Artificial Intelligence & Machine Learning
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YesterdayBeginner-Level 4
Python is not strictly mandatory to begin learning Computer Vision, but it is the most commonly used language in this field. Most Computer Vision libraries such as OpenCV, NumPy, TensorFlow, and PyTorch are designed to work smoothly with Python, which makes learning and implementing concepts easier for beginners.
If a student has no prior experience with Python, they can still start learning Computer Vision. The essential Python basics can be learned alongside the initial CV concepts. Many institutes, including Skills IT Academy, introduce foundational Python skills before moving toward advanced Computer Vision algorithms.
In summary, Py
New answer posted
2 months agoContributor-Level 10
Hi, please refer below for the best colleges for AI ML in India with their average placement package:
College Names | Average Placement Package | Top Recruiters |
|---|---|---|
INR 12 LPA | Airbus, Apple, Google, Intel, Rubrik, etc. | |
INR 13 LPA – INR 15 LPA | Microsoft, Air India, Texas Instruments, Bajaj Auto, Goldman Sachs, etc. | |
INR 8 LPA | Microsoft, Amazon, PayPal, Cisco, Bank of America, etc. | |
INR 13 LPA | Amazon, Adobe, Morgan Stanley, Bajaj Auto, etc. | |
INR 20 LPA – INR 21 LPA | Google, Deloitte, Accenture, Paytm, etc. |
New answer posted
2 months agoContributor-Level 10
Hi, here is a basic eligibility for AI ML courses.
UG level: Must have atleast 50% score in Class 10+2 or PCM.
PG level: A Bachelor's degree in a relevant field like CS, maths or engineering is usually required.
Hope this helps!
New question posted
2 months agoNew question posted
2 months agoNew answer posted
2 months agoContributor-Level 10
The starting Computer Vision salary for freshers is around INR 5 LPA to INR 7 LPA, which differs based on internship experience (if any), skills, recruiter, job role, and the company location. As a fresher just graduated from college or upon completion of an advanced-level online course, you can get around INR 5 LPA, but with years of experience, you can take home high salary packages because of the potential of this field in this world of AI and automation.
New answer posted
2 months agoContributor-Level 10
You can look forward to several promising career options with healthy salary packages and skill enhancement opportunities. Some top Computer Vision career options are given below:
- Computer Vision Engineer
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- AI Product Manager
- Robotics Engineer
New answer posted
2 months agoContributor-Level 10
It is rare to find specific, standalone courses for Computer Vision enthusiasts at the UG level as of now but you can easily find related courses like AI & ML, CSE, Data Science or Robotics Engineering which include class lectures on the basics of computer vision frameworks and fundamentals. You can further take up online certificate courses and be a part of projects or internships for future growth.
For your information, DIT University in Dehradun offers a BTech CSE course with a specialisation in Computer Vision and Biometrics. For more information you can go to their official website and fetch relevant details about the program.
New answer posted
2 months agoContributor-Level 10
A typical Computer Vision course teaches you about the introduction to computer vision, image processing fundamentals, feature detection, image segmentation, advanced machine learning techniques, deep learning frameworks, motion analysis and object tracking, and programming. Rest; the online course modules differ based on the specific programme opted for by you and the platform offering the course.
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New answer posted
2 months agoContributor-Level 10
Here are some points you can consider for course assessment and make the right choice:
- The first step is personal skill assessment where you need to be clear whether you want to go for beginner level, intermediate or advanced courses based on your present skill set and knowledge of AI and computer vision basics.
- Further, you must research multiple courses, check their course content, look for hands-on projects, check for the instructor expertise, and read student reviews.
- Check if you will get a completion certificate after the course and the course duration and cost.
- Look if the course allows for self paced lectures or has fixed online cl
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