Archives for Developers Corner - Page 232

20 Jun

Model-Based Machine Learning Can Help Overcome Challenges In Model Building Techniques

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image-5248

With the revolution of data, almost every organisations are shifting towards making data-driven decisions. During the last few decades, machine learning has been playing as a protagonist in a number of domains in the organisations. It has been broadly used in domains like speech recognition, autonomous vehicles, medical imaging, etc. With the researches going on…

The post Model-Based Machine Learning Can Help Overcome Challenges In Model Building Techniques appeared first on Analytics India Magazine.

20 Jun

A Beginner’s Guide To Scikit-Learn’s MLPClassifier

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image-5246

There is no objection in saying that Classification is one of the most popular Machine learning problems across the entirety of Data Science and Machine Learning. We humans have been so fixated on making a machine learn to classify and categorize things, whether it be images, symbols or whatever form that data can take. Artificial…

The post A Beginner’s Guide To Scikit-Learn’s MLPClassifier appeared first on Analytics India Magazine.

20 Jun

How To Establish Domain Transferability In Neural Models

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If a neural network say CNNs, are tasked with identifying the numbers, it is supposed to do this easily considering its reputation with image classification tasks. The above image has digits in two styles. CNNs can achieve reasonably good accuracy (98%) when trained and evaluated on the source domain (SVHN). However, the same CNN model…

The post How To Establish Domain Transferability In Neural Models appeared first on Analytics India Magazine.

20 Jun

Introduction To Feature Engineering And Its Techniques For Machine Learning

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image-5230

A feature can be said as the numeric representation of both structured and unstructured data. Feature engineering is one of the crucial steps in the process of predictive modelling. This method basically involves the transformation of given feature space, typically using mathematical functions, with the objective of reducing the modeling error for a given target.…

The post Introduction To Feature Engineering And Its Techniques For Machine Learning appeared first on Analytics India Magazine.

20 Jun

How To Solve Your First Ever NLP Classification Challenge

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image-5226

A huge portion of the data that exists today is textual and as a Data Scientist, it is very important to have the skill sets to process these textual data. Natural Language processing has been around for a long time and it has been growing in popularity. Today almost all tech devices have some sort…

The post How To Solve Your First Ever NLP Classification Challenge appeared first on Analytics India Magazine.

19 Jun

New Update For Java Developers: Microsoft Introduces VS Code Package Installer

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image-5206

Visual Studio Code is regarded as one of the simplest and most user-friendly text editors. Unlike other editors that become slower when you install add-ons, VS Code still runs in a faster manner with the plugins. According to the findings from a recent Stack Overflow Annual Developer survey results 2019, Visual Studio Code has been…

The post New Update For Java Developers: Microsoft Introduces VS Code Package Installer appeared first on Analytics India Magazine.

18 Jun

A Beginner’s Guide To Generative Adversarial Networks(GANs)-The Concept Behind DeepFake 

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image-5188

In the early 1960s, AI pioneer Herbert Simon observed that in a span of two decades, machines will match the cognitive abilities of humankind. Predictions like these motivated theorists, sceptics and thinkers from a cross-section of domains to find ways to use computers to perform routine tasks. From Heron’s Automatons in the first century to…

The post A Beginner’s Guide To Generative Adversarial Networks(GANs)-The Concept Behind DeepFake  appeared first on Analytics India Magazine.

18 Jun

R Squared Vs Adjusted R Squared: Explaining The Key Differences

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image-5178

  As far as regression models are concerned, there is a certain degree of level of correlation between the independent and dependent variables in the dataset that let us predict the dependent variable. In statistics, this correlation can be explained using R Squared and Adjusted R Squared. In other words, R Squared and Adjusted R…

The post R Squared Vs Adjusted R Squared: Explaining The Key Differences appeared first on Analytics India Magazine.

17 Jun

Introduction To t-Stochastic Neighbour Embedding, The ML Tool For Data Visualisation

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image-5146

Visual exploration can be said as one of the crucial components of data analysis. Visualisation of high-dimensional datasets can be said as one of the major tasks in several domains. In this article, we will help you understand the basic of t-SNE and it’s weaknesses. Stochastic Neighbour Embedding (SNE) locates the objects in a low-dimensional…

The post Introduction To t-Stochastic Neighbour Embedding, The ML Tool For Data Visualisation appeared first on Analytics India Magazine.