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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. MORE
What is business process modeling (BPM)? But a theoretical understanding of business process modeling will only get you so far. The following use cases demonstrate the benefits of business process modeling in real life. Business Process Modeling Use Cases. MORE
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. MORE
This post describes developing a web application for a machine learning model and deploying it so that it can be accessed by anyone. The steps involved are as follows: Creating a simple model that can be deployed to the web, where users can input variables to get predictions. MORE
Many recent machine learning challenges winners are predictive model ensembles. Pros of Model Ensembles. We should choose the best model from a collection of choices. Tweaking makes models fit better. With a bagging approach, each model should be tuned to overfit. MORE
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. MORE
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. MORE
They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models. Continue reading Why it’s hard to design fair machine learning models MORE
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. MORE
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. MORE
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 MORE
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 MORE
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. MORE
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 MORE
One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down. Big Data is the Key to Stronger Team Extension Models. Team Extension Model. MORE
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 MORE
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? MORE
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. MORE
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. MORE
Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya. MORE
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 MORE
Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? MORE
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. MORE
Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya. MORE
Strong internal business process modeling and management helps data-driven organizations compete and lead. The Value of Internal Business Process Modeling. Benefits of Internal Business Process Modeling and Management. MORE
The two main takeaways from this paper: firstly, a sharpening of my understanding of the difference between explainability and interpretability, and why the former may be problematic; and secondly some great pointers to techniques for creating truly interpretable models. 2019 Nov Opinions Interpretability Machine Learning Modeling MORE
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. MORE
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. MORE
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. MORE
Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The post Is Class Sensitivity Model Dependent? MORE
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! MORE
When we create our machine learning models, a common task that falls on us is how to tune them. 2019 Sep Tutorials, Overviews Automated Machine Learning Hyperparameter Machine Learning ModelingSo that brings us to the quintessential question: Can we automate this process? MORE
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. MORE
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 MORE
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. MORE
The post Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model appeared first on Analytics Vidhya. Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification. MORE
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. MORE
Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya. MORE
In this post, we seek to understand why topic modeling is important and how it helps us as data scientists. 2019 Nov Tutorials, Overviews NLP Topic Modeling MORE
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. MORE
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. MORE
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? MORE
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. MORE
Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya. MORE
Modeling Related Topics 
O'Reilly on Data
JUNE 19, 2019
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.
Analytics Vidhya
OCTOBER 30, 2019
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
OCTOBER 22, 2019
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.
Analytics Vidhya
AUGUST 7, 2019
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!
Analytics Vidhya
OCTOBER 15, 2019
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
Analytics Vidhya
OCTOBER 6, 2019
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.
Analytics Vidhya
AUGUST 5, 2019
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.
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O'Reilly on Data
MARCH 20, 2019
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.
Analytics Vidhya
JULY 14, 2019
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
erwin
JANUARY 9, 2020
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.
TDAN
SEPTEMBER 17, 2019
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?
erwin
JANUARY 24, 2020
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.
Teradata
NOVEMBER 11, 2019
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
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Analytics Vidhya
JANUARY 27, 2020
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.
Analytics Vidhya
FEBRUARY 13, 2020
Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The post Is Class Sensitivity Model Dependent?
Analytics Vidhya
AUGUST 25, 2019
Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models?
Analytics Vidhya
MARCH 17, 2019
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.
erwin
JANUARY 17, 2020
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.
KDnuggets
DECEMBER 16, 2019
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.
Domino Data Lab
OCTOBER 16, 2019
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.
KDnuggets
OCTOBER 14, 2019
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
Domino Data Lab
NOVEMBER 14, 2019
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.
Analytics Vidhya
JUNE 18, 2019
Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.
Simply Statistics
APRIL 28, 2019
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.
erwin
JULY 11, 2019
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.
Analytics Vidhya
JUNE 11, 2019
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
erwin
MARCH 28, 2019
What is business process modeling (BPM)? But a theoretical understanding of business process modeling will only get you so far. The following use cases demonstrate the benefits of business process modeling in real life. Business Process Modeling Use Cases.
Analytics Vidhya
APRIL 14, 2019
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
Analytics Vidhya
SEPTEMBER 30, 2019
Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 11, 2019
Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 2, 2019
The post Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model appeared first on Analytics Vidhya. Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification.
KDnuggets
SEPTEMBER 20, 2019
When we create our machine learning models, a common task that falls on us is how to tune them. 2019 Sep Tutorials, Overviews Automated Machine Learning Hyperparameter Machine Learning ModelingSo that brings us to the quintessential question: Can we automate this process?
erwin
JUNE 27, 2019
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.
KDnuggets
AUGUST 14, 2019
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.
Analytics Vidhya
NOVEMBER 6, 2019
Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 12, 2019
In this post, we seek to understand why topic modeling is important and how it helps us as data scientists. 2019 Nov Tutorials, Overviews NLP Topic Modeling
O'Reilly on Data
SEPTEMBER 27, 2018
They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models. Continue reading Why it’s hard to design fair machine learning models
DataFloq
JUNE 11, 2019
This post describes developing a web application for a machine learning model and deploying it so that it can be accessed by anyone. The steps involved are as follows: Creating a simple model that can be deployed to the web, where users can input variables to get predictions.
KDnuggets
NOVEMBER 20, 2019
The two main takeaways from this paper: firstly, a sharpening of my understanding of the difference between explainability and interpretability, and why the former may be problematic; and secondly some great pointers to techniques for creating truly interpretable models. 2019 Nov Opinions Interpretability Machine Learning Modeling
erwin
SEPTEMBER 12, 2019
Strong internal business process modeling and management helps data-driven organizations compete and lead. The Value of Internal Business Process Modeling. Benefits of Internal Business Process Modeling and Management.
Smart Data Collective
NOVEMBER 24, 2019
One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down. Big Data is the Key to Stronger Team Extension Models. Team Extension Model.
erwin
FEBRUARY 20, 2020
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.
Perficient Data & Analytics
NOVEMBER 7, 2019
Many recent machine learning challenges winners are predictive model ensembles. Pros of Model Ensembles. We should choose the best model from a collection of choices. Tweaking makes models fit better. With a bagging approach, each model should be tuned to overfit.
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