Practical Machine Learning with Tensorflow faq

learnersLearners: 38
instructor Instructor: / instructor-icon
duration Duration: duration-icon

Practical Machine Learning with TensorFlow: Unlock the potential of AI in real-world scenarios! Learn how to build and deploy machine learning models for impactful solutions. #PracticalML #TensorFlow #AIInstitute

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Swayam

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

16th Aug, 2020

Course Overview

❗The content presented here is sourced directly from Swayam platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 31st, 2023]

What does this course tell?
(Please note that the following overview content is from Alison)
This will be an applied Machine Learning Course jointly offered by Google and IIT Madras We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part After this course the students will be able to build ML models using Tensorflow
INTENDED AUDIENCE:
Any Interested Candidates
PREREQUISITES:
Programming in Python Data Mining or Machine Learning or Data Science

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
Upon completion of this course, students will acquire the skills and knowledge to build ML models using Tensorflow. They will gain an understanding of the basics of Tensorflow and Machine Learning, as well as advanced topics. Additionally, they will gain an understanding of the fundamentals of Python programming, Data Mining, Machine Learning, and Data Science.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing students with the knowledge and skills necessary to build ML models using Tensorflow. The course covers the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After completing this course, students will have a better understanding of the fundamentals of Machine Learning and Tensorflow, and will be able to apply their knowledge to create ML models. This course is ideal for any interested candidates who have a background in programming in Python, Data Mining, Machine Learning, or Data Science.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it covers the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After completing this course, students will be able to build ML models using Tensorflow. The intended audience for this course is any interested candidates and the prerequisites are programming in Python, Data Mining, Machine Learning, or Data Science.

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faq FAQ for Tensorflow Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Swayam, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 38 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Swayam's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Swayam may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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