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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
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
Introduction How do we build interpretable machine learning models? Or, in other words, how do we build trust in the models we design? The post DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar appeared first on Analytics Vidhya. Podcast data science podcast DataHack Radio machine learning MORE
What is Assisted Predictive Modeling? Assisted Predictive Modeling is a great way to provide support for your users and your organization. Anything that can help your business users to understand, interpret and analyze data is a help! 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
Since there is no single prescribed method of calculating credit loss under CECL, a variety of models have thus far emerged in the industry to address the requirement, each with its own advantages and downsides. Some of the models that have emerged include: Discounted cash flow analysis: In one of the most widely used models in current practice, the discounted cash flows are calculated using the present value of expected future cash flows discounted at the loan’s effective interest rate. MORE
What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? This Domino Data Science Field Note provides some distilled insights about TCAV, an interpretability method that allows researchers to understand and quantitatively measure the high-level concepts their neural network models are using for prediction, “even if the concept was not part of the training” ( Kim Slide 33 ). 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
There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them. Predictive Analytics Techniques That Are Easy Enough for Business Users! 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
With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Understanding the typical use cases for business process modeling is the first step. 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
Just Simple, Assisted Predictive Modeling for Every Business User! And, with Assisted Predictive Modeling , you can make these tasks even easier. Contact Us to find out how Assisted Predictive Modeling can help your business succeed. No Guesswork! 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
Although data modeling has been around for over 30 years, it ranks among the top areas from which database application problems arise. Today’s data modeling […]. MORE
Conversation Starters Smarten Advanced Data Discovery Assisted Predictive Modeling Plug n’ Play Predictive Analysis Predictive Analysis Predictive Analysis Software Predictive Analysis Tools Predictive Analytics Software Predictive Analytics Tool Predictive Modeling MORE
Predictive Modeling allows users to test theories and hypotheses and develop the best strategy. Smarten Advanced Data Discovery Advanced Analytics Natural Language Processing Predictive Analysis Tools Predictive Analytics Predictive 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
In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood. MORE
By showing how the model works, showing how model outcomes align with the desired business outcomes, they build trust, and improve the odds of success. I would add one new one – decision modeling. Decision modeling is an analysis technique that allows you to capture the structure of a decision-making approach. For any repeatable decision – a decision made more than once following a defined approach – a decision model can be defined. Decision Modeling DMN MORE
Model packaging: companies are using MLflow to incorporate custom logic and dependencies as part of a model’s package abstraction before deploying it to their production environment (example: a recommendation system might be programmed to not display certain images to minors). MORE
Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges. 2019 Aug News Deep Learning Deployment GPU Inference NVIDIA 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
This is a video of a presentation which outlines how a predictive analytics model can be set up for the sales department of a consumer product company. MORE
Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. I've developed the Digital Marketing & Measurement Model as a simple, structured, five step process to infuse this much needed thinking. MORE
So, you have successfully trained a machine learning model after choosing the best algorithm and high-quality training data. Time to celebrate, right? Not quite! Partner Blog MORE
than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect. MORE
An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. The trinity of modeling errors. MORE
How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Explore Assisted Predictive Modeling and find out how it can benefit your organization. MORE
And as if that was not enough, :), I'll close the post with my thoughts on digital marketing attribution models. Almost all current, hot and heavy, literature on the topic of attribution modeling does not cover MCA-O2S. Multi-Channel Attribution Models. Media Mix Models. 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
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
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
Create Citizen Data Scientists with Assisted Predictive Modeling! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations). 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
During a five-week IBM training program, I learned a few things about how to sell data science models that I’d like to share it with you. The ability to sell your model is as crucial as the aforementioned skills. Quick Tips for Selling Your Data Science Model. 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
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
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!
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
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.
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
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.
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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
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
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.
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
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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.
Decision Management Solutions
AUGUST 13, 2019
By showing how the model works, showing how model outcomes align with the desired business outcomes, they build trust, and improve the odds of success. I would add one new one – decision modeling. Decision modeling is an analysis technique that allows you to capture the structure of a decision-making approach. For any repeatable decision – a decision made more than once following a defined approach – a decision model can be defined. Decision Modeling DMN
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.
O'Reilly on Data
APRIL 2, 2019
Model packaging: companies are using MLflow to incorporate custom logic and dependencies as part of a model’s package abstraction before deploying it to their production environment (example: a recommendation system might be programmed to not display certain images to minors).
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.
TDAN
APRIL 2, 2019
Although data modeling has been around for over 30 years, it ranks among the top areas from which database application problems arise. Today’s data modeling […].
KDnuggets
AUGUST 1, 2019
Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges. 2019 Aug News Deep Learning Deployment GPU Inference NVIDIA
Smarten
JULY 23, 2019
Predictive Modeling allows users to test theories and hypotheses and develop the best strategy. Smarten Advanced Data Discovery Advanced Analytics Natural Language Processing Predictive Analysis Tools Predictive Analytics Predictive Modeling
The Data School
MAY 8, 2019
This is a quick introduction to using DBT and Bigquery to model data
DataRobot
MAY 7, 2019
Model interpretability is about ensuring humans can easily understand the models and how decisions are made, because trust in AI can ultimately only be achieved when people can align AI behavior with their organization’s business rules, goals, and values.
Smarten
JULY 9, 2018
Create Citizen Data Scientists with Assisted Predictive Modeling! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations).
Perficient Data & Analytics
AUGUST 1, 2018
Since there is no single prescribed method of calculating credit loss under CECL, a variety of models have thus far emerged in the industry to address the requirement, each with its own advantages and downsides. Some of the models that have emerged include: Discounted cash flow analysis: In one of the most widely used models in current practice, the discounted cash flows are calculated using the present value of expected future cash flows discounted at the loan’s effective interest rate.
O'Reilly on Data
JANUARY 22, 2019
An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. The trinity of modeling errors.
Smarten
JANUARY 15, 2019
How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Explore Assisted Predictive Modeling and find out how it can benefit your organization.
Occam's Razor
AUGUST 12, 2013
than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect.
Smarten
MARCH 31, 2019
There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them. Predictive Analytics Techniques That Are Easy Enough for Business Users!
Analytics Vidhya
MARCH 19, 2019
Introduction How do we build interpretable machine learning models? Or, in other words, how do we build trust in the models we design? The post DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar appeared first on Analytics Vidhya. Podcast data science podcast DataHack Radio machine learning
erwin
MARCH 21, 2019
With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Understanding the typical use cases for business process modeling is the first step.
Perficient Data & Analytics
AUGUST 21, 2018
During a five-week IBM training program, I learned a few things about how to sell data science models that I’d like to share it with you. The ability to sell your model is as crucial as the aforementioned skills. Quick Tips for Selling Your Data Science Model.
DataRobot
MAY 2, 2019
So, you have successfully trained a machine learning model after choosing the best algorithm and high-quality training data. Time to celebrate, right? Not quite! Partner Blog
Domino Data Lab
JANUARY 20, 2019
What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? This Domino Data Science Field Note provides some distilled insights about TCAV, an interpretability method that allows researchers to understand and quantitatively measure the high-level concepts their neural network models are using for prediction, “even if the concept was not part of the training” ( Kim Slide 33 ).
Jen Underwood
JANUARY 27, 2019
In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood.
Smarten
SEPTEMBER 14, 2018
Just Simple, Assisted Predictive Modeling for Every Business User! And, with Assisted Predictive Modeling , you can make these tasks even easier. Contact Us to find out how Assisted Predictive Modeling can help your business succeed. No Guesswork!
Occam's Razor
SEPTEMBER 15, 2011
Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. I've developed the Digital Marketing & Measurement Model as a simple, structured, five step process to infuse this much needed thinking.
Smarten
MARCH 13, 2018
Conversation Starters Smarten Advanced Data Discovery Assisted Predictive Modeling Plug n’ Play Predictive Analysis Predictive Analysis Predictive Analysis Software Predictive Analysis Tools Predictive Analytics Software Predictive Analytics Tool Predictive Modeling
Occam's Razor
APRIL 2, 2012
And as if that was not enough, :), I'll close the post with my thoughts on digital marketing attribution models. Almost all current, hot and heavy, literature on the topic of attribution modeling does not cover MCA-O2S. Multi-Channel Attribution Models. Media Mix Models.
Smarten
NOVEMBER 6, 2018
This is a video of a presentation which outlines how a predictive analytics model can be set up for the sales department of a consumer product company.
Smarten
DECEMBER 4, 2017
What is Assisted Predictive Modeling? Assisted Predictive Modeling is a great way to provide support for your users and your organization. Anything that can help your business users to understand, interpret and analyze data is a help!
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