Category: Technology
-
Hello Flutter..!
Let’s say Hello to Flutter, a Cross Platform Application Development Framework. Flutter is Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. It uses Dart programming language to make developers build applications faster and efficient. Widget Widget is the basic component in Flutter framework. Every piece of UI you build…
-
Azure Cognitive Services Computer Vision
Hello everyone, Welcome to my blog on Azure Cognitive Services. Azure provides a wide variety of AI and Machine Learning services which include capability of vision, speech, text etc. In this post, we will discuss on one of the hottest cognitive service provided by Microsoft Azure i.e. Computer Vision. Azure Computer Vision provides us the…
-
Logistic Regression
In our previous post, we’ve discussed about the Decision Trees and implementation of Decision trees in python.In this post, let’s understand what is logistic regression and implement it in Python. Logistic Regression Logistic Regression can be simply understood as an extension to Linear Regression.Generally, in linear regression we deduce a linear relationship between the predictives…
-
Decision Trees in Machine Learning
In our previous post, we’ve implemented python code for the handwritten digit recognition. In this post, let’s understand what are decision trees and implementation of decision trees in python. Decision Trees: Decision trees are trees where each node in them represents a question regarding an attribute, edge represents the answer to the question and leaf…
-
Types of Neural Networks -CNN
We have discussed about Multi Layer Neural Networks and it’s implementation in python in our previous post. In this post, we will discuss briefly on some of the mostly widely used neural network architectures and we will have a detail on Convolutional Neural Networks. Some of the most widely used Neural Nets: Convolutional Neural Networks.…
-
Handwritten digit recognition using KNN
In our previous post, we’ve discussed classification problems and algorithms available in sklearn module along with implementation of KNN algorithm. In this post, let’s build a model to recognize handwritten digits. Requirements : sklearn Commands : Open your anaconda prompt and verify the installation of sklearn using pip list, if not available use the command…
-
Multi Layer Neural Networks Python Implementation
Hello all, It’s been a while i have posted a blog in this series “Artificial Neural Networks”. We are back with an interesting post on Implementation of Multi Layer Networks in python from scratch. We discussed all the math stuff about Multi Layer Networks in our previous post. I recommend you going through that first…
-
Machine Learning: Regression
As discussed in our previous posts, there are two kinds of Machine Learning problems i.e. Classification and Regression. In this post, we will look into Regression and implement one of the simplest regression algorithms in Python. Regression : Regression models are used to predict a continuous variable using our features. In simple terms, our target…
-
Classification in Machine Learning
In our previous post, we have discussed about the steps involved in building a machine learning model which is commonly referred to as a pipeline. In this post we’ll be learning about the classification problems. Classification problem in Machine Learning Classification is a sub-category of supervised learning where our objective is to predict the categorical…
-
Key concepts for model building in ML
In our previous post, we’ve discussed about the buzzword “Machine Learning“, types of machine learning and machine learning problems. In this post we’ll be learning about the steps involved in building a machine learning model. Steps involved to build a machine learning model As every learning process involve a sequence of steps, machine learning also…
Hello World! 