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Henrik Skogström
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Henrik Skogström's Page

Latest Activity

Henrik Skogström posted a blog post

When Should a Machine Learning Model Be Retrained?

A few years ago, it was extremely uncommon to retrain a machine learning model with new observations systematically. This was mostly because the model retraining tasks were laborious and cumbersome, but machine learning has come a long way in a short time. Things have changed with the adoption of more sophisticated MLOps solutions.Now, the common practice of retaining a…See More
15 hours ago
Henrik Skogström's blog post was featured

When Should a Machine Learning Model Be Retrained?

A few years ago, it was extremely uncommon to retrain a machine learning model with new observations systematically. This was mostly because the model retraining tasks were laborious and cumbersome, but machine learning has come a long way in a short time. Things have changed with the adoption of more sophisticated MLOps solutions.Now, the common practice of retaining a…See More
15 hours ago
Henrik Skogström posted a blog post

When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?”There simply is no single right answer.There is no clear-cut measure of when a machine learning model is ready to be put into production, but there are a set of thought experiments that you should go through for each new model.Identify the Goal of the Machine Learning ModelWhen you are trying to decide if a machine learning model is ready for…See More
Nov 25
Henrik Skogström's blog post was featured

When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?”There simply is no single right answer.There is no clear-cut measure of when a machine learning model is ready to be put into production, but there are a set of thought experiments that you should go through for each new model.Identify the Goal of the Machine Learning ModelWhen you are trying to decide if a machine learning model is ready for…See More
Nov 18
Henrik Skogström posted a blog post

When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?”There simply is no single right answer.There is no clear-cut measure of when a machine learning model is ready to be put into production, but there are a set of thought experiments that you should go through for each new model.Identify the Goal of the Machine Learning ModelWhen you are trying to decide if a machine learning model is ready for…See More
Nov 18
Henrik Skogström updated their profile
Nov 2
Henrik Skogström liked Henrik Skogström's blog post The MLOps Stack
Oct 30
Anthony Fiedler liked Henrik Skogström's blog post The MLOps Stack
Oct 29
Henrik Skogström's blog post was featured

The MLOps Stack

What is MLOps (briefly)MLOps is a set of best practices that revolve around making machine learning in production more seamless. The purpose is to bridge the gap between experimentation and production with key principles to make machine learning reproducible, collaborative, and continuous.MLOps is not dependent on a single technology or platform. However, technologies play a significant role in practical implementations, similarly to how adopting Scrum often culminates in setting up and…See More
Oct 29

Profile Information

Company:
Valohai
Job Title:
Head of Product
Seniority:
Director
Job Function:
Other
Country
Finland
Number of employees:
1 to 49
Industry:
Technology
Short Bio:
Valohai is an MLOps platform that enables the whole data science team to work together to launch real-world machine learning solutions. Valohai gives easy access to powerful cloud computing and helps build ML pipelines that train, evaluate and deploy new models.

At Valohai I lead the growth team. My mission is to ensure that no company tries to reinvent the wheel and waste their resources building their own MLOps tooling.
LinkedIn Profile:
http://https://www.linkedin.com/in/skogstrom/
Interests:
Contributing, Networking
Topics of Interest
Data Science, Machine Learning, Deep Learning, Data Visualization, Business Analytics, Data Strategy

Henrik Skogström's Blog

When Should a Machine Learning Model Be Retrained?

Posted on November 30, 2020 at 11:11pm 0 Comments

A few years ago, it was extremely uncommon to retrain a machine learning model with new observations systematically. This was mostly because the model retraining tasks were laborious and cumbersome, but machine learning has come a long way in a short time. Things have changed with the adoption of more sophisticated MLOps solutions.

Now, the…

Continue

When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

Posted on November 18, 2020 at 5:30am 0 Comments

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?”

There simply is no single right answer.

There is no clear-cut measure of when a machine learning model is ready to…

Continue

The MLOps Stack

Posted on October 26, 2020 at 12:57am 0 Comments

What is MLOps (briefly)

MLOps is a set of best practices that revolve around making machine learning in production more seamless. The purpose is to bridge the gap between experimentation and production with key principles to make machine learning reproducible, collaborative, and continuous.

MLOps is not dependent on a single technology or platform. However, technologies play a significant role in practical…

Continue

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