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AI and Machine Learning
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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
Show moreπ Analytical overview of Telegram channel AI and Machine Learning
Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 169 subscribers, ranking 1 543 in the Education category and 2 997 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 94 169 subscribers.
According to the latest data from 29 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 917 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.14%. Within the first 24 hours after publication, content typically collects 2.71% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 725 views. Within the first day, a publication typically gains 2 549 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_coursesβ
Thanks to the high frequency of updates (latest data received on 30 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
94 169
Subscribers
No data24 hours
+2937 days
+91730 days
Posts Archive
94 192
πΈ Full description πΈ
Formerly complicated tasks like audio transcription for videos have become much simpler thanks to the rise of APIs like Google's Speech-to-Text. But while this exciting new tool can handle transcription, if you want to transcribe a lot of audio, your code still needs to set up connections and authentication and pipe the information back and forth. In this course, instructor Fikayo Adepoju shows you how to integrate Node.js applications with Google AI Speech-to-Text. Learn how to set up Google AI Speech-to-Text, build the video transcriber interface, develop the back end and connect to the AI, and then bring it all together.This course is designed for intermediate and advanced developers interested in the future of development with generative AI and the integration of applications with AI models.
94 192
π
Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
π Author: Fikayo Adepoju
π° Level: Intermediate
β° Duration: 1h 9m
π
Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.
π Topics: Machine Transcription, Artificial Intelligence, Node.js
π€ Join @linkedin_learning for more courses94 192
πΈ Full description πΈ
Formerly complicated tasks like audio transcription for videos have become much simpler thanks to the rise of APIs like OpenAI's Whisper. But while this exciting new tool can handle transcription, if you want to transcribe a lot of audio, your code still needs to set up connections and authentication and pipe the information back and forth. In this course, instructor Fikayo Adepoju shows you how to integrate Node.js applications with the OpenAI Whisper API. Learn how to set up OpenAI API access, build the video transcriber interface, develop the back end and connect to the AI, and then bring it all together.This course is designed for intermediate and advanced developers interested in the future of development with generative AI and the integration of applications with AI models.
94 192
π
Building a Video Transcriber with Node.js and OpenAI API
π Author: Fikayo Adepoju
π° Level: Intermediate
β° Duration: 1h 2m
π
Learn how to transcribe audio from video by integrating Node.js applications with the OpenAI Whisper API.
π Topics: OpenAI Products, Node.js
π€ Join @linkedin_learning for more courses94 192
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94 192
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94 192
πΈ Full description πΈ
Data analytics revolutionized the way we work, and now, with the rise of artificial intelligence, data professionals have access to tools that let them work smarter and faster than ever before. In this beginner-friendly course, instructor Chris Dutton shows you have to leverage tools like Excel and ChatGPT together to work more efficiently and make smarter, data-driven decisions. Chris and the Maven Analytics team discuss how AI is revolutionizing data analysis, introduce the art of prompt engineering, review tips and best practices for generating consistent accurate model outputs, and address common limitations and pitfalls. Throughout the course youll learn some of the most powerful ChatGPT use cases for data science and analytics, and get hands-on practice using ChatGPT to explain and interpret code, generate formulas, troubleshoot errors, optimize complex queries, and much more.
94 192
π
Excel and ChatGPT: Data Analysis Power Tips
π Author: Chris Dutton
π° Level: Beginner + Intermediate
β° Duration: 1h 41m
π
This beginner-friendly course helps you leverage Excel and ChatGPT together to work more efficiently and make smarter, data-driven decisions.
π Topics: Artificial Intelligence for Business, ChatGPT, Statistical Data Analysis
π€ Join @machine_learning_courses for more courses94 192
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