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Mikael Ahonen

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Mikael Ahonen

Inspiration | Attitude | Stories

  • Blog
    • Data Science
    • Software
    • Business
    • Self improvement
    • Free time
    • Society
  • Mikael
  • Business
    • Microsoft Excel
    • Pipedrive CRM
  • English
    • Suomi
    • English
    • Svenska

Mikael Ahonen

Inspiration | Attitude | Stories

Tag: machine learning

Alternatives for a free data science workspace.
25.12.202129.12.2021Data Science, Machine learning platforms in cloud

Free data science workspaces

Google Colab, Databricks Community Edition, Visual Studio Code and Dcoker are some options to create a free data science workspace.

27.11.202127.05.2022Data Science, Machine learning platforms in cloud

Comparison of machine learning platforms in major clouds

Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.

Example of a simple machine learning process.
21.11.202128.05.2022Data Science, Machine learning platforms in cloud

What is a machine learning platform?

What is a machine learning platform? Introducing different components such as workbench, MLOps tools and cloud computation.

Koneoppimisen hyödyntäminen ennakoivassa huollossa. Kaksiosaisessa sarjassa asiaa kustannusäästöistä ja esimerkki Python-kielellä.
29.10.202027.10.2020Data Science

Machine learning in predictive maintenance

Machine learning in predictive maintenance. The two-part blog series provides insights for cost savings and an example script in Python.

Difference between Data Science and Data Engineering 1. Data platform built by a Data Engineer 2. Predictions and recommendations developed by a Data Scientist
17.08.202025.12.2021Data Science

Difference between data scientist and data engineer roles

In my opinion the big difference is that a data scientist focuses more on business problems while data engineer solves technical problems.

Review about DataCamp data science courses. Read the review about the online training and get familiar with pricing and service offering.
13.08.202010.02.2022Data Science

DataCamp – Learn data science online

Experiences from DataCamp online training. Structured data science courses are easy to organize for yourself or a team.

Clustering time series data with SQL. The purpose is to prove that doing data science doesn't always require fancy tools. Examples in this repository might be helpful, if you must use SQL instead of proper data science tools such as python. Thus this repository is not a comprehensive guide for time series data clustering. Even though clustering is often connected to machine learning, this showcase relies only on logical decision making. I have focused on IoT related data in the field of predictive maintenance.
10.11.201910.11.2019Data Science

Clustering data using SQL – An example with industrial IoT data

Clustering time series data with SQL – Nice 3D visualization using simple logic. Python notebook example in GitHub with industrial data.

Finnish language stemming and lemmatization in python.
23.06.201913.08.2020Data Science

Finnish stemming and lemmatization in python

I wrote to Solita’s blog about text analytics with the headline “Finnish stemming and lemmatization in python”. The post has code examples.

Experiences from funding application classification by text analytics
27.01.201908.02.2022Data Science

Experiences from funding application classification by text analytics

Experiences from funding application classification by text analytics

Example: How to combine machine learning and business?
15.05.201808.02.2022Data Science

Combining machine learning and business – Practical example

I give an example about machine learning use case in a format that should be understandable also for less technical people.

Sports betting tutorial - Can you make living with it?
26.10.201608.02.2022Data Science

Sports betting tutorial – Can you make the living?

You can make the living by sports betting. The blog is not sponsored as I’m sharing my own experiences. Read the tutorial.

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