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Please Reinvent the Wheel

An argument on why we should all try to reinvent the wheel.

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Please Reinvent the Wheel

An argument on why we should all try to reinvent the wheel.

Learn more >

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Please Reinvent the Wheel

An argument on why we should all try to reinvent the wheel.

User Question: Is MindsDB compatible with scikit-learn?

A user wants to know whether MindsDB's machine learning models are compatible with scikit-learn.

Bimodal Programming – Why Design Patterns Fail

MindsDB's senior machine learning engineer, George, explores why design patterns don't typically work.

User Question: Who is XAI for?

A user wants to know whether XAI is intended for both data scientists and non-technical users. Here's our take.

Using MindsDB in Amazon SageMaker

Learn how to use MindsDB’s packaged container and Amazon SageMaker SDK to train models and use them to host the endpoint on Amazon SageMaker with a few lines of code.

What's New: MindsDB March 2020 Product Updates

Take a look at what we've accomplished in the month of March.

What's New: MindsDB February 2020 Product Updates

Take a look at what we've been working on this month and read about our latest product features.

Data Scientists: Why are they so expensive to hire?

In 2018 the average salary for a junior level data scientist is $115,000 and those managing a team of 10–15 members can demand salaries as high as $350,000. Meanwhile, the median years of experience for a data scientist dropped from 9 years in 2014 to 6 years in 2015.

Contributing to an open source project: How to get started

Want to get involved in an open source project? Here are a few things to consider to help you get started.

MindsDB at PyCon SK 2019

Join MindsDB at PyCon SK in Bratislava from March 22–24. In its fourth year, PyCon SK is an annual conference for people who use and develop applications with the open-source programming language python.

How ML is helping organizations be smarter with their data

Learn how ML is helping organizations be smarter with their data.

Event Recap: MindsDB at PYConSK 2019

PyConSK 2019, the fourth annual conference for Python developers hosted by PyCon SK, was held on March 22–24 in Bratislava, SK. The MindsDB team attended. Here's a recap of the conference.

Trip Recap: MindsDB in Central Europe

The MindsDB team spent a week attending a conference and meetings in Central Europe. See the recap!

MindsDB: Call for Beta Testers

We're seeking beta testers to test our newest release of MindsDB, Sign up today.

Explainable AI: The Next Frontier in Human-Machine Harmony

A dive into Explainable AI (XAI). What it is? Why it is so important? Its origins and what’s next?

A Simple Comparison: Machine Learning vs. Artificial Intelligence vs. Deep Learning

As the co-founder of a machine learning startup, many people have asked me to explain the difference between Machine Learning, Artificial intelligence and Deep Learning. So, I thought it was about time I have a go at writing a sub-2-minute article on the topic. Here goes….

How Retailers & E-commerce Providers Can Use AI to Transform Their Businesses

Discover the ways that machine learning can help transform the retail and e-commerce industries.

Artificial Intelligence is Becoming a Powerful Weapon in the Fight Against Fraud

These days, it is not a matter of if, but when a company will be targeted by cybercriminals to carry out an illicit online activity which hurts both the consumer and merchant. AI can help protect both of these parties.

MindsDB to Host Webinar on Explainable AI: The Next Frontier in Human-Machine Harmony

Next Thursday November 21, 2019 at 11am PST / 2pm EST, MindsDB CTO, Jorge Torres, will host a webinar entitled ‘Explainable AI: The Next Frontier in Human-Machine Harmony,’ where he’ll explore new approaches to adding explainability to machine learning models.

User Question: Ensuring Observer Model Trustworthiness

MindsDB CTO, Jorge Torres, answers a user's questions question on how to ensure that the observer model is trustworthy in the soft XAI observer approach.

Using MindsDB for Risk Analysis

In this article, we take a look at how we run a dataset through MindsDB end-to-end using a “standard” data set called “German Credit”. The purpose of this data set is to predict whether someone’s credit class is either good or bad based on 20 attributes such as installment rate, job, purpose and credit history.

MindsDB Scout - An Overview

Let's run through a quick introduction to MindsDB’s most user-friendly product, MindsDB Scout, a graphical user interface that sits on top of MindsDB and the MindsDB server.

User Question: Calculating Feature Importance

MindsDB CTO, Jorge Torres, answers a user's questions question on how to calculate feature importance and represent a model's reasoning.

Neural Networks as Non-Leaky Mathematical Abstraction

MindsDB's senior machine learning engineer, George Hosu, discusses his hypothesis that machine learning provides for non-leaky mathematical abstractions.

User Question: Deploying Models and Predictions to an API with MindsDB

MindsDB CTO, Jorge Torres, answers a user's questions question about whether MindsDB has a way for him to deploy his models and predictions to an API that’ll be used by applications.

User Question: Requirements and Skills Needed to Use MindsDB

A user wants to know what skills and requirements they'd need to use MindsDB.

A Designer in the Machine Learning World?

MindsDB designer, Richie Ramball Fattori, discusses how he got into the machine learning world and how design fits into the ML world.

How to Get Involved in the MindsDB Community

Looking to get involved in the MindsDB community? This post provides you with several ways to get involved.

What's New: MindsDB January 2020 Product Updates

Explore the newest product features and updates from MindsDB.

Contributor Spotlight: Daouda Tandiang Djiba, Data Scientist

In our contributor spotlight series, we shine the light on our contributors—the people helping us move the needle on making explainable AI accessible to everyone.

If Van der Waals Was a Neural Network

MindsDB machine learning engineer, George Hosu, explores what would happen if Van der Waals was a neural network.

User Question: Best Way to Begin Learning AI

A user wants to know how they can get started with AI.

How to Integrate MindsDB with Amazon SageMaker

Learn how you can use MindsDB and SageMaker to train and deploy models within SageMaker, create endpoints and take advantage of automated machine learning with MindsDB.

Calling the MindsDB Endpoint on SageMaker using AWS Lambda and API Gateway

Learn how to expose the MindsDB endpoint as a REST API and use the HTTP client as Postman for testing the service.

User Question: Who will benefit most from XAI?

A user wants to know who'll benefit the most from Explainable AI. We share our perspective.

Please Reinvent the Wheel

An argument on why we should all try to reinvent the wheel.

User Question: Is MindsDB compatible with scikit-learn?

A user wants to know whether MindsDB's machine learning models are compatible with scikit-learn.

Bimodal Programming – Why Design Patterns Fail

MindsDB's senior machine learning engineer, George, explores why design patterns don't typically work.

User Question: Who is XAI for?

A user wants to know whether XAI is intended for both data scientists and non-technical users. Here's our take.

Using MindsDB in Amazon SageMaker

Learn how to use MindsDB’s packaged container and Amazon SageMaker SDK to train models and use them to host the endpoint on Amazon SageMaker with a few lines of code.

What's New: MindsDB March 2020 Product Updates

Take a look at what we've accomplished in the month of March.

What's New: MindsDB February 2020 Product Updates

Take a look at what we've been working on this month and read about our latest product features.

Data Scientists: Why are they so expensive to hire?

In 2018 the average salary for a junior level data scientist is $115,000 and those managing a team of 10–15 members can demand salaries as high as $350,000. Meanwhile, the median years of experience for a data scientist dropped from 9 years in 2014 to 6 years in 2015.

Contributing to an open source project: How to get started

Want to get involved in an open source project? Here are a few things to consider to help you get started.

MindsDB at PyCon SK 2019

Join MindsDB at PyCon SK in Bratislava from March 22–24. In its fourth year, PyCon SK is an annual conference for people who use and develop applications with the open-source programming language python.

How ML is helping organizations be smarter with their data

Learn how ML is helping organizations be smarter with their data.

Event Recap: MindsDB at PYConSK 2019

PyConSK 2019, the fourth annual conference for Python developers hosted by PyCon SK, was held on March 22–24 in Bratislava, SK. The MindsDB team attended. Here's a recap of the conference.

Trip Recap: MindsDB in Central Europe

The MindsDB team spent a week attending a conference and meetings in Central Europe. See the recap!

MindsDB: Call for Beta Testers

We're seeking beta testers to test our newest release of MindsDB, Sign up today.

Explainable AI: The Next Frontier in Human-Machine Harmony

A dive into Explainable AI (XAI). What it is? Why it is so important? Its origins and what’s next?

A Simple Comparison: Machine Learning vs. Artificial Intelligence vs. Deep Learning

As the co-founder of a machine learning startup, many people have asked me to explain the difference between Machine Learning, Artificial intelligence and Deep Learning. So, I thought it was about time I have a go at writing a sub-2-minute article on the topic. Here goes….

How Retailers & E-commerce Providers Can Use AI to Transform Their Businesses

Discover the ways that machine learning can help transform the retail and e-commerce industries.

Artificial Intelligence is Becoming a Powerful Weapon in the Fight Against Fraud

These days, it is not a matter of if, but when a company will be targeted by cybercriminals to carry out an illicit online activity which hurts both the consumer and merchant. AI can help protect both of these parties.

MindsDB to Host Webinar on Explainable AI: The Next Frontier in Human-Machine Harmony

Next Thursday November 21, 2019 at 11am PST / 2pm EST, MindsDB CTO, Jorge Torres, will host a webinar entitled ‘Explainable AI: The Next Frontier in Human-Machine Harmony,’ where he’ll explore new approaches to adding explainability to machine learning models.

User Question: Ensuring Observer Model Trustworthiness

MindsDB CTO, Jorge Torres, answers a user's questions question on how to ensure that the observer model is trustworthy in the soft XAI observer approach.

Using MindsDB for Risk Analysis

In this article, we take a look at how we run a dataset through MindsDB end-to-end using a “standard” data set called “German Credit”. The purpose of this data set is to predict whether someone’s credit class is either good or bad based on 20 attributes such as installment rate, job, purpose and credit history.

MindsDB Scout - An Overview

Let's run through a quick introduction to MindsDB’s most user-friendly product, MindsDB Scout, a graphical user interface that sits on top of MindsDB and the MindsDB server.

User Question: Calculating Feature Importance

MindsDB CTO, Jorge Torres, answers a user's questions question on how to calculate feature importance and represent a model's reasoning.

Neural Networks as Non-Leaky Mathematical Abstraction

MindsDB's senior machine learning engineer, George Hosu, discusses his hypothesis that machine learning provides for non-leaky mathematical abstractions.

User Question: Deploying Models and Predictions to an API with MindsDB

MindsDB CTO, Jorge Torres, answers a user's questions question about whether MindsDB has a way for him to deploy his models and predictions to an API that’ll be used by applications.

User Question: Requirements and Skills Needed to Use MindsDB

A user wants to know what skills and requirements they'd need to use MindsDB.

A Designer in the Machine Learning World?

MindsDB designer, Richie Ramball Fattori, discusses how he got into the machine learning world and how design fits into the ML world.

How to Get Involved in the MindsDB Community

Looking to get involved in the MindsDB community? This post provides you with several ways to get involved.

What's New: MindsDB January 2020 Product Updates

Explore the newest product features and updates from MindsDB.

Contributor Spotlight: Daouda Tandiang Djiba, Data Scientist

In our contributor spotlight series, we shine the light on our contributors—the people helping us move the needle on making explainable AI accessible to everyone.

If Van der Waals Was a Neural Network

MindsDB machine learning engineer, George Hosu, explores what would happen if Van der Waals was a neural network.

User Question: Best Way to Begin Learning AI

A user wants to know how they can get started with AI.

How to Integrate MindsDB with Amazon SageMaker

Learn how you can use MindsDB and SageMaker to train and deploy models within SageMaker, create endpoints and take advantage of automated machine learning with MindsDB.

Calling the MindsDB Endpoint on SageMaker using AWS Lambda and API Gateway

Learn how to expose the MindsDB endpoint as a REST API and use the HTTP client as Postman for testing the service.

User Question: Who will benefit most from XAI?

A user wants to know who'll benefit the most from Explainable AI. We share our perspective.

Bimodal Programming – Why Design Patterns Fail

MindsDB's senior machine learning engineer, George, explores why design patterns don't typically work.

User Question: Who is XAI for?

A user wants to know whether XAI is intended for both data scientists and non-technical users. Here's our take.

Data Scientists: Why are they so expensive to hire?

In 2018 the average salary for a junior level data scientist is $115,000 and those managing a team of 10–15 members can demand salaries as high as $350,000. Meanwhile, the median years of experience for a data scientist dropped from 9 years in 2014 to 6 years in 2015.

How ML is helping organizations be smarter with their data

Learn how ML is helping organizations be smarter with their data.

Explainable AI: The Next Frontier in Human-Machine Harmony

A dive into Explainable AI (XAI). What it is? Why it is so important? Its origins and what’s next?

A Simple Comparison: Machine Learning vs. Artificial Intelligence vs. Deep Learning

As the co-founder of a machine learning startup, many people have asked me to explain the difference between Machine Learning, Artificial intelligence and Deep Learning. So, I thought it was about time I have a go at writing a sub-2-minute article on the topic. Here goes….

How Retailers & E-commerce Providers Can Use AI to Transform Their Businesses

Discover the ways that machine learning can help transform the retail and e-commerce industries.

Artificial Intelligence is Becoming a Powerful Weapon in the Fight Against Fraud

These days, it is not a matter of if, but when a company will be targeted by cybercriminals to carry out an illicit online activity which hurts both the consumer and merchant. AI can help protect both of these parties.

User Question: Ensuring Observer Model Trustworthiness

MindsDB CTO, Jorge Torres, answers a user's questions question on how to ensure that the observer model is trustworthy in the soft XAI observer approach.

Using MindsDB for Risk Analysis

In this article, we take a look at how we run a dataset through MindsDB end-to-end using a “standard” data set called “German Credit”. The purpose of this data set is to predict whether someone’s credit class is either good or bad based on 20 attributes such as installment rate, job, purpose and credit history.

User Question: Calculating Feature Importance

MindsDB CTO, Jorge Torres, answers a user's questions question on how to calculate feature importance and represent a model's reasoning.

Neural Networks as Non-Leaky Mathematical Abstraction

MindsDB's senior machine learning engineer, George Hosu, discusses his hypothesis that machine learning provides for non-leaky mathematical abstractions.

User Question: Deploying Models and Predictions to an API with MindsDB

MindsDB CTO, Jorge Torres, answers a user's questions question about whether MindsDB has a way for him to deploy his models and predictions to an API that’ll be used by applications.

A Designer in the Machine Learning World?

MindsDB designer, Richie Ramball Fattori, discusses how he got into the machine learning world and how design fits into the ML world.

If Van der Waals Was a Neural Network

MindsDB machine learning engineer, George Hosu, explores what would happen if Van der Waals was a neural network.

User Question: Best Way to Begin Learning AI

A user wants to know how they can get started with AI.

User Question: Who will benefit most from XAI?

A user wants to know who'll benefit the most from Explainable AI. We share our perspective.

Bimodal Programming – Why Design Patterns Fail

MindsDB's senior machine learning engineer, George, explores why design patterns don't typically work.

User Question: Who is XAI for?

A user wants to know whether XAI is intended for both data scientists and non-technical users. Here's our take.

Data Scientists: Why are they so expensive to hire?

In 2018 the average salary for a junior level data scientist is $115,000 and those managing a team of 10–15 members can demand salaries as high as $350,000. Meanwhile, the median years of experience for a data scientist dropped from 9 years in 2014 to 6 years in 2015.

How ML is helping organizations be smarter with their data

Learn how ML is helping organizations be smarter with their data.

Explainable AI: The Next Frontier in Human-Machine Harmony

A dive into Explainable AI (XAI). What it is? Why it is so important? Its origins and what’s next?

A Simple Comparison: Machine Learning vs. Artificial Intelligence vs. Deep Learning

As the co-founder of a machine learning startup, many people have asked me to explain the difference between Machine Learning, Artificial intelligence and Deep Learning. So, I thought it was about time I have a go at writing a sub-2-minute article on the topic. Here goes….

How Retailers & E-commerce Providers Can Use AI to Transform Their Businesses

Discover the ways that machine learning can help transform the retail and e-commerce industries.

Artificial Intelligence is Becoming a Powerful Weapon in the Fight Against Fraud

These days, it is not a matter of if, but when a company will be targeted by cybercriminals to carry out an illicit online activity which hurts both the consumer and merchant. AI can help protect both of these parties.

User Question: Ensuring Observer Model Trustworthiness

MindsDB CTO, Jorge Torres, answers a user's questions question on how to ensure that the observer model is trustworthy in the soft XAI observer approach.

Using MindsDB for Risk Analysis

In this article, we take a look at how we run a dataset through MindsDB end-to-end using a “standard” data set called “German Credit”. The purpose of this data set is to predict whether someone’s credit class is either good or bad based on 20 attributes such as installment rate, job, purpose and credit history.

User Question: Calculating Feature Importance

MindsDB CTO, Jorge Torres, answers a user's questions question on how to calculate feature importance and represent a model's reasoning.

Neural Networks as Non-Leaky Mathematical Abstraction

MindsDB's senior machine learning engineer, George Hosu, discusses his hypothesis that machine learning provides for non-leaky mathematical abstractions.

User Question: Deploying Models and Predictions to an API with MindsDB

MindsDB CTO, Jorge Torres, answers a user's questions question about whether MindsDB has a way for him to deploy his models and predictions to an API that’ll be used by applications.

A Designer in the Machine Learning World?

MindsDB designer, Richie Ramball Fattori, discusses how he got into the machine learning world and how design fits into the ML world.

If Van der Waals Was a Neural Network

MindsDB machine learning engineer, George Hosu, explores what would happen if Van der Waals was a neural network.

User Question: Best Way to Begin Learning AI

A user wants to know how they can get started with AI.

User Question: Who will benefit most from XAI?

A user wants to know who'll benefit the most from Explainable AI. We share our perspective.

Contributing to an open source project: How to get started

Want to get involved in an open source project? Here are a few things to consider to help you get started.

MindsDB: Call for Beta Testers

We're seeking beta testers to test our newest release of MindsDB, Sign up today.

How to Get Involved in the MindsDB Community

Looking to get involved in the MindsDB community? This post provides you with several ways to get involved.

Contributor Spotlight: Daouda Tandiang Djiba, Data Scientist

In our contributor spotlight series, we shine the light on our contributors—the people helping us move the needle on making explainable AI accessible to everyone.

Contributing to an open source project: How to get started

Want to get involved in an open source project? Here are a few things to consider to help you get started.

MindsDB: Call for Beta Testers

We're seeking beta testers to test our newest release of MindsDB, Sign up today.

How to Get Involved in the MindsDB Community

Looking to get involved in the MindsDB community? This post provides you with several ways to get involved.

Contributor Spotlight: Daouda Tandiang Djiba, Data Scientist

In our contributor spotlight series, we shine the light on our contributors—the people helping us move the needle on making explainable AI accessible to everyone.

MindsDB at PyCon SK 2019

Join MindsDB at PyCon SK in Bratislava from March 22–24. In its fourth year, PyCon SK is an annual conference for people who use and develop applications with the open-source programming language python.

Event Recap: MindsDB at PYConSK 2019

PyConSK 2019, the fourth annual conference for Python developers hosted by PyCon SK, was held on March 22–24 in Bratislava, SK. The MindsDB team attended. Here's a recap of the conference.

Trip Recap: MindsDB in Central Europe

The MindsDB team spent a week attending a conference and meetings in Central Europe. See the recap!

MindsDB at PyCon SK 2019

Join MindsDB at PyCon SK in Bratislava from March 22–24. In its fourth year, PyCon SK is an annual conference for people who use and develop applications with the open-source programming language python.

Event Recap: MindsDB at PYConSK 2019

PyConSK 2019, the fourth annual conference for Python developers hosted by PyCon SK, was held on March 22–24 in Bratislava, SK. The MindsDB team attended. Here's a recap of the conference.

Trip Recap: MindsDB in Central Europe

The MindsDB team spent a week attending a conference and meetings in Central Europe. See the recap!

User Question: Is MindsDB compatible with scikit-learn?

A user wants to know whether MindsDB's machine learning models are compatible with scikit-learn.

Using MindsDB in Amazon SageMaker

Learn how to use MindsDB’s packaged container and Amazon SageMaker SDK to train models and use them to host the endpoint on Amazon SageMaker with a few lines of code.

What's New: MindsDB March 2020 Product Updates

Take a look at what we've accomplished in the month of March.

What's New: MindsDB February 2020 Product Updates

Take a look at what we've been working on this month and read about our latest product features.

MindsDB Scout - An Overview

Let's run through a quick introduction to MindsDB’s most user-friendly product, MindsDB Scout, a graphical user interface that sits on top of MindsDB and the MindsDB server.

User Question: Requirements and Skills Needed to Use MindsDB

A user wants to know what skills and requirements they'd need to use MindsDB.

What's New: MindsDB January 2020 Product Updates

Explore the newest product features and updates from MindsDB.

How to Integrate MindsDB with Amazon SageMaker

Learn how you can use MindsDB and SageMaker to train and deploy models within SageMaker, create endpoints and take advantage of automated machine learning with MindsDB.

Calling the MindsDB Endpoint on SageMaker using AWS Lambda and API Gateway

Learn how to expose the MindsDB endpoint as a REST API and use the HTTP client as Postman for testing the service.

User Question: Is MindsDB compatible with scikit-learn?

A user wants to know whether MindsDB's machine learning models are compatible with scikit-learn.

Using MindsDB in Amazon SageMaker

Learn how to use MindsDB’s packaged container and Amazon SageMaker SDK to train models and use them to host the endpoint on Amazon SageMaker with a few lines of code.

What's New: MindsDB March 2020 Product Updates

Take a look at what we've accomplished in the month of March.

What's New: MindsDB February 2020 Product Updates

Take a look at what we've been working on this month and read about our latest product features.

MindsDB Scout - An Overview

Let's run through a quick introduction to MindsDB’s most user-friendly product, MindsDB Scout, a graphical user interface that sits on top of MindsDB and the MindsDB server.

User Question: Requirements and Skills Needed to Use MindsDB

A user wants to know what skills and requirements they'd need to use MindsDB.

What's New: MindsDB January 2020 Product Updates

Explore the newest product features and updates from MindsDB.

How to Integrate MindsDB with Amazon SageMaker

Learn how you can use MindsDB and SageMaker to train and deploy models within SageMaker, create endpoints and take advantage of automated machine learning with MindsDB.

Calling the MindsDB Endpoint on SageMaker using AWS Lambda and API Gateway

Learn how to expose the MindsDB endpoint as a REST API and use the HTTP client as Postman for testing the service.