Author Archives: 365Data Science

Today I would like to share with you a simple solution to image deskewing problem (straightening a rotated image). If you’re working on anything that has text extraction from images — you will have to deal with image deskewing in one form or another. From camera pictures to scanned documents — deskewing is a mandatory step in image pre-processingContinue reading “How to automatically deskew (straighten) a text image using OpenCV”

Data feeds machine learning models, and the more the better, right? Well, sometimes numerical data isn’t quite right for ingestion, so a variety of methods, detailed in this article, are available to transform raw numbers into something a bit more palatable. Originally from KDnuggets https://ift.tt/2RhQYiU source https://365datascience.weebly.com/the-best-data-science-blog-2020/feature-engineering-for-numerical-data

This article is a collection of things the author would like to have known when they started out in NLP. Perhaps it will be useful for you. Originally from KDnuggets https://ift.tt/2GH8Y4b source https://365datascience.weebly.com/the-best-data-science-blog-2020/an-introduction-to-nlp-and-5-tips-for-raising-your-game

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50. Originally from KDnuggets https://ift.tt/2DQtb6I source https://365datascience.weebly.com/the-best-data-science-blog-2020/math-for-programmers9289268

Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science. Originally from KDnuggets https://ift.tt/3bMo7Nc source https://365datascience.weebly.com/the-best-data-science-blog-2020/ai-papers-to-read-in-2020

In another post, we explained how to apply Object Detection in Tensorflow. In this post, we will provide some examples of how you can apply Object Detection using the YOLO algorithm in Images and Videos. For our example, we will use the ImageAI Python library where with a few lines of code we can applyContinue reading “YOLO: Object Detection in Images and Videos”

AI will inevitably impact every field of study and work Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/we-all-have-a-career-in-ai-c0efbf6884a2?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/we-all-have-a-career-in-ai

Camera image stream processing problem Camera is a nice plugin to access hardware cameras, take some pictures and save them in a memory, while camera streaming is very heavy and quite efficient only on a medium quality level. It might be enough in some cases, but when resolution matters, streams can lag and slow downContinue reading “Image Stream Processing in Flutter application by TFLite Neural Networks”

As a novice or seasoned Data Scientist, your work depends on the data, which is rarely perfect. Properly handling the typical issues with data quality and completeness is crucial, and we review how to avoid six of these common scenarios. Originally from KDnuggets https://ift.tt/2FllZji source https://365datascience.weebly.com/the-best-data-science-blog-2020/6-common-mistakes-in-data-science-and-how-to-avoid-them

The fields of Big Data, Data Analytics/Science, and Data Integration need to face a new truth: We are drowning in data, more and more so every second of every day. Originally from KDnuggets https://ift.tt/3itH9u4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/lets-be-honest-were-drowning-in-data