Ayush - Computer skills tutor - Delhi
Ayush - Computer skills tutor - Delhi

Ayush's profile, diploma and contact details have been verified by our experts

Ayush

  • Rate €3
  • Response 1h
  • Students

    Number of students Ayush has accompanied since arriving at Superprof

    31

    Number of students Ayush has accompanied since arriving at Superprof

Ayush - Computer skills tutor - Delhi
  • 5 (5 reviews)

€3/h

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  • Computer Skills
  • Computer Science
  • Machine learning

Expert Machine Learning Instructor: Mastering Concepts and Assignments with Precision | Python | Deep Learning

  • Computer Skills
  • Computer Science
  • Machine learning

Lesson location

Super tutor

Ayush is one of our best Computer skills tutors. High-quality profile, verified qualifications, a quick response time, and great reviews from students!

About Ayush

Welcome to my machine learning classes! I am incredibly excited to embark on this learning journey with you. As your instructor, I bring a wealth of knowledge, experience, and dedication to the table, all aimed at ensuring your success in mastering machine learning concepts and techniques. With a solid background in machine learning and a passion for teaching, I am committed to providing you with the highest quality education possible. My approach is rooted in clarity, engagement, and practical application, designed to empower you with the skills and confidence needed to excel in this dynamic field. Rest assured, I hold myself to the highest standards of professionalism and integrity. I am here not only to teach but also to support and guide you every step of the way. Whether you're a seasoned professional or just starting your journey in machine learning, my goal is to inspire trust, establish legitimacy, and assure you that you're in good hands. I invite you to join me in this exciting adventure of learning and discovery. Together, let's unlock the endless possibilities of machine learning and unleash your full potential. Get ready to embark on a transformative learning experience that will shape your future in profound ways. I can't wait to meet you and embark on this exhilarating journey together!

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About the lesson

  • Primary
  • Junior Cycle
  • Transition Year
  • +14
  • levels :

    Primary

    Junior Cycle

    Transition Year

    Fifth Year

    Sixth Year

    Adult education

    Bachelor's degree

    Master's degree

    Diploma

    Doctorate degree

    Other

    Barrister-at-law degree

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

As a machine learning teacher, my approach focuses on fostering a deep understanding of core concepts while providing practical hands-on experience to reinforce learning. Here's how I typically structure my classes and share knowledge:

Teaching Techniques and Methods:

1. Conceptual Clarity: I believe in breaking down complex machine learning concepts into digestible chunks, using clear explanations and real-world examples to illustrate each concept's significance and application.

2.Interactive Learning: I incorporate interactive elements such as discussions, Q&A sessions, and group activities to encourage active participation and engagement among students.

3. Practical Application: I emphasize the importance of practical application by guiding students through coding exercises, projects, and real-world case studies. This hands-on approach helps solidify theoretical knowledge and builds essential problem-solving skills.

4. Adaptive Teaching: Recognizing that different students have varied learning styles and paces, I adapt my teaching methods to cater to diverse needs, offering additional resources and personalized guidance when necessary.

Usual Structure of a Class:

1. Introduction: I begin each class with a brief overview of the topics to be covered, setting clear learning objectives for the session.

2. Concept Exploration: I delve into the core concepts of machine learning, explaining fundamental algorithms, techniques, and methodologies using visual aids, analogies, and practical examples.

3. Hands-on Practice: Following the theoretical discussion, I lead students through coding exercises or demonstrations using popular machine learning libraries such as TensorFlow or scikit-learn.
4. Application Discussion: I encourage students to discuss and brainstorm potential real-world applications of the concepts learned, fostering critical thinking and creativity.

5. Recap and Q&A: I conclude each class with a recap of key takeaways and open the floor for any remaining questions or clarifications.

Special Features as a Teacher:

1. Personalized Feedback: I provide constructive feedback on assignments and projects, offering individualized guidance to help students improve their understanding and skills.

2. Accessibility: I make myself accessible outside of class hours through email or virtual office hours, ensuring students have ample support and assistance whenever needed.

3. Continuous Learning: I stay updated with the latest advancements in machine learning and pedagogical approaches, incorporating relevant updates into my teaching materials and methodologies.

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Rates

Rate

  • €3

Pack prices

  • 5h: €17
  • 10h: €34

online

  • €3/h

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