Comprehensive course on Physics, Mathematics, and Science Fundamental
Àpd 26.89 € /h
This course provides an in-depth exploration of the fundamental concepts in Physics, Mathematics, and Science, tailored for students of all levels. It covers essential topics in Physics such as mechanics, electromagnetism, and thermodynamics; core areas in Mathematics like algebra, calculus, and geometry; and foundational principles of Science that include chemistry and biology. The course aims to build a strong understanding of these subjects through a balanced mix of theoretical lessons and practical exercises. Students will develop problem-solving skills and analytical thinking, preparing them for academic excellence and real-world applications. Whether you are a beginner looking to strengthen your basics or an advanced learner aiming to master these disciplines, this course offers a comprehensive guide to achieving your goals.
Informations supplémentaires
Bring your calculator, notebook, and any other study materials.
No prior experience is necessary—just a willingness to learn and explore!
No prior experience is necessary—just a willingness to learn and explore!
Lieu
Cours au domicile de l'élève :
- Autour de Riyad, Arabie saoudite
En ligne depuis Arabie saoudite
Présentation
A dedicated professional with a strong background in Computer Science and Artificial Intelligence, this individual holds a Bachelor's degree in Computer Science from Hazara University, completed in 2022. I have gained valuable experience as a university instructor, specializing in AI, with a teaching methodology that blends practical and conceptual approaches, emphasizing project-based learning and problem-solving.
My research interests include machine learning applications in sports analytics and medical imaging. Notably, my final semester research involved predicting the winner of the Pakistan Super League using machine learning, achieving an impressive 92% accuracy with a Logistic Regression Classifier. I am currently pursuing further academic growth through an MS in AI at MIT.
With a practical approach to teaching and research, this professional is actively engaged in collaborating with leading academics and experts in the field, aiming to contribute significantly to the advancement of AI and its applications.
My research interests include machine learning applications in sports analytics and medical imaging. Notably, my final semester research involved predicting the winner of the Pakistan Super League using machine learning, achieving an impressive 92% accuracy with a Logistic Regression Classifier. I am currently pursuing further academic growth through an MS in AI at MIT.
With a practical approach to teaching and research, this professional is actively engaged in collaborating with leading academics and experts in the field, aiming to contribute significantly to the advancement of AI and its applications.
Education
University: Hazara University, Mansehra, Pakistan
Degree: Bachelor of Science in Computer Science
GPA: 3.2/4.0
Year of Graduation: 2022
Notable Achievements: Conducted research on AI-based solutions and machine learning applications, specializing in sports analytics and medical imaging.
Degree: Bachelor of Science in Computer Science
GPA: 3.2/4.0
Year of Graduation: 2022
Notable Achievements: Conducted research on AI-based solutions and machine learning applications, specializing in sports analytics and medical imaging.
Expérience / Qualifications
1 year of university teaching experience in Artificial Intelligence.
4 years of academy teaching experience in Maths, Physics, and Science.
Research in machine learning for sports analytics and medical imaging.
Developed a machine learning model predicting the Pakistan Super League winner with 92% accuracy.
4 years of academy teaching experience in Maths, Physics, and Science.
Research in machine learning for sports analytics and medical imaging.
Developed a machine learning model predicting the Pakistan Super League winner with 92% accuracy.
Age
Enfants en bas âge (0-3 ans)
Enfants (4-6 ans)
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
30 minutes
45 minutes
60 minutes
Enseigné en
anglais
Compétences
Disponibilité semaine type
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Artificial Intelligence (AI) is transforming industries and reshaping how we interact with technology. This course is designed for individuals interested in understanding the fundamentals of AI, its applications, and its impact on society. Whether you're a complete beginner or have some prior knowledge, this course will provide you with a solid foundation in AI concepts and techniques.
In this course, you will learn about:
Understanding AI Fundamentals:
Explore the core principles of artificial intelligence, including machine learning, deep learning, and natural language processing.
AI Applications:
Discover how AI is being used across various sectors such as healthcare, finance, automotive, and entertainment.
Data and Algorithms:
Gain insights into the importance of data in AI and learn about the algorithms that power machine learning models.
Ethics in AI:
Discuss the ethical implications of AI technologies and their societal impact, including bias, privacy concerns, and job displacement.
Hands-On Projects:
Engage in practical exercises that will allow you to apply your knowledge by working on real-world AI projects.
In this course, you will learn about:
Understanding AI Fundamentals:
Explore the core principles of artificial intelligence, including machine learning, deep learning, and natural language processing.
AI Applications:
Discover how AI is being used across various sectors such as healthcare, finance, automotive, and entertainment.
Data and Algorithms:
Gain insights into the importance of data in AI and learn about the algorithms that power machine learning models.
Ethics in AI:
Discuss the ethical implications of AI technologies and their societal impact, including bias, privacy concerns, and job displacement.
Hands-On Projects:
Engage in practical exercises that will allow you to apply your knowledge by working on real-world AI projects.
Garantie Le-Bon-Prof





