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Supervised Topic Models

Analytics Vidhya

Introduction Topic models, an essential part of Natural Language Processing (NLP) workflows, can be used in multiple and diverse fields. There are two main problems with topic models: finding topics that can be used to predict an outcome and making it easier to understand […].

Modeling 217
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Learning Time Series Analysis & Modern Statistical Models

Analytics Vidhya

Introduction Statistical models are significant for understanding and predicting complex data. A viable area for statistical modeling is time-series analysis. You can see patterns and relationships and make accurate predictions about future values.

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Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction According to Haines and Crounch, mathematical modelling is a process. The post Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model appeared first on Analytics Vidhya.

Modeling 283
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Building Language Models in NLP

Analytics Vidhya

Introduction A language model in NLP is a probabilistic statistical model that determines the probability of a given sequence of words occurring in a sentence based on the previous words. The post Building Language Models in NLP appeared first on Analytics Vidhya.

Modeling 268
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Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

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Analyzing and Comparing Deep Learning Models

Analytics Vidhya

The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya. Deep Learning Intermediate Machine Learning blogathon CNN cnn model deep learning RNNThis article was published as a part of the Data Science Blogathon.

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Machine Learning Model Evaluation

Analytics Vidhya

The post Machine Learning Model Evaluation appeared first on Analytics Vidhya. Beginner Machine Learning Python Regression Structured Data Supervised blogathon Model evaluationArticleVideo Book What is Machine Learning?

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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya. Artificial Intelligence Business Analytics Intermediate Machine Learning advanced machine learning AI AI components credit related models Explainable AI

Modeling 255
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What to Do After Deploying Your Model to Production?

Analytics Vidhya

Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! The post What to Do After Deploying Your Model to Production? This article was published as a part of the Data Science Blogathon.

Modeling 246
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Machine Learning Model – Serverless Deployment

Analytics Vidhya

Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model.

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Power of Latent Diffusion Models: Revolutionizing Image Creation

Analytics Vidhya

The post Power of Latent Diffusion Models: Revolutionizing Image Creation appeared first on Analytics Vidhya. Artificial Intelligence Image Image Analysis Intermediate AI blogathon diffusion model image analysis latent diffusion

Modeling 191
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Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.

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c Part 3: Model Deployment and Model Monitoring

Analytics Vidhya

In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering. The post c Part 3: Model Deployment and Model Monitoring appeared first on Analytics Vidhya.

Modeling 208
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Face detection using the Caffe model

Analytics Vidhya

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. This article was published as a part of the Data Science Blogathon.

Modeling 261
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Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. The research shows how important a semantic model can be to the success of data and analytics processes.

Modeling 130
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Shipping your Machine Learning Models With Dockers

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.

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ALBERT Model for Self-Supervised Learning

Analytics Vidhya

Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT. The post ALBERT Model for Self-Supervised Learning appeared first on Analytics Vidhya.

Modeling 193
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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Solving complex business problems requires optimization modeling techniques and data to compare scenarios and make the best decisions. With AIMMS you can rapidly build an optimization app on top of your data and deploy it to the end-user in just a few clicks.

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Image Classification Model trained using Google Colab

Analytics Vidhya

The post Image Classification Model trained using Google Colab appeared first on Analytics Vidhya. Beginner Computer Vision Deep Learning Image Analysis Python 3D-CNN Model image classification. This article was published as a part of the Data Science Blogathon.

Modeling 241
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Machine Learning Models Comparative Analysis

Analytics Vidhya

The post Machine Learning Models Comparative Analysis appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction The phrase “machine learning” was invented by Arthur Samuel at IBM.

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Training and Inference of Language Models using Embedding Recycling

Analytics Vidhya

Introduction Training and inference with large neural models are computationally expensive and time-consuming. While new tasks and models emerge so often for many application domains, the underlying documents being modeled stay mostly unaltered.

Modeling 223
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Topic modeling With Naive Bayes Classifier

Analytics Vidhya

The post Topic modeling With Naive Bayes Classifier appeared first on Analytics Vidhya. Beginner Libraries NLP Python Text Topic Modeling blogathon naive bayes classifier python topic modeling

Modeling 250
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Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

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How to Make an Image Classification Model Using Deep Learning?

Analytics Vidhya

Various robust AI Models have been made that perform far better than the human brain, like deepfake generation, image classification, text classification, etc. The post How to Make an Image Classification Model Using Deep Learning?

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Machine Learning Model Deployment using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Streamlit If you are someone who has built ML models for real-time predictions and wondering how to deploy models in the form of web applications, to increase their accessibility.

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Improving the Performance of Multi-lingual Translation Models

Analytics Vidhya

The post Improving the Performance of Multi-lingual Translation Models appeared first on Analytics Vidhya. Beginner Machine Learning Model Deployment blogathon language models machine learning

Modeling 201
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A brief introduction to Multilevel Modelling

Analytics Vidhya

The post A brief introduction to Multilevel Modelling appeared first on Analytics Vidhya. Beginner Linear Regression Machine Learning Maths Statistics blogathon Hypothesis Testing multilevel modellingThis article was published as a part of the Data Science Blogathon.

Modeling 216
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New Research: The State of Supply Chain Network Design in 2022

This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice.

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Different Types of Regression Models

Analytics Vidhya

It is based on data modelling and entails determining the best fit line that passes through all data points with the shortest distance possible […]. The post Different Types of Regression Models appeared first on Analytics Vidhya.

Modeling 205
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Tesla raises price of Model Y, Model 3 variants

DataFloq

(Reuters) - Tesla Inc has increased the price of its Model 3 Long Range and Standard Range Plus and Model Y Long Range by $500, the electric-car maker’s website showed on Friday. Tesla delivered 182,780 Model 3/Ys in the first quarter, up 13% from the preceding quarter.

Modeling 236
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Streamlit – Quickly turn your ML models into Web apps

Analytics Vidhya

After you create your Machine Learning model for a specific problem, usually the next step is to create a. The post Streamlit – Quickly turn your ML models into Web apps appeared first on Analytics Vidhya. ArticleVideo Book What is Streamlit?

Modeling 281
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Deploying a Keras Flower Classification Model

Analytics Vidhya

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. The post Deploying a Keras Flower Classification Model appeared first on Analytics Vidhya.

Modeling 165
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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. This report highlights some of the most impactful benefits of MLOps tools.

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Minerva – Google’s Language Model for Quantitative Reasoning

Analytics Vidhya

The model for natural language processing is called Minerva. The post Minerva – Google’s Language Model for Quantitative Reasoning appeared first on Analytics Vidhya. Beginner Machine Learning Maths blogathon Google language model minerva quantitative reasoning STEM

Modeling 257
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Calibration of Machine Learning Models

Analytics Vidhya

The AI Model predicting the expected weather predicts a 40% chance of rain today, a 50% chance of Wednesday, and a […]. The post Calibration of Machine Learning Models appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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What are Schemas in Data Warehouse Modeling?

Analytics Vidhya

The post What are Schemas in Data Warehouse Modeling? Data Engineering Data Warehouse Database Intermediate Python blogathon data warehouse data warehouse modeling Schema Snowflake Schema Star SchemaThis article was published as a part of the Data Science Blogathon.

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Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya. Advanced Cloud Computing Data Science Machine Learning Model Deployment Project blogathon brython machine learning Model deployment

Modeling 285
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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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Global Model Interpretability Techniques for Black Box Models

Analytics Vidhya

Introduction There is no mathematical equation for model interpretability. The post Global Model Interpretability Techniques for Black Box Models appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Modeling 239
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The Easiest Way To Deploy Machine Learning Models: PyWebIO

Analytics Vidhya

Creating a machine learning model is a wholesome process involving. The post The Easiest Way To Deploy Machine Learning Models: PyWebIO appeared first on Analytics Vidhya. Advanced Data Engineering Model Deployment blogathon Model deployment PyWebIO

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NoSQL Data Modeling Technique

Analytics Vidhya

However, deciding which data modelling technique best suits your needs is complex. Fortunately, there is a data modelling technique for every use case. […]. The post NoSQL Data Modeling Technique appeared first on Analytics Vidhya.

Modeling 179
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Improving your Deep Learning model using Model Checkpointing- Part 1

Analytics Vidhya

The post Improving your Deep Learning model using Model Checkpointing- Part 1 appeared first on Analytics Vidhya. Advanced Deep Learning Videos Model Checkpointing

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Build Trustworthy AI With MLOps

Machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Discover the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.