You can access the full course here: Convolutional Neural Networks for Image Classification Intro to Image Recognition Let’s get started by learning a bit about the topic itself. Image recognition is, at its heart, image classification so we will use these terms interchangeably throughout this course. We see images or real-world items and we classify … Read moreAn Introduction to Image Recognition
You can access the full course here: Data Insights with Cluster Analysis Part 1 In this video we are going to discuss Cluster Analysis. We will discuss the following topics: Intro to Cluster Analysis – what is it, what are it’s different applications, the kinds of algorithms we can expect. K-means clustering Density-based Spatial Clustering … Read moreHow to do Cluster Analysis with Python
You can access the full course here: Build a Spam Detector AI with Text Classification Transcript Part 1 Hello everybody my name is Mohit Deshpande, and in this course we’ll be building an AI that would be able to determine if an input email is spam or not. And so you can see in … Read moreHow to Build a Spam Detector
You can access the full course here: Build Sarah – An Image Classification AI Transcript 1 Hello everybody, and thanks for joining me, my name is Mohit Deshpande, and in this course we’ll be building an image classification app. Given a set of images, we’re going to train an AI to learn what these images … Read moreHow to Classify Images using Machine Learning
Go from Zero to Python Expert – Learn Computer Vision, Machine Learning, Deep Learning, TensorFlow, Game Development and Internet of Things (IoT) App Development. We live in a world that is continuously advancing as a result of technological innovation. To succeed in this ever-changing world, you’ll need to learn and gain expertise in the technologies … Read morePython Mini-Degree
We are excited to announce the launch of our free ebook Machine Learning for Human Beings, authored by researcher in the field of computer vision and machine learning Mohit Deshpande, in collaboration with Pablo Farias Navarro, founder of Zenva. In over 100 pages you will learn the basics of Machine Learning – text classification, clustering and even face recognition … Read moreFree Ebook – Machine Learning For Human Beings
One challenge of neural or deep architectures is that it is difficult to determine what exactly is going on in the machine learning algorithm that makes a classifier decide how to classify inputs. This is a huge problem in deep learning: we can get fantastic classification accuracies, but we don’t really know what criteria a … Read moreSupervised Learning – Using Decision Trees to Classify Data
One of the most widely-used and robust classifiers is the support vector machine. Not only can it efficiently classify linear decision boundaries, but it can also classify non-linear boundaries and solve linearly inseparable problems. We’ll be discussing the inner workings of this classification jack-of-all-trades. We first have to review the perceptron so we can talk … Read moreClassification with Support Vector Machines
Face recognition is ubiquitous in science fiction: the protagonist looks at a camera, and the camera scans his or her face to recognize the person. More formally, we can formulate face recognition as a classification task, where the inputs are images and the outputs are people’s names. We’re going to discuss a popular technique for face … Read moreFace Recognition with Eigenfaces
The challenge of text classification is to attach labels to bodies of text, e.g., tax document, medical form, etc. based on the text itself. For example, think of your spam folder in your email. How does your email provider know that a particular message is spam or “ham” (not spam)? We’ll take a look at … Read moreText Classification Tutorial with Naive Bayes
