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Chinchwad, Pune, India - 411057.
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English Proficient
MAHARASHTRA UNIVERSITY OF HEALTH SCIENCE NASHIK
2015
BHMS - Bachelors of Homeopathic Medicine & Surgery
INAMDAR INSTITUTE
2016
CCH AND CGO
Chinchwad, Pune, India - 411057
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
8
Board
CBSE, State, IGCSE, ISC/ICSE
Preferred class strength
One on one/ Private Tutions
Subjects taught
Biology
Taught in School or College
No
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 11 Tuition
8
Board
CBSE, State, IGCSE, ISC/ICSE
Preferred class strength
One on one/ Private Tutions
Subjects taught
Biology
Taught in School or College
No
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
11
Board
IGCSE, State, ICSE, CBSE
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
Science, Biology
Taught in School or College
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 9 Tuition
8
Board
IGCSE, State, International Baccalaureate, ICSE, CBSE
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
Physics, Biology, Chemistry, Mathematics, Science
Taught in School or College
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 8 Tuition
11
Board
NIOS, ICSE, DAV board, Cambridge Assessment International Education (CAIE), State, CBSE, International Baccalaureate
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
EVS, Physics, Mathematics, Manipuri, Marathi, Science, Social science, History, Biology, Computer Science, Hindi, Chemistry, Geography, English, Computers
Taught in School or College
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Medical Entrance Coaching classes
4
Teaches for following exams
NEET-PG Coaching, PMT Coaching, FMGE Coaching , AIPMT Coaching, Others, AIIMS Coaching
Type of class
Regular Classes, Crash Course
NEET PG Disciplines
Pathology, Surgery, Ent, Orthopedics & Anaesthesia, Paediatrics, Obstetrics And Gynaecology, Psychiatry, Ophthalmology, Physiology, Anatomy, Radiodiagnosis & Radiotherapy, Social And Preventive Medicine, Medicine Dermatology And Venereology
1 out of 5 1 review
LOKENDRA VERMA
"This person does not providing services after taking one month fees, and all contact number are switched off. So please beware of fraud person."
Reply by Dr Gauri
We are sorry for the inconvenience sir. But the tutor got a major road accident that time and got admitted in hospital for 2 months. In that he lost his phone as well so couldn't respond. Kindly take it into consideration and help us for starting our passion again.
1. Which school boards of Class 12 do you teach for?
CBSE, State, IGCSE and others
2. Have you ever taught in any School or College?
No
3. Which classes do you teach?
I teach Class 10 Tuition, Class 11 Tuition, Class 12 Tuition, Class 8 Tuition, Class 9 Tuition and Medical Entrance Coaching Classes.
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 8 years.
Answered 11 hrs ago Learn Artificial Intelegence
Answered 11 hrs ago Learn Artificial Intelegence
Answered 11 hrs ago Learn Artificial Intelegence
Answered 11 hrs ago Learn Artificial Intelegence
The fundamental concepts of Artificial Intelligence (AI) revolve around enabling machines to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. Key aspects include machine learning, neural networks, deep learning, and natural language processing. AI systems leverage algorithms to analyze data, identify patterns, and make predictions, often improving their performance over time through experience.
Here's a more detailed breakdown:
1. Machine Learning: This is a core AI concept where algorithms learn from data without being explicitly programmed.
Supervised Learning: Algorithms learn from labeled data to make predictions.
Unsupervised Learning: Algorithms discover patterns and structures in unlabeled data.
Reinforcement Learning: Algorithms learn through trial and error, receiving rewards or penalties for their actions.
2. Neural Networks: Inspired by the human brain, these networks consist of interconnected nodes (neurons) that process information.
Deep Learning: A type of neural network with multiple layers, enabling complex pattern recognition.
3. Natural Language Processing (NLP): Enables computers to understand, interpret, and generate human language.
Machine Translation: Translating text from one language to another.
Sentiment Analysis: Determining the emotional tone of text.
4. Computer Vision: Allows computers to "see" and interpret images.
Image Recognition: Identifying objects and scenes in images.
Facial Recognition: Identifying individuals based on facial features.
5. Algorithms: Step-by-step instructions that computers follow to perform specific tasks.
Data Processing: Algorithms are used to organize, clean, and analyze data.
Pattern Recognition: Algorithms identify patterns and trends in data.
6. Data: The fuel for AI systems, providing the information they need to learn and make predictions.
Answered 11 hrs ago Learn Artificial Intelegence
Artificial intelligence (AI) is characterized by its ability to learn, reason, solve problems, and make decisions. It also involves natural language processing, computer vision, and the ability to adapt and improve over time. AI systems can automate tasks, enhance decision-making, and improve efficiency.
Here's a more detailed look at some key characteristics:
Learning: AI systems can learn from data, identify patterns, and make predictions without explicit programming.
Reasoning: AI can analyze information, draw conclusions, and make inferences to solve problems.
Problem-solving: AI can identify problems, analyze their root causes, and propose solutions.
Decision-making: AI can make informed decisions based on data and algorithms.
Natural Language Processing (NLP): AI can understand, interpret, and generate human language.
Computer Vision: AI can "see" and interpret images and videos, recognizing objects and scenes.
Adaptability: AI systems can learn from new data and adapt their behavior to changing circumstances.
Automation: AI can automate repetitive tasks, freeing up human resources for more strategic work.
Efficiency and Speed: AI can perform tasks faster and with greater accuracy than humans.
Enhanced Decision-Making: AI can analyze large datasets and make informed decisions more quickly.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
8
Board
CBSE, State, IGCSE, ISC/ICSE
Preferred class strength
One on one/ Private Tutions
Subjects taught
Biology
Taught in School or College
No
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 11 Tuition
8
Board
CBSE, State, IGCSE, ISC/ICSE
Preferred class strength
One on one/ Private Tutions
Subjects taught
Biology
Taught in School or College
No
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
11
Board
IGCSE, State, ICSE, CBSE
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
Science, Biology
Taught in School or College
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 9 Tuition
8
Board
IGCSE, State, International Baccalaureate, ICSE, CBSE
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
Physics, Biology, Chemistry, Mathematics, Science
Taught in School or College
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 8 Tuition
11
Board
NIOS, ICSE, DAV board, Cambridge Assessment International Education (CAIE), State, CBSE, International Baccalaureate
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
EVS, Physics, Mathematics, Manipuri, Marathi, Science, Social science, History, Biology, Computer Science, Hindi, Chemistry, Geography, English, Computers
Taught in School or College
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Medical Entrance Coaching classes
4
Teaches for following exams
NEET-PG Coaching, PMT Coaching, FMGE Coaching , AIPMT Coaching, Others, AIIMS Coaching
Type of class
Regular Classes, Crash Course
NEET PG Disciplines
Pathology, Surgery, Ent, Orthopedics & Anaesthesia, Paediatrics, Obstetrics And Gynaecology, Psychiatry, Ophthalmology, Physiology, Anatomy, Radiodiagnosis & Radiotherapy, Social And Preventive Medicine, Medicine Dermatology And Venereology
1 out of 5 1 review
LOKENDRA VERMA
"This person does not providing services after taking one month fees, and all contact number are switched off. So please beware of fraud person."
Reply by Dr Gauri
We are sorry for the inconvenience sir. But the tutor got a major road accident that time and got admitted in hospital for 2 months. In that he lost his phone as well so couldn't respond. Kindly take it into consideration and help us for starting our passion again.
Answered 11 hrs ago Learn Artificial Intelegence
Answered 11 hrs ago Learn Artificial Intelegence
Answered 11 hrs ago Learn Artificial Intelegence
Answered 11 hrs ago Learn Artificial Intelegence
The fundamental concepts of Artificial Intelligence (AI) revolve around enabling machines to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. Key aspects include machine learning, neural networks, deep learning, and natural language processing. AI systems leverage algorithms to analyze data, identify patterns, and make predictions, often improving their performance over time through experience.
Here's a more detailed breakdown:
1. Machine Learning: This is a core AI concept where algorithms learn from data without being explicitly programmed.
Supervised Learning: Algorithms learn from labeled data to make predictions.
Unsupervised Learning: Algorithms discover patterns and structures in unlabeled data.
Reinforcement Learning: Algorithms learn through trial and error, receiving rewards or penalties for their actions.
2. Neural Networks: Inspired by the human brain, these networks consist of interconnected nodes (neurons) that process information.
Deep Learning: A type of neural network with multiple layers, enabling complex pattern recognition.
3. Natural Language Processing (NLP): Enables computers to understand, interpret, and generate human language.
Machine Translation: Translating text from one language to another.
Sentiment Analysis: Determining the emotional tone of text.
4. Computer Vision: Allows computers to "see" and interpret images.
Image Recognition: Identifying objects and scenes in images.
Facial Recognition: Identifying individuals based on facial features.
5. Algorithms: Step-by-step instructions that computers follow to perform specific tasks.
Data Processing: Algorithms are used to organize, clean, and analyze data.
Pattern Recognition: Algorithms identify patterns and trends in data.
6. Data: The fuel for AI systems, providing the information they need to learn and make predictions.
Answered 11 hrs ago Learn Artificial Intelegence
Artificial intelligence (AI) is characterized by its ability to learn, reason, solve problems, and make decisions. It also involves natural language processing, computer vision, and the ability to adapt and improve over time. AI systems can automate tasks, enhance decision-making, and improve efficiency.
Here's a more detailed look at some key characteristics:
Learning: AI systems can learn from data, identify patterns, and make predictions without explicit programming.
Reasoning: AI can analyze information, draw conclusions, and make inferences to solve problems.
Problem-solving: AI can identify problems, analyze their root causes, and propose solutions.
Decision-making: AI can make informed decisions based on data and algorithms.
Natural Language Processing (NLP): AI can understand, interpret, and generate human language.
Computer Vision: AI can "see" and interpret images and videos, recognizing objects and scenes.
Adaptability: AI systems can learn from new data and adapt their behavior to changing circumstances.
Automation: AI can automate repetitive tasks, freeing up human resources for more strategic work.
Efficiency and Speed: AI can perform tasks faster and with greater accuracy than humans.
Enhanced Decision-Making: AI can analyze large datasets and make informed decisions more quickly.
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