Technical Content Writing
In my free timings I used to write small blogs about Machine learning and Deep Learning. I wanted to start exploring this again
Links can be found here.
What is Machine Learning and how Does it work?
PERSONAL BLOG
This blog describes the basics of Machine Learning and how does it work. It Deals with the basic terms of the Machine Learning and covers a bit about the Deep Learning..
DECESION TREES
PERSONAL BLOG
In this tutorial, we will learn how Decision Trees work. It starts with the basics of the Decision trees like how the trees make decisions and how they are validated with an example..
KNN: Instance based Learning
PERSONAL BLOG
Instance-based learning algorithms in Machine learning are the group of algorithms that, instead of performing explicit generalization, compares new problem instances with instances seen in training, which has been stored in memory. These are called instance based because, these constructs hypotheses directly from the training instances themselves.
Support Vector Machines
PERSONAL BLOG
Support Vector Machines(SVM) are supervised learning models with associated learning algorithms that analyze data used for both classification and regression analysis. Unlike Knn, SVM’s are efficient in both linear and non-linear classification..
Computational Learning Theory
PERSONAL BLOG
Computational learning theory (or just learning theory) is a subfield of Artificial Intelligence devoted to studying the design and analysis of machine learning algorithms. Until now we are talked about specific algorithms for building classifiers i.e algorithms for doing learning..
Neural Networks
PERSONAL BLOG
Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance on) tasks by considering examples, generally without task-specific programming. Artifical neural networks are capable of learning things from tasks like human neurons do. In this article, we are going to discuss basics about Artifical Neural Networks, as this subject comes under Deep Learning that we will discuss in later articles..
Bayesian Learning
PERSONAL BLOG
Bayesian learning is this sort of fundamental Underlying assumption about what we’re trying to do with the machine learning. Bayesian inference is a method of statistical inference in which Bayes’ theorem is used to update the probability of a hypothesis as more evidence or information becomes available..