Enhance Your Programming Knowledge in Top Trending Technology Fields, such as Machine Learning and Artificial Intelligence.

Programming for Everyone
Claim This Podcastby Behic Guven
Podcast Overview
Enhance Your Programming Knowledge in Top Trending Technology Fields, such as Machine Learning and Artificial Intelligence.
Language
🇺🇲
Publishing Since
3/7/2021
1 verified contact email on file for Programming for Everyone
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

May 16, 2021
3 Simple Tricks That Will Help You Read More Books
<p>This episode is also available as a blog post: http://sonsuzdesign.blog/2020/12/23/3-simple-tricks-that-will-help-you-read-more-books-in-2021/</p>

March 29, 2021
Speech Recognition using IBM Speech-to-Text API
<p>If you are listening to this article, I am sure you heard the term “Artificial Intelligence” and how important it is. I can easily tell that a nice use of artificial intelligence in the real life is speech recognition. In this episode, we will learn how to use IBM’s Speech to Text API to recognize speech from an audio recording file.</p> <p>This episode is also available as a blog post: http://sonsuzdesign.blog/2021/01/19/speech-recognition-using-ibm-speech-to-text-api/</p>

March 16, 2021
Enhance Your Images using OpenCV Noise Reduction Algorithm
<p>In this article, I will show you how to do noise reduction in 3 simple steps. We will be using a machine learning trained noise reduction model. It is one of the best noise reduction models I’ve found out there. I will share more about the model and how to apply it in the following paragraphs.</p> <p>In this project, we will be using three python packages. The packages are as follows: OpenCV, Matplotlib, and NumPy. OpenCV is a very well-known kit for computer vision. As a prerequisite for OpenCV library, we will need to install Numpy. We transform pixels into arrays when reading an image; NumPy is going to do that in the behind scenes. When dealing with multi-dimensional arrays, NumPy is perfect.</p> <p>This episode is also available as a blog post: http://sonsuzdesign.blog/2021/02/27/enhance-your-images-using-opencv-noise-reduction-algorithm/</p>
4 total episodes available
Deep-dive analytics for Programming for Everyone
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Programming for Everyone?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
