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Category: Machine learning

Neural Network in simplified terms: For beginners

Neural Network in simplified terms: For beginners

In one of the last posts, we have discussed about fundamentals of deep learning. In this post, we will go further and talk about the backbone of deep learning: neural network. This article is for beginners to understand basics of neural network and its applications. A neural network is a type of computing technique in machine learning world. They are often misunderstood as difficult to use and learn. But, they are actually formed using simple processing nodes creating a shape…

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Stochastic Gradient Descent Tehnique

Stochastic Gradient Descent Tehnique

General idea In previous post, we talked about gradient descent optimization technique. Read full article here. In this post we will discuss about incremental/online version of gradient descent optimization algorithm Batch strategies, for example, restricted memory BFGS, which utilize the full preparing set to figure the following refresh to parameters at every emphasis will in general meet exceptionally well to nearby optima. They are likewise straight forward to get working gave a decent off the rack execution (for example minFunc)…

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Sentiment Analysis

Sentiment Analysis

Introduction to sentiment analysis Sentiment analysis is logical mining of content, which recognizes and extricates emotional data in source material, and helping a business to comprehend the social sentiment of their image, item or administration while observing on the web discussions. In any case, analysis of internet based life streams is typically limited to simply fundamental sentiment analysis and tally based measurements. Sentiment analysis is to a great degree valuable in online networking checking as it enables us to pick up a diagram…

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Gradient descent optimization technique

Gradient descent optimization technique

Optimization is the process that aims to choose a best component (as to some foundation) from some arrangement of accessible options. Moreover, optimization is the final objective in problem solving situations, whether the problem belongs to computer science, mathematics, operational research or real life. Optimization techniques allows the problem to use available resources in best possible way. Hence it saves time, space and overall execution cost of the problem. In case of machine learning problems, one does not have idea…

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Application of machine learning in banking

Application of machine learning in banking

Technology is interesting and attractive always! It inspires technocrats to work more and innovate new ideas. But what if the technology has no applications in the real world? People will ignore it then. Machine learning is buzzword nowadays and it is important to know what are its real-time applications and how it is useful for you. Machine learning has wide use cases in banking domain. Let us see what are they. It is needless to say that banks need to…

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