If you are interested in Machine Learning and trying to build a project. You will definitely come across the need of huge dataset which is the essential part of a Machine Learning project. Dataset can be easily obtained from internet as it contains tons of data but it is possible that it might not be …
Tag Archives: machine learning
Final Week of ML
After completing a loads of assignments given by Andrew NG in his course of Machine Learning, we came to an end where he has given the application of machine learning in Photo OCR and its implementation. OCR, or optical character recognition, is one of the earliest addressed computer vision tasks, since it does not require …
Anomaly Detection System
In machine learning, building a Anomaly Detection System is important to detect the unusual training set from the examples. Anomaly Detection is the identification of rare item which lies out of the group or from the majority of the data. This lead to the suspicious nature of the training example. For example:-Suppose we are testing …
Data Compression and PCA
Data compression is very useful technique for storing large amount of data which is used as training set for solving Machine Learning algorithm.Data Compression is a process of modify or converting the bits structure of data in such a way that it consumes less space on disk. PRINCIPAL COMPONENT ANALYSIS(PCA) This is used to reduce the 2-Dimensional …
Bias vs. Variance
In this section we will learn about bias and variance which is one the factor of contributing error in our prediction.Not only, by using high degree of polynomial, we can reduce the training error but also by understanding about the Bias and variance.So what actually is Bias and variance? High bias (underfitting): both Jtrain(Θ) and JCV(Θ) will be high. …
Evaluation Of Our Hypothesis
Machine learning is not all about creating a data model which can predict the answer based on the given training set but also to improve the efficiency of our Model by checking for errors. There are many ways to check for error, which can be given as:- Getting more training examples Trying smaller sets of …
Neural Network-Autonomous Driving
This blog is not the traditional blog but a video blog in which my mentor explained the use of Neural networks in Autonomous Driving i.e. self driving cars which uses the large application of neural networks and works in the following way which you will be seeing in the below video. The videos has been …
Cost Function and Backpropagation-Neural Networks
After the understanding of Neural networks, you must be how to calculate the h(theta) for the output node of it. There is a way to calculate it which you might be thinking, Yes it the “Cost Function” only. The same cost function which you are using to calculate the logistic regression but with generalization. With …
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Application of Neural Networks
Neural Networks can be applied in the wide variety of problems including all the large algorithm which requires extensive paperwork, can be done in few minutes with the help of neural networks. They started explaining with the help of small examples like simple AND, OR and XOR gate implementation with neural networks. AND gate implementation …
Week-4 Neural Network
For the first hour, he was trying to motivate us to encapsulate the knowledge of Neural Network because it has great usage in Machine learning and can be used more efficiently other than logistic regression. Neural Network Algorithm that try to mimic the brain.Everything we do with our brain like learning and reproducing it when …
The Thesis Whisperer 