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Aditya Kumar Srivastava Class 10 trainer in Delhi

Aditya Kumar Srivastava

Good teacher teaching online Class 9 and Class 10 CBSE

Rohini Sector 3, Delhi, India - 110085.

1 Student

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Referral Discount: Get ₹ 500 off when you make a payment to start classes. Get started by Booking a Demo.

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Identity

Education

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Identity is verified based on matching the details uploaded by the Tutor with government databases.

Overview

I give online tutoring for class 9 social science and english. I have degree in BA. I am certified in social science. my key skills to teach

Languages Spoken

Hindi Mother Tongue (Native)

English Proficient

Education

GGSIPU Delhi - Guru Gobind Singh Indraprastha University 2016

Bachelor of Computer Applications (B.C.A.)

Google 2023

The fundamentals of Digital Marketing from Google

Great Learning Academy 2023

Ai in Digital Marketing

Great Learning Academy 2023

Content Marketing Basics

Address

Rohini Sector 3, Delhi, India - 110085

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Taught Students from these Schools

D

Delhi Public School

Sarvodaya Enclave Block C, Delhi

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Teaches

Class 10 Tuition

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Board

CBSE

Preferred class strength

One on one/ Private Tutions

CBSE Subjects taught

Mathematics, Science, Social science, English

Taught in School or College

No

Courses

Social Science
LIVE
10 Hours
View this Course
Social Science and English Classes
LIVE
10 Hours
View this Course
Chemistry Class 10 CBSE Chapter 3 - Metals And Non Metals
LIVE
10 Hours
View this Course
Social Science
LIVE
10 Hours
View this Course

Reviews

No Reviews yet! Be the first one to Review

FAQs

1. Which school boards of Class 10 do you teach for?

CBSE

2. Do you have any prior teaching experience?

No

3. Which classes do you teach?

I teach Class 10 Tuition Class.

4. Do you provide a demo class?

Yes, I provide a free demo class.

5. How many years of experience do you have?

I have been teaching for less than a year.

Book a Demo

Answers by Aditya Kumar Srivastava (90)

Answered on 15/10/2023 Learn IT Courses/Data Science

What is the difference between batch gradient descent and stochastic gradient descent?

In batch gradient Descent, as we have seen earlier as well, we take the entire dataset > calculate the cost function > update parameter. In the case of Stochastic Gradient Descent, we update the parameters after every single observation and we know that every time the weights are updated it is known... ...more
In batch gradient Descent, as we have seen earlier as well, we take the entire dataset > calculate the cost function > update parameter. In the case of Stochastic Gradient Descent, we update the parameters after every single observation and we know that every time the weights are updated it is known as an iteration.
Answers 1 Comments
Dislike Bookmark

Answered on 15/10/2023 Learn IT Courses/Data Science

What is the curse of class imbalance, and how can it be addressed?

it can pervade systemic bias of a face recognition system. The common approach to class imbalance is resampling. These can entail oversampling the majority class, undersampling the minority class, or a combination of both.
Answers 3 Comments
Dislike Bookmark

Answered on 15/10/2023 Learn IT Courses/Data Science

What is Explainable AI (XAI), and why is it important?

Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
Answers 1 Comments
Dislike Bookmark

Answered on 15/10/2023 Learn IT Courses/Data Science

What is the difference between a validation set and a test set?

Validation set is used for tuning the parameters of a model. Test set is used for performance evaluation.
Answers 2 Comments
Dislike Bookmark

Answered on 14/10/2023 Learn IT Courses/Data Science

How do you assess the fairness and bias of machine learning models?

Examine the algorithms' ability to influence human behavior and decide whether it is biased. Then, create algorithmic methods that avoid predictive bias.
Answers 2 Comments
Dislike Bookmark

Book a Demo

View All

Teaches

Class 10 Tuition

Class Location

Online Classes (Video Call via UrbanPro LIVE)

Student's Home

Tutor's Home

Board

CBSE

Preferred class strength

One on one/ Private Tutions

CBSE Subjects taught

Mathematics, Science, Social science, English

Taught in School or College

No

Courses

Social Science
LIVE
10 Hours
View this Course
Social Science and English Classes
LIVE
10 Hours
View this Course
Chemistry Class 10 CBSE Chapter 3 - Metals And Non Metals
LIVE
10 Hours
View this Course
Social Science
LIVE
10 Hours
View this Course
No Reviews yet! Be the first one to Review

Answers by Aditya Kumar Srivastava (90)

Answered on 15/10/2023 Learn IT Courses/Data Science

What is the difference between batch gradient descent and stochastic gradient descent?

In batch gradient Descent, as we have seen earlier as well, we take the entire dataset > calculate the cost function > update parameter. In the case of Stochastic Gradient Descent, we update the parameters after every single observation and we know that every time the weights are updated it is known... ...more
In batch gradient Descent, as we have seen earlier as well, we take the entire dataset > calculate the cost function > update parameter. In the case of Stochastic Gradient Descent, we update the parameters after every single observation and we know that every time the weights are updated it is known as an iteration.
Answers 1 Comments
Dislike Bookmark

Answered on 15/10/2023 Learn IT Courses/Data Science

What is the curse of class imbalance, and how can it be addressed?

it can pervade systemic bias of a face recognition system. The common approach to class imbalance is resampling. These can entail oversampling the majority class, undersampling the minority class, or a combination of both.
Answers 3 Comments
Dislike Bookmark

Answered on 15/10/2023 Learn IT Courses/Data Science

What is Explainable AI (XAI), and why is it important?

Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
Answers 1 Comments
Dislike Bookmark

Answered on 15/10/2023 Learn IT Courses/Data Science

What is the difference between a validation set and a test set?

Validation set is used for tuning the parameters of a model. Test set is used for performance evaluation.
Answers 2 Comments
Dislike Bookmark

Answered on 14/10/2023 Learn IT Courses/Data Science

How do you assess the fairness and bias of machine learning models?

Examine the algorithms' ability to influence human behavior and decide whether it is biased. Then, create algorithmic methods that avoid predictive bias.
Answers 2 Comments
Dislike Bookmark

Book a Demo

Load More

Aditya Kumar Srivastava describes himself as Good teacher teaching online Class 9 and Class 10 CBSE. He conducts classes in Class 10 Tuition. Aditya Kumar is located in Rohini Sector 3, Delhi. Aditya Kumar takes Online Classes- via online medium. Aditya Kumar has completed Bachelor of Computer Applications (B.C.A.) from GGSIPU Delhi - Guru Gobind Singh Indraprastha University in 2016. He is well versed in Hindi and English.

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