machine (SVM) – Optimization objective So far, we’ve seen a range of different algorithms With supervised learning algorithms – performance is pretty similar What matters more often is; The amount of training data Skill of applying algorithms One final supervised learning algorithm that is widely used – support vector machine (SVM) Compared Read more…
Machine learning systems design In this section we’ll touch on how to put together a system Previous sections have looked at a wide range of different issues in significant focus This section is less mathematical, but material will be very useful non-the-less Consider the system approach You can understand all Read more…
Deciding what to try next We now know many techniques But, there is a big difference between someone who knows an algorithm vs. someone less familiar and doesn’t understand how to apply them Make sure you know how to chose the best avenues to explore the various techniques Here we focus deciding Read more…
Neural network cost function NNs – one of the most powerful learning algorithms Is a learning algorithm for fitting the derived parameters given a training set Let’s have a first look at a neural network cost function Focus on application of NNs for classification problems Here’s the set up Training Read more…
Neural networks – Overview and summaryWhy do we need neural networks? Say we have a complex supervised learning classification problem Can use logistic regression with many polynomial terms Works well when you have 1-2 features If you have 100 features e.g. our housing example 100 house features, predict odds of Read more…
The problem of overfitting So far we’ve seen a few algorithms – work well for many applications, but can suffer from the problem of overfitting What is overfitting? What is regularization and how does it help Overfitting with linear regression Using our house pricing example again Fit a linear function Read more…
Author : Sylvain Tesson Les génies de l’humanité étaient des hommes qui avaient choisi une voie unique, sans dévier. Hector Berlioz voyait dans “l’idée fixe” la condition du génie. Il soumettait la qualité d’une oeuvre à l’unité du motif. Si l’on voulait passer à la posterité mieux valait ne pas Read more…
Being an alpinism enthousiast and a mountain lover it was only natural that I visit Nepal at some point in my life. I eventually ended up joining my brother and two of his friends on this trip, the tour of the Annapurna’s. The tour goes around the massif of the Read more…
I was skyping with my brother discussing potential travel destination when we finally agreed on what would become a great adventure. Rent motorcycles in Oulan-Bator and ride Mongolia and Camp. We searched a bit on internet on how to do this as neither I nor him had even a motorcycle Read more…