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Resources

Webinars

We offer regular webinars on various topics related to Machine Learning

Use Cases

Use cases in the automation of workflows with Machine Learning.

Publications

Academic papers that our Machine Learning Scientists have written or contributed to.

Blog

About machine learning, its practical applications and some theoretical considerations

Latest

August 2nd

2022

The best (Python) tools for remote sensing

Written by Emilius Richter

I present the best (Python) tools for remote sensing and processing of satellite data, based on our practical experience with them at dida. For some I provide application examples including code.

July 18th

2022

Project proposals - the first step to a successful ML project

May 31st

2022

Image Captioning with Attention

May 9th

2022

AI Index Report 2022: key findings about the status quo of AI

April 21st

2022

Data Privacy: Machine Learning and the GDPR

Blog categories

Computer Vision

Teaching Machines to see

August 2nd

2022

The best (Python) tools for remote sensing

May 31st

2022

Image Captioning with Attention

March 21st

2022

How to implement a labeling tool for image classification in a Jupyter notebook

October 6th

2021

Data-centric Machine Learning: Making customized ML solutions production-ready

August 19th

2021

Classification of Crop Fields through Satellite Image Time Series

July 16th

2021

Extracting information from technical drawings

July 5th

2021

Visual Transformers: How an architecture designed for NLP enters the field of Computer Vision

June 21st

2021

CLIP: Mining the treasure trove of unlabeled image data

June 4th

2021

Migrating labels from Planet Scope to Sentinel-2

May 21st

2021

21 questions we ask our clients: Starting a successful ML project

April 8th

2021

The best image labeling tools for Computer Vision

March 29th

2021

dida's tech stack

March 19th

2021

Using satellite imagery for greenfield exploration

February 26th

2021

Deploying software with Docker containers

February 5th

2021

Understanding graph neural networks by way of convolutional nets

January 18th

2021

Understanding and converting MGRS coordinates in Python

October 12th

2020

Monitoring urban development from space

September 1st

2020

Detecting illegal mines from space

August 3rd

2020

What is Reinforcement Learning? (Part 2)

May 11th

2020

Pretraining for Remote Sensing

April 27th

2020

What is Reinforcement Learning? (Part 1)

April 14th

2020

Can we do without labeled data? (Un)supervised ML

March 16th

2020

How to recognise objects in videos with PyTorch

March 4th

2020

What is Bayesian Linear Regression? (Part 2)

February 17th

2020

What is Bayesian Linear Regression? (Part 1)

January 31st

2020

Beat Tracking with Deep Neural Networks

December 18th

2019

Machine Learning Approaches for Time Series

December 2nd

2019

How to distribute a Tensorflow model as a JavaScript web app

November 11th

2019

Detecting clouds in satellite images using convolutional neural networks

October 25th

2019

How Google Cloud facilitates Machine Learning projects

September 24th

2019

Data Augmentation with GANs for Defect Detection

August 27th

2019

Pattern Recognition in Medical Imaging

July 15th

2019

What is AI?

May 24th

2019

Semantic segmentation of satellite images

Introductions

Learn about machine learning from scratch

July 18th

2022

Project proposals - the first step to a successful ML project

February 18th

2022

OpenAI Codex: Why the revolution is still missing

December 20th

2021

Ethics in Natural Language Processing

October 24th

2021

GPT-3 and beyond - Part 2: Shortcomings and remedies

September 27th

2021

GPT-3 and beyond - Part 1: The basic recipe

July 5th

2021

Visual Transformers: How an architecture designed for NLP enters the field of Computer Vision

May 21st

2021

21 questions we ask our clients: Starting a successful ML project

April 26th

2021

Enhancing Search with Question Answering

March 19th

2021

Using satellite imagery for greenfield exploration

August 3rd

2020

What is Reinforcement Learning? (Part 2)

July 22nd

2020

BERT for question answering (Part 1)

July 2nd

2020

BERT for question answering (Part 2)

April 27th

2020

What is Reinforcement Learning? (Part 1)

April 14th

2020

Can we do without labeled data? (Un)supervised ML

March 4th

2020

What is Bayesian Linear Regression? (Part 2)

February 17th

2020

What is Bayesian Linear Regression? (Part 1)

August 27th

2019

Pattern Recognition in Medical Imaging

August 12th

2019

What is Natural Language Processing (NLP)?

July 15th

2019

What is AI?

Natural Language Processing

Making sense of text, speech and structured documents

May 31st

2022

Image Captioning with Attention

February 18th

2022

OpenAI Codex: Why the revolution is still missing

December 20th

2021

Ethics in Natural Language Processing

October 24th

2021

GPT-3 and beyond - Part 2: Shortcomings and remedies

October 6th

2021

Data-centric Machine Learning: Making customized ML solutions production-ready

September 27th

2021

GPT-3 and beyond - Part 1: The basic recipe

June 21st

2021

CLIP: Mining the treasure trove of unlabeled image data

May 21st

2021

21 questions we ask our clients: Starting a successful ML project

April 26th

2021

Enhancing Search with Question Answering

March 29th

2021

dida's tech stack

February 26th

2021

Deploying software with Docker containers

February 5th

2021

Understanding graph neural networks by way of convolutional nets

September 28th

2020

How to identify duplicate files with Python

August 17th

2020

How to extract text from PDF files

July 22nd

2020

BERT for question answering (Part 1)

July 2nd

2020

BERT for question answering (Part 2)

March 30th

2020

The best free labeling tools for text annotation in NLP

March 4th

2020

What is Bayesian Linear Regression? (Part 2)

March 2nd

2020

Digital public administration: intuitive online access through AI

February 17th

2020

What is Bayesian Linear Regression? (Part 1)

January 31st

2020

Beat Tracking with Deep Neural Networks

January 20th

2020

Comparison of OCR tools: how to choose the best tool for your project

January 6th

2020

Temporal convolutional networks for sequence modeling

December 18th

2019

Machine Learning Approaches for Time Series

December 2nd

2019

How to distribute a Tensorflow model as a JavaScript web app

October 25th

2019

How Google Cloud facilitates Machine Learning projects

August 12th

2019

What is Natural Language Processing (NLP)?

July 15th

2019

What is AI?

April 23rd

2019

Extracting information from documents

Software Development

Everything related to coding

July 18th

2022

Project proposals - the first step to a successful ML project

October 6th

2021

Data-centric Machine Learning: Making customized ML solutions production-ready

March 29th

2021

dida's tech stack

February 26th

2021

Deploying software with Docker containers

December 2nd

2019

How to distribute a Tensorflow model as a JavaScript web app

October 25th

2019

How Google Cloud facilitates Machine Learning projects

Theory & Algorithms

For those not afraid of formulas

February 18th

2022

OpenAI Codex: Why the revolution is still missing

October 24th

2021

GPT-3 and beyond - Part 2: Shortcomings and remedies

August 19th

2021

Classification of Crop Fields through Satellite Image Time Series

July 16th

2021

Extracting information from technical drawings

July 5th

2021

Visual Transformers: How an architecture designed for NLP enters the field of Computer Vision

June 21st

2021

CLIP: Mining the treasure trove of unlabeled image data

February 5th

2021

Understanding graph neural networks by way of convolutional nets

August 3rd

2020

What is Reinforcement Learning? (Part 2)

July 22nd

2020

BERT for question answering (Part 1)

July 2nd

2020

BERT for question answering (Part 2)

April 27th

2020

What is Reinforcement Learning? (Part 1)

March 4th

2020

What is Bayesian Linear Regression? (Part 2)

February 17th

2020

What is Bayesian Linear Regression? (Part 1)

January 31st

2020

Beat Tracking with Deep Neural Networks

January 6th

2020

Temporal convolutional networks for sequence modeling

December 18th

2019

Machine Learning Approaches for Time Series

Tools

Useful tools for facilitating machine learning projects

August 2nd

2022

The best (Python) tools for remote sensing

March 21st

2022

How to implement a labeling tool for image classification in a Jupyter notebook

April 8th

2021

The best image labeling tools for Computer Vision

March 29th

2021

dida's tech stack

February 26th

2021

Deploying software with Docker containers

January 18th

2021

Understanding and converting MGRS coordinates in Python

September 28th

2020

How to identify duplicate files with Python

August 17th

2020

How to extract text from PDF files

March 30th

2020

The best free labeling tools for text annotation in NLP

January 20th

2020

Comparison of OCR tools: how to choose the best tool for your project

October 25th

2019

How Google Cloud facilitates Machine Learning projects

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