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Mayank

Mayank Chandel  |2487 Answers  |Ask -

IIT-JEE, NEET-UG, SAT, CLAT, CA, CS Exam Expert - Answered on Oct 20, 2023

Mayank Chandel has over 18 years of experience coaching and training students for various exams like IIT-JEE, NEET-UG, SAT, CLAT, CA and CS.
Besides coaching students for entrance exams, he also guides Class 10 and 12 students about career options in engineering, medicine and the vocational sciences.
His interest in coaching students led him to launch the firm, CareerStreets.
Chandel holds an engineering degree in electronics from Nagpur University.... more
Asked by Anonymous - Oct 17, 2023Hindi
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Hello,my daughter has taken 2 Drops for MBBS ,given neet twice,but this year also couldn't get decent college , should she go for one more repeat for neet or can she go with other options.Really in dilemma, kindly help.

Ans: Hello,
When the world says give up, hope says " Let's try one more time."
It's almost the end of the session let her try once again with full vigor & do tell her that this is her last to make it to be a doctor.
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I am a retired professional with 35+ years of experience in cement industry and power electronics and embedded systems production.I am working as a freelance consultant.I am an electronics engineering graduate with experience in electrical and instrumentation in cement plants,in addition to power electronics and also emebedded systems production.I want to develop myself in AI.please guide me how shall I proceed ? Thanks.
Ans: Here’s a simple step-by-step path you can follow to get started in AI:
1. Start with Python – Since you have a technical background, learning Python will be easy. It’s the main language used in AI. Use beginner-friendly platforms like Coursera or Udemy.
2. Learn AI Basics – Begin with the basics of machine learning (ML), which is a core part of AI. A good course is Andrew Ng’s ML course on Coursera.
3. Explore Practical Tools – Learn tools like TensorFlow or PyTorch (for ML models) and basic data handling using Pandas and NumPy.
4. Focus on Projects – Try small hands-on projects like predictive maintenance (can relate to your industry), image recognition, or control systems using AI. This will bridge your domain knowledge with AI.
5. Join AI Forums or Groups – Connect with AI communities, maybe even ones for professionals in engineering fields. You’ll learn a lot from discussion and real problems.
6. Optional: Certifications – If you want formal recognition, go for AI certifications from IBM, Google, or Microsoft.
Since you’re already a consultant, you could eventually apply AI to industrial automation, fault detection, or predictive analytics in cement and power sectors.
Go step by step—don’t rush. Even 1 hour a day will help you grow steadily.

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