Analytics Vidhya

JULY 6, 2020

Overview Get an overview of PyTorch and Flask Learn to build an image classification model in PyTorch Learn how to deploy the model using. The post Deploy an Image Classification Model Using Flask appeared first on Analytics Vidhya.

Modeling 389

Modeling Analytics Deep Learning Unstructured Data 389

Analytics Vidhya

AUGUST 11, 2020

Overview Understand image augmentation Learn Image Augmentation using Keras ImageDataGenerator Introduction When working with deep learning models, I have often found myself in. The post Image Augmentation on the fly using Keras ImageDataGenerator! appeared first on Analytics Vidhya.

Deep Learning 368

Deep Learning Modeling Analytics Unstructured Data 368

Analytics Vidhya

AUGUST 31, 2020

Overview In this article, I would give you an overview of sequence to sequence models which became quite popular for different tasks like machine. The post A Simple Introduction to Sequence to Sequence Models appeared first on Analytics Vidhya.

Modeling 357

Modeling Analytics Unstructured Data Deep Learning 357

Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction One of my last articles was all about Convolutional Network, The post Developing an Image Classification Model Using CNN appeared first on Analytics Vidhya.

Modeling 296

Modeling Data Science Publishing Analytics 296

Analytics Vidhya

JULY 22, 2020

Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.

Modeling 400

Modeling Analytics Deep Learning Unstructured Data 400

Analytics Vidhya

OCTOBER 16, 2020

The post Create your Own Image Classification Model using Python and Keras appeared first on Analytics Vidhya. Introduction Have you ever stumbled upon a dataset or an image and wondered if you could create a system capable of differentiating or identifying.

Modeling 385

Modeling Analytics Unstructured Data Deep Learning 385

Analytics Vidhya

AUGUST 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will briefly discuss CNNs, a special variant. The post A Hands-on Guide to Build Your First Convolutional Neural Network Model appeared first on Analytics Vidhya.

Modeling 343

Modeling Data Science Publishing Analytics 343

Analytics Vidhya

MARCH 17, 2020

The post Top 6 Open Source Pretrained Models for Text Classification you should use appeared first on Analytics Vidhya. Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare?

Modeling 392

Modeling Analytics Unstructured Data Deep Learning 392

Analytics Vidhya

OCTOBER 27, 2020

In simple words, The post Virtual Reality for the Web: A-Frame(Creating 3D models from Images) appeared first on Analytics Vidhya. Introduction Virtual reality refers to a simulation generated by a computer which allows user interaction with the use of special headsets.

Modeling 284

Modeling Interactive Analytics Unstructured Data 284

Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya. Introduction The article covers the use of Generative Adversarial Networks (GAN), an.

Modeling 296

Modeling Data Science Publishing Analytics 296

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

CIO Business Intelligence

APRIL 27, 2022

This is no difference in the development of AI models, where initial results may lead teams down a new path that requires a rethinking of their AI infrastructure. “AI Models drift over time because the data that fuels them changes over time. AI is never one and done,” said Tony Paikeday, senior director of AI systems at NVIDIA.

Modeling 52

Modeling Advertising Unstructured Data Cost-Benefit 52

Analytics Vidhya

APRIL 26, 2024

In this article we’ll train Data-efficient GANs with Adaptive Discriminator Augmentation that addresses the challenge of limited training data. Adaptive Discriminator Augmentation dynamically adjusts data augmentation during GAN training, preventing discriminator overfitting and enhancing model generalization.

Modeling 299

Modeling Analytics Unstructured Data Deep Learning 299

Smart Data Collective

AUGUST 28, 2021

Usually, business or data analysts need to extract insights for reporting purposes, so data warehouses are more suitable for them. On the other hand, a data scientist may require access to unstructured data to detect patterns or build a deep learning model, which means that a data lake is a perfect fit for them.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. An Industry Redefining Itself.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

IBM Big Data Hub

DECEMBER 19, 2023

Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data.

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Analytics Vidhya

AUGUST 3, 2020

Overview Introduction to Natural Language Generation (NLG) and related things- Data Preparation Training Neural Language Models Build a Natural Language Generation System using PyTorch. The post Build a Natural Language Generation (NLG) System using PyTorch appeared first on Analytics Vidhya.

Modeling 306

Modeling Analytics Unstructured Data Deep Learning 306

Analytics Vidhya

AUGUST 13, 2020

Introduction The SimCLR paper explains how this framework benefits from larger models and larger batch sizes and can produce results comparable to those of. The post How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch appeared first on Analytics Vidhya.

Modeling 385

Modeling Analytics Unstructured Data Deep Learning 385

Analytics Vidhya

SEPTEMBER 7, 2020

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

Machine Learning 313

Machine Learning Modeling Analytics Unstructured Data 313

Analytics Vidhya

JUNE 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Yes, it’s true!! Now, object detection models can be done with. The post Simplest way to do Object Detection on custom datasets appeared first on Analytics Vidhya.

Data Science 284

Data Science Publishing Modeling Analytics 284

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 62

Deep Learning Machine Learning Unstructured Data Modeling 62

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Analytics Vidhya

JULY 22, 2020

Overview As the size of the NLP model increases into the hundreds of billions of parameters, so does the importance of being able to. The post MobileBERT: BERT for Resource-Limited Devices appeared first on Analytics Vidhya.

Modeling 276

Modeling Analytics Unstructured Data Deep Learning 276

Analytics Vidhya

JANUARY 20, 2021

ArticleVideos Overview Learning about the state of the art model that is Transformers. Understand how we can implement Transformers on the already seen image. The post Implementation of Attention Mechanism for Caption Generation on Transformers using TensorFlow appeared first on Analytics Vidhya.

Modeling 248

Modeling Analytics Unstructured Data Deep Learning 248

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction VGG- Network is a convolutional neural network model proposed by. The post Build VGG -Net from Scratch with Python! appeared first on Analytics Vidhya.

Data Science 186

Data Science Publishing Modeling Analytics 186

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. What Are Modeling Tools? Importance of Modeling Tools. Types of Modeling Tools.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

bridgei2i

OCTOBER 7, 2020

Importance of capturing market data for optimized pricing models. Underwriting essentially means evaluating the risk proposition of an insurance cover and determining how much an insurer should charge for the same by studying historical data and statistical models. if all the information is provided by client or not).

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. What Is Modeling?

Modeling 64

Modeling IT Risk Management Deep Learning 64

IBM Big Data Hub

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? That’s where the foundation model enters the picture.

Modeling 60

Modeling Cost-Benefit Data Lake Machine Learning 60

IBM Big Data Hub

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 83

Unstructured Data Deep Learning Cost-Benefit Modeling 83

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

DataRobot

DECEMBER 16, 2021

It is precisely because of the large volume and complexities of navigating unstructured data that DataRobot has focused on assisting our users to unlock insights from text. Use DataRobot’s intelligent AutoML in either supervised or unsupervised modes with your text data (and combine them with other types of data!)

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Experimentation Unstructured Data Deep Learning Modeling 98