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آموزش یادگیری ماشینی با AWS Rekognition

دسته بندی ها: آموزش یادگیری ماشینی (Machine Learning) ، آموزش هوش مصنوعی (AI) ، وب سرویس آمازون (AWS) ، آموزش های Skillshare ، آموزش شبکه (Computer network)

در دنیای هوش مصنوعی و یادگیری ماشینی با رایانش ابری و کلان داده باید AWS Rekognition را یاد بگیرید. آیا این مبحث برای شما جدید است؟ آیا می خواهید مهارت های خود را در زمینه اکوسیستم AWS افزایش دهید؟ پس استفاده از برنامه نویسی پایتون را یاد بگیرید تا متن و برچسب ها را از تصاویر با استفاده از PyCharm، Boto3 و یادگیری ماشینی AWS Rekognition استخراج کنید. در این دوره آموزشی با موارد زیر آشنا می شوید:

  • استفاده از پایتون برای استخراج برچسب ها از تصاویر
  • استخراج متن از تصاویر با استفاده از پایتون
  • اصول یادگیری ماشین AWS
  • درک کاملی از AWS Rekognition
  • نصب و پیکربندی PyCharm
  • استفاده از Boto3: برنامه نویسی در پایتون برای تشخیص اشیاء ، صورت و متن از تصاویر و موارد دیگر….

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Machine Learning Using AWS Rekognition Publisher:Skillshare Author:Syed Raza Duration:21 Videos (2h 7m)

In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn AWS Rekognition: Machine Learning Using Python step-by-step, complete hands-on - Bringing you the latest technologies with up-to-date knowledge.
Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS cetifications? Look no further - learn the Use Python programming to extract text and labels from images using PyCharm, Boto3, and AWS Rekognition Machine Learning.
Gain Solid understanding and application of AWS Rekognition machine learning along with full Python programming introduction and advanced hands-on instruction.
Course Description
Welcome to AWS Rekognition: Machine Learning Using Python - A one of its kind course!
It is not only a comprehensive course, you are will not find a course similar to this. The flipped classroom model with hand-on learning will help you experience direct  into the course as your begin your learning journey.
Note: AWS Machine learning is not free. Please note that you may incur additional costs from AWS.
In this course, you'll learn and practice:
Successfully use Python to extract labels from images
Extract text from images using Python
Fundamentals of AWS Machine Learning
Gain solid understanding of AWS Rekognition
PyCharm installation and configuration
Using Boto3: Coding in Python to detect objects, faces, and text from images, and much more....  
In this course with over 18+ hours of hands-on instruction, you will also get complete resources, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything!
So, if you would like to:
- prepare for the AWS certification exam, this course is for you
- gain marketable skills as an IT expert and professional, this course is for you
- This course is not designed for intermediate or advanced level students
...this AWS Rekognition: Machine Learning Using Python is exactly what you need, and more. (You’ll even get a certification of completion)
What out students say...
See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all of Python intro and advanced concepts and then use Python code to work with AWS Rekognition - Absolutely worth it” - Vikram Sharma
“This is such an awesome course. I loved every bit of it – Wonderful learning experience!”  Nancy Morgan.
Join thousands of other students and share valuable experience
Why take this course?
As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with AWS Rekognition, Python using PyCharm has been phenomenally great! I am excited to share my knowledge and transfer skills to my students. 
Enroll now in AWS Rekognition: Machine Learning Using Python today and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing — and enjoy bigger, brighter opportunities.
See you in class!
Syed & Team ClayDesk

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