What is Gradient Descent in machine learning?

What is Gradient Descent in machine learning?

The process of repeatedly nudging an input of a function by some multiple of the negative gradient is called gradient descent. It’s a way to converge towards some local minimum of a cost function basically valley in a graph.¬† According to Wikipedia, Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum or minimum cost of a function using gradient descent, one takes steps proportional…

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What is Activation Functions in Neural Network (NN)?

What is Activation Functions in Neural Network (NN)?

In Artificial Neural Network (ANN), the activation function of a neuron defines the output of that neuron given a set of inputs. For Neural Network to achieve maximum predictive power, we must apply activation function in the hidden layers. An activation function allows the model to capture non-linearities. Image 1 below from study.com gives examples of linear function and reduces nonlinear function. If the relationships in the data are not straight line relationships we will…

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Pay Phone Bills Directly Using ATM Card With Tulanaa

Pay Phone Bills Directly Using ATM Card With Tulanaa

Have you ever thought of paying bills with your ATM card directly without any hassle? If you are a frequent visitor to online payment sites you might have had this idea several times. Now your dreams have come true with TULANAA, a product of Inspiring Lab Pvt Ltd. Tulanaa has got lots of features other than paying phone bills. Features like comparing packages of different telecom operators, optimizing phone bills, current offers from operators. Furthermore,…

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What is Transfer Learning?

What is Transfer Learning?

Transfer Learning is a machine learning technique where model trained on one task could be applied to the different but related problem. For example (from Wikipedia), knowledge gained while learning to recognize cars could apply when trying to recognize trucks. This model is retrained in a similar problem which will drastically cut down the training time. To conduct deep learning could take days, but transfer learning helps to conduct the work in a very short…

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How to resolve “unexpected error occurred on navigator start-up psutil.accessdenied” in Anaconda?

How to resolve “unexpected error occurred on navigator start-up psutil.accessdenied” in Anaconda?

This article is pretty short and to the point. If you are user of Anaconda you might have or would be encountered with this error. The possible issue that might cause this error is outdated navigator. Here the solution which solved my issue. It is well tested and Yes! it works. Open the terminal in your system. And follow the command below. $ conda update conda $ conda update anaconda-navigator $ conda update navigator-updater $…

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What is Computer Vision ?

What is Computer Vision ?

Computer Vision is a field in Artificial Intelligence and Computer Science that deals with giving the computer a high-level understanding of the real world. In other words, it tries to mimic the real world like human do from digital images or videos. The major steps in Computer Vision are: Image Acquiring Image Processing Image Analysis and understanding Image Acquisition The process of translating analog data into digital binary format ie. 0 or 1 that is…

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What is Bias-Variance Tradeoff?

What is Bias-Variance Tradeoff?

Bias/Variance Tradeoff is a concept in machine learning which refers to the problem of minimizing two major sources of errors at the same time and prevent the supervised learning algorithms from generalizing to accommodate inputs beyond the original training set. The two error sources here are: Bias Variance Sources of Error Bias Error (Underfitting): In case of underfitting, the bias is an error from a faulty assumption in the learning algorithm. This is such that…

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What is Unsupervised Machine Learning?

What is Unsupervised Machine Learning?

Unsupervised learning is like you only have input variables and no corresponding output variables. It means the dataset is unlabeled or same labeled, unlike supervised learning.¬† The goal of unsupervised machine learning technique is to find similarities/patterns in the data points and group similar data points together. For example, grouping a crowd based on the color of the shirt/ t-shirt they are wearing, or skin color or hair category or gender etc. Unsupervised learning is…

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What is Supervised Machine Learning?

What is Supervised Machine Learning?

As the name suggests Supervised means there is some supervision in the learning methodology. It is like learning from the teacher or having supervision from the master. The machine learning technique in which well-labeled data is used to classify or predict the correct output by learning from the previous similar attribute in the data. Well labeled means data has an input-output sequence. For this at first, some example training dataset is fetched to create a…

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