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.

Deploy an Image Classification Model Using Flask

Analytics Vidhya

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. Advanced Computer Vision Deep Learning Image Python Unstructured Data computer vision projects deep leanring deep learning in python Flask Model deployment pytorch

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Information Retrieval using word2vec based Vector Space Model

Analytics Vidhya

Overview Learn about Information Retrieval (IR), Vector Space Models (VSM), and Mean Average Precision (MAP) Create a project on Information Retrieval using word2vec based. The post Information Retrieval using word2vec based Vector Space Model appeared first on Analytics Vidhya.

How Machine Learning Models Fail to Deliver in Real-World Scenarios

Analytics Vidhya

The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya. Beginner Data Science Statistics Bayesian Statistics machine learning Machine Learning Models machine learning real world statistics

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

The Power of Azure ML and Power BI: Dataflows and Model Deployment

Analytics Vidhya

Overview Learn about the integration capabilities of Power BI with Azure Machine Learning (ML) Understand how to deploy machine learning models in a production. The post The Power of Azure ML and Power BI: Dataflows and Model Deployment appeared first on Analytics Vidhya.

How to Deploy Machine Learning Models using Flask (with Code!)

Analytics Vidhya

Overview Deploying your machine learning model is a key aspect of every ML project Learn how to use Flask to deploy a machine learning. The post How to Deploy Machine Learning Models using Flask (with Code!) Classification Data Engineering Data Mining Python Advanced Python machine learning model deployment Model deployment text classification Twitter API

Create your Own Image Classification Model using Python and Keras

Analytics Vidhya

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.

Can you Lie to your Deep Learning Model?

Analytics Vidhya

Can you fool your deep learning model? What does lying to your deep learning model even entail? The post Can you Lie to your Deep Learning Model? Deep Learning Intermediate Use Cases CNN CNN classes deep elarning models deep learning machine learning machine learning classes Machine Learning ModelsThis question we’re sure most of you. appeared first on Analytics Vidhya.

Top 6 Open Source Pretrained Models for Text Classification you should use

Analytics Vidhya

The post Top 6 Open Source Pretrained Models for Text Classification you should use appeared first on Analytics Vidhya. Classification Deep Learning Intermediate Listicle NLP Python Text Unstructured Data ERNIE Natural language processing NLP pretrained models pretrained models pretrained models text classification T5 text classification Transfomer Transfomer NLP XLNetIntroduction We are standing at the intersection of language and machines.

Complete R Tutorial To Build Probabilistic Graphical Models!

Analytics Vidhya

Introduction: Probabilistic Graphical Models (PGM) capture the complex relationships between random variables. The post Complete R Tutorial To Build Probabilistic Graphical Models! This article was published as a part of the Data Science Blogathon.

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

Regime Shift Models – A Fascinating Use Case of Time Series Modeling

Analytics Vidhya

The post Regime Shift Models – A Fascinating Use Case of Time Series Modeling appeared first on Analytics Vidhya. Python Time Series regime shift modeling regime shift models stock market prediction time series pythonThis article is written by Sonam Srivastava. She is one of the eminent speakers at DataHack Summit 2019, where she will be talking about.

Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds

Analytics Vidhya

Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya. Data Visualization Libraries Programming Python machine learning model pycaret pycaret library pycaret machine learning pycaret model pycaret python python Python libraryOverview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. The post Running Low on Time?

What are model governance and model operations?

O'Reilly on Data

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models. Finally, modeling tools are improving, and automation is beginning to allow new users to tackle problems that used to be the province of experts. Model development. Model governance.

How to build a Face Mask Detector using RetinaNet Model!

Analytics Vidhya

The post How to build a Face Mask Detector using RetinaNet Model! Introduction Object detection is a tremendously important field in computer vision needed for autonomous driving, video surveillance, medical applications, and many other fields.

HOW TO CHOOSE EVALUATION METRICS FOR CLASSIFICATION MODEL

Analytics Vidhya

So you have successfully built your classification model. The post HOW TO CHOOSE EVALUATION METRICS FOR CLASSIFICATION MODEL appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. INTRODUCTION Yay!!

Humility in AI: Building Trustworthy and Ethical AI Systems

AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. In this ebook, we explore the concept of humility in AI systems and how it can be applied to existing solutions to ensure their trustworthiness, ethicality, and reliability in a fast-changing world.

Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch

Analytics Vidhya

Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression. The post Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch appeared first on Analytics Vidhya. Business Analytics Excel Intermediate Linear Regression Regression excel. linear regression linear regression in excel regression regression in excel

Boxing and Unboxing of Statistical Models with Gaussian Learning

Analytics Vidhya

The post Boxing and Unboxing of Statistical Models with Gaussian Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Values offer Focus amidst the Chaos” – Glenn C. Stewart Introduction Joseph.

A Simple Introduction to Sequence to Sequence Models

Analytics Vidhya

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.

Build Text Categorization Model with Spark NLP

Analytics Vidhya

The post Build Text Categorization Model with Spark NLP appeared first on Analytics Vidhya. Overview Setting up John Snow labs Spark-NLP on AWS EMR and using the library to perform a simple text categorization of BBC articles. Introduction. Advanced NLP Project Python Text Unstructured Data AWS Natural language processing Text analytics unstructured data

Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management can be, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

A Comprehensive Guide to Build your own Language Model in Python!

Analytics Vidhya

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! NLP Python build language model language model Natural language processing NLP python python

Build Better and Accurate Clusters with Gaussian Mixture Models

Analytics Vidhya

Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also. The post Build Better and Accurate Clusters with Gaussian Mixture Models appeared first on Analytics Vidhya.

5 Tips On Achieving Business Model Innovation

BA Learnings

According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. So, what exactly is a business model and what should you know about innovating your business model?

Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring

Analytics Vidhya

Overview What are the next steps after you’ve deployed your machine learning model? The post Deployed your Machine Learning Model? Data Science deployment machine learning model deployment model monitoringPost-deployment monitoring is a crucial step in any machine learning project. Here’s What you Need to Know About Post-Production Monitoring appeared first on Analytics Vidhya.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Learn how to Build your own Speech-to-Text Model (using Python)

Analytics Vidhya

Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP. The post Learn how to Build your own Speech-to-Text Model (using Python) appeared first on Analytics Vidhya. NLP Python convert speech to text speech recognition speech recognition model Speech to text speech to text model

Business Model Canvas: 9 Building Blocks For Developing A Business Model

BA Learnings

The Business Model canvas is the lighter and more agile version of a business plan that can help businesses define what they are about. Business theorist Alexander Osterwalder and Yves Pigneur in 2004, introduced an approach known as the Business Model Canvas.

Feature Transformation and Scaling Techniques to Boost Your Model Performance

Analytics Vidhya

The post Feature Transformation and Scaling Techniques to Boost Your Model Performance appeared first on Analytics Vidhya.

The Top Six Benefits of Data Modeling – What Is Data Modeling?

erwin

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. Data modeling has been used for decades to help organizations define and categorize their data, establishing standards and rules so it can be consumed and then used by information systems. In this post: What Is a Data Model? Why Is Data Modeling Important?

How to Package and Price Embedded Analytics

struggle to integrate analytics into their products, business models, and pricing strategies in a way that meets a range of user. With this approach, you turn features off and on through visibility controls, conditional logic, and your application’s security model.

6 Python Libraries to Interpret Machine Learning Models and Build Trust

Analytics Vidhya

The Case for Building Trust in Machine Learning Models There are approximately 1.2 The post 6 Python Libraries to Interpret Machine Learning Models and Build Trust appeared first on Analytics Vidhya. Data Visualization Intermediate Libraries Listicle Machine Learning Python build trust in machine learning ELI5 interpret machine learning models LIME machine learning machine learning algorithms machine learning interpretability SHAP understand machine learning algorithms

Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique

Analytics Vidhya

The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Welcome to Pywedge – A Fast Guide to Preprocess and Build Baseline Models

Analytics Vidhya

The post Welcome to Pywedge – A Fast Guide to Preprocess and Build Baseline Models appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction The machine learning process involves various stages such as, Data Preparation.

How to Train an Image Classification Model in PyTorch and TensorFlow

Analytics Vidhya

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.

New Study: 2018 State of Embedded Analytics Report

The company was making a shift to a SaaS (Software as a Service) model— which requires adopting new ways of thinking, changing organizational models, constantly measuring, and. 2018 STATE OF. EMBEDDED. ANALYTICS. REPORT The Sixth Annual Review of Embedded.

Build your First Linear Regression Model in Qlik Sense

Analytics Vidhya

The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya. Business Intelligence Data Science linear regression linear regression qlik Predictive modeling python qilkview Qlik Qlik SenseOverview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to.

Measuring Models' Uncertainty: Conformal Prediction

Dataiku

For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.

Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel

Analytics Vidhya

Overview Excel is the perfect fit for building your time series forecasting models We’ll discuss exponential smoothing models for time series forecasting, including the. Learn Exponential Smoothing Models for Time Series Forecasting in Excel appeared first on Analytics Vidhya.

Types of Data Models: Conceptual, Logical & Physical

erwin

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts. Logical Data Models: Entity types, data attributes and relationships between entities. Physical Data Models: The internal schema database design. Data modeling best practices for data-driven organizations. The same mode of thinking can and should be applied to data models.

A List Of Tools For Designing Your Business Model Canvas

BA Learnings

Are you looking to create a business model canvas? There are a number of tools you can employ to brainstorm the details of your business model and present it in a professional format. As with most artefacts these days, you don’t need to start from scratch.