Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction After looking at the progress […]. The post Do Tree-based Models Outperform Deep Learning Models on Tabular Data?

Deep Learning 367

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Analytics Vidhya

JUNE 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […].

Deep Learning 399

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Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Overview Malaria is a significant burden on our healthcare system and it is the major cause of death in many developing countries. The post Deep Learning based Malaria Detection Model for Beginners appeared first on Analytics Vidhya.

Deep Learning 358

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Analytics Vidhya

MARCH 8, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Deep learning, a subset of machine learning, is undoubtedly gaining popularity due to big data.

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Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications.

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Analytics Vidhya

JUNE 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hello There, This blog has an example of an ensemble of. The post Ensemble Deep Learning | An Ensemble of deep learning models! appeared first on Analytics Vidhya.

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OCTOBER 30, 2021

This article was published as a part of the Data Science Blogathon Overview What is Transfer Learning and it’s Working How Transfer Learning Works Why Should You Use Transfer Learning? The post Understanding Transfer Learning for Deep Learning appeared first on Analytics Vidhya.

Deep Learning 380

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Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions.

Deep Learning 381

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Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. The post Web Traffic Forecasting Using Deep Learning appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning has paved its roots much more decisively in our daily lives. Similarly, deep learning has also evolved in […]. Similarly, deep learning has also evolved in […].

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Analytics Vidhya

FEBRUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is the subfield of machine learning which uses a set of neurons organized in layers. A deep learning model consists of three layers: the input layer, the output layer, and the hidden layers.

Deep Learning 336

Deep Learning Machine Learning Data Science Publishing 336

Analytics Vidhya

APRIL 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature.

Deep Learning 336

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Analytics Vidhya

SEPTEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Algorithms The goal of deep learning is to create models that have abstract features. The post A Beginner’s Guide to Deep Learning Algorithms appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 7, 2021

This article was published as a part of the Data Science Blogathon Overview Deep learning is the subfield of machine learning which is used to perform complex tasks such as speech recognition, text classification, etc. A deep learning model consists of activation function, input, output, hidden layers, loss function, etc.

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Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Overview Keras is a Python library including an API for working with neural networks and deep learning frameworks. Keras includes Python-based methods and components for working with various Deep Learning applications. source: keras.io

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Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction Everything around us from biology, stocks, physics, or even common life scenarios can be mathematically modelled using Differential equations. The post Ordinary Differential Equations Made Easy with Deep Learning appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon In this article, we will be learning about how to apply k-fold cross-validation to a deep learning image classification model. The post How to Apply K-Fold Averaging on Deep Learning Classifier appeared first on Analytics Vidhya.

Deep Learning 366

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Analytics Vidhya

JUNE 2, 2022

This article was published as a part of the Data Science Blogathon. In this article, we will see how to set up Neural Networks, Artificial Neural Networks, and Deep Neural Networks, and also how to design the model, how to train […]. Introduction A Neural Network is analogous to the connections of neurons in our brain.

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Analytics Vidhya

MARCH 16, 2022

This article was published as a part of the Data Science Blogathon. A Deep Belief Network (DBN) is a sophisticated generative model that employs a deep architecture. In this article, we are going to learn all about it.

Deep Learning 376

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Analytics Vidhya

MAY 15, 2022

This article was published as a part of the Data Science Blogathon Introduction- Hyperparameters in a neural network A deep neural network consists of multiple layers: an input layer, one or multiple hidden layers, and an output layer. The post Impact of Hyperparameters on a Deep Learning Model appeared first on Analytics Vidhya.

Deep Learning 271

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Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Overview Though it is believed that tech enthusiasts are passing through the golden age of Artificial Intelligence, engineers and scientists still need to explore miles while progressing on their journey to Deep Learning projects.

Deep Learning 357

Deep Learning Data Science Publishing Modeling 357

Analytics Vidhya

APRIL 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. The post Face detection using the Caffe model appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 3, 2022

This article was published as a part of the Data Science Blogathon. The post COVID-19 Safety Protocol Tracker Using Deep Learning appeared first on Analytics Vidhya. The post COVID-19 Safety Protocol Tracker Using Deep Learning appeared first on Analytics Vidhya. Life is slowly […].

Deep Learning 357

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Analytics Vidhya

AUGUST 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this blog, we’ll be discussing Ensemble Stacking through theory. The post Ensemble Stacking for Machine Learning and Deep Learning appeared first on Analytics Vidhya.

Deep Learning 364

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Analytics Vidhya

SEPTEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Introduction Trax is a full-featured deep learning library with a focus on clean code and fast computation. In syntax, it is generally similar to Keras, and a Trax model can be converted to a Keras model. appeared first on Analytics Vidhya.

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DECEMBER 23, 2021

This article was published as a part of the Data Science Blogathon Optimization Optimization provides a way to minimize the loss function. Optimization aims to reduce training errors, and Deep Learning Optimization is concerned with finding a suitable model. In this article, we will […].

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Analytics Vidhya

SEPTEMBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.

Modeling 381

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Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to compare four different deep learning and. The post Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models appeared first on Analytics Vidhya.

Machine Learning 393

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Analytics Vidhya

MARCH 7, 2022

This article was published as a part of the Data Science Blogathon. The feed-forward model is the basic type of […]. The post Basic Introduction to Feed-Forward Network in Deep Learning appeared first on Analytics Vidhya.

Deep Learning 270

Deep Learning Data Science Publishing Modeling 270

Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today’s systems.

Deep Learning 270

Deep Learning Machine Learning Data Science Publishing 270

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

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Analytics Vidhya

JUNE 14, 2022

This article was published as a part of the Data Science Blogathon. Background on Flower Classification Model Deep learning models, especially CNN (Convolutional Neural Networks), are implemented to classify different objects with the help of labeled images. For example, a […].

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Analytics Vidhya

NOVEMBER 17, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. Moreover, the need for running deep learning models on […].

Deep Learning 390

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Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? The post An End-to-End Guide to Model Explainability appeared first on Analytics Vidhya.

Modeling 396

Modeling Machine Learning Data Science Publishing 396

Analytics Vidhya

SEPTEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction Deep learning has evolved a lot in recent years and we all are excited to build deeper architecture networks to gain more accuracies for our models. Going deep may […]. Going deep may […].

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Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction Building a cool machine learning project is one thing, and another when you need other people to see it too. The post Model Deployment -Deploy a Keras Model as a Python Web Application appeared first on Analytics Vidhya.

Modeling 358

Modeling Machine Learning Data Science Publishing 358

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […].

Machine Learning 399

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