Introduction to Image Processing using Python – News Couple
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Introduction to Image Processing using Python


Dear Readers,

We are excited to bring you another exciting session of the DataHour. In this session, we have Siddhant Sadangi with us who is a Data Scientist at Reuters. Well, this session intrigues me personally as we will be dealing with the images. How our world is ruled by the dominance of the visuals around? Images literally add life to anything and everything. So, here we will learn how images can be processed using python. Sounds exciting? So, what are you waiting for? Register now and keep your laptop ready as this session will be a practical hands-on experience where you will run codes along with the speaker.

BOOK YOUR SEAT NOW! ­čŤő´ŞĆ

About the DataHour

Extracting useful information from unstructured data has always been a topic of huge interest in the research community. One such example of unstructured data is an image, and analysis of image data has applications in various aspects of the business.

This DataHour is going to be an interactive code-along session with Siddhant Sadangi, in which he’ll introduce you to the digital representation of an image, and how image characteristics can be altered using Python.

Prerequisites: Enthusiasm for learning, a Google account, basic knowledge of Google Collaboratoryand basic knowledge of Python.

Who is this DataHour for?

  • Anyone interested in Computer Vision and its applications.
  • Working professions in the field of Computer Vision.

Speaker: Siddhant Sadangi

Siddhant has three years of data science experience with Reuters where he supports its Sales, Product, and Editorial teams with data, insights, and predictive analyses. He is also a technical content creator with Neptune.ai, an MLOps platform, where he creates and audits their documentation, blogs, and open-source code. He also has 3.5 years of experience in data warehousing and ETL with Deloitte.

Conclusion to DataHour

Grab this fantastic opportunity by registering here for the DataHour Webinar. If you’re attending this session and have some preliminary questions about this topic, please send them to us at [email┬áprotected]or you could ask directly to the speaker during the session.

If you missed our previously conducted ‘The DataHour’ series, head to our YouTube Channel and check out the recordings. Read the synopsis about the previous held DataHour sessions on our blog here.

Connect

If you’re facing any difficulty registering or wish to conduct a session with us. Then, get in touch with us at [email┬áprotected]

BOOK YOUR SEAT NOW! ­čŤő´ŞĆ



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