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!)

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 library

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TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

Analytics Vidhya

Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving. The post TensorFlow Serving: Deploying Deep Learning Models Just Got Easier!

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? This question we’re sure most of you. appeared first on Analytics Vidhya.

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.

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. 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?

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. Model development.

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.

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.

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!

Build your Own Object Detection Model using TensorFlow API

Analytics Vidhya

The post Build your Own Object Detection Model using TensorFlow API appeared first on Analytics Vidhya. The World of Object Detection I love working in the deep learning space. It is, quite frankly, a vast field with a plethora of.

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.

Proposals for model vulnerability and security

O'Reilly on Data

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks.

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

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

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

5 Ways Data Modeling Is Critical to Data Governance

erwin

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. erwin Data Modeler: Where the Magic Happens.

Conceptual Modeling Requires Conceptual and Critical Thinking

TDAN

I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling?

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 Sense

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.

Build Your First Text Classification model using PyTorch

Analytics Vidhya

The post Build Your First Text Classification model using PyTorch appeared first on Analytics Vidhya. Overview Learn how to perform text classification using PyTorch Understand the key points involved while solving text classification Learn to use Pack Padding feature.

Build your own Vehicle Detection Model using OpenCV and Python

Analytics Vidhya

The post Build your own Vehicle Detection Model using OpenCV and Python appeared first on Analytics Vidhya. Overview Excited by the idea of smart cities? You’ll love this tutorial on building your own vehicle detection system We’ll first understand how to.

What are Generative Models and GANs? The Magic of Computer Vision

Analytics Vidhya

Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce you to the world. The post What are Generative Models and GANs?

What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. In the modern context, data modeling is a function of data governance.

Rich Model, Poor Model

Teradata

An integrated data foundation allows data science models to be more accurate, actionable and engage more customers. Find out how your model can positively impact your bottom line

Decision Boundary for a Series of Machine Learning Models

KDnuggets

2020 Mar Tutorials, Overviews Decision Boundaries Machine Learning Modeling R

Using Small Datasets to Build Models

DataRobot

With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. The world is going through extremely turbulent times.

FREE Online Decision Requirements Modeling Training

Decision Management Solutions

You can learn a vital new skill – Decision Requirements Modeling – from the comfort of your home FOR FREE! We are going to take some of our popular online training materials and provide a FREE 2-hour introduction to modeling decision requirements. This session will focus on the most valuable feature of decision modeling, its power to accurate capture how business people want a decision to be made.

8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP)

Analytics Vidhya

The post 8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP) appeared first on Analytics Vidhya. Deep Learning NLP Python deep learning Natural language processing pretrained models pythonIntroduction Natural Language Processing (NLP) applications have become ubiquitous these days. I seem to stumble across websites and applications regularly that are leveraging NLP.

Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures

Analytics Vidhya

Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The post Is Class Sensitivity Model Dependent?

Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python

Analytics Vidhya

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models?

On Being Model-driven: Metrics and Monitoring

Domino Data Lab

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Machine learning models: running wild. The model produced an output.

Business Process Modeling Use Case: Disaster Recovery

erwin

Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their documentation. erwin’s Evolve software is integral to modeling process flow requirements, but what about the technology side of the equation? The erwin disaster recovery model answers these questions by capturing and displaying the relevant data. So what does an erwin disaster recovery model show?

Business Architecture and Process Modeling for Digital Transformation

erwin

At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. Business Architecture and Process Modeling.

Generative and Analytical Models for Data Analysis

Simply Statistics

Another, more informal, way that I like to think about these approaches is as the “biological” model and the “physician” model. Generative Model. This model is useful for understanding the “biological process”, i.e. the underlying mechanisms for how data analyses are created, sometimes referred to as “statistical thinking”. Analytical Model. In other words, there is no outcome on which we can “train our model” for data analysis.

Model Interpretability: The Conversation Continues

Domino Data Lab

Model interpretability continues to spark public discourse among industry. We have covered model interpretability previously, including a proposed definition of machine learning (ML) interpretability. While we offer a platform-as-a-service , where industry can use their choice of languages, tools, and infra to support model-driven workflows, we cover practical techniques and research in this blog to help industry make their own assessments. Model Interpretability with TCAV.

The Ultimate Guide to Model Retraining

KDnuggets

Once you have deployed your machine learning model into production, differences in real-world data will result in model drift. This guide defines model drift and how to identify it, and includes approaches to enable model training.

Build a Machine Learning Model in your Browser using TensorFlow.js and Python

Analytics Vidhya

Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js

Choosing a Machine Learning Model

KDnuggets

Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications. 2019 Oct Opinions Interpretability Kaggle Machine Learning

Build your First Multi-Label Image Classification Model in Python

Analytics Vidhya

The post Build your First Multi-Label Image Classification Model in Python appeared first on Analytics Vidhya. Introduction Are you working with image data? There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image. Computer Vision Deep Learning Python deep learning Image Classification multi-label classification python

Enterprise Architecture and Business Process Modeling Tools Have Evolved

erwin

Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. Regulatory Compliance Through Enterprise Architecture & Business Process Modeling Software. The Advantages of Enterprise Architecture & Business Process Modeling from erwin.

Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development.

Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.