Lincoln - JavaScript teacher - Novi
Lincoln - JavaScript teacher - Novi

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

Lincoln

  • Rate L819
  • Response 1h
  • Students

    Number of students Lincoln has accompanied since arriving at Superprof

    50+

    Number of students Lincoln has accompanied since arriving at Superprof

Lincoln - JavaScript teacher - Novi
  • 4.9 (5 reviews)

L819/hr

Contact
  • JavaScript
  • Artificial Intelligence

Automation engineer, software developer, and University of Michigan (Ann Arbor) physics student teaches the basics of AI development and machine learning technologies.

  • JavaScript
  • Artificial Intelligence

Lesson location

Super Prof

Lincoln is one of our best Javascript tutors. They have a high-quality profile, verified qualifications, a quick response time, and great reviews from students!

About Lincoln

I am a seasoned software developer and passionate tutor specializing in computer science and cutting-edge technologies. With extensive experience mentoring students at the beginner level, I make complex concepts accessible and engaging. My expertise spans integrating AI into web applications and developing machine learning models from the ground up, ensuring both theoretical understanding and practical application. My mission is to empower learners to excel in computer science and stay ahead in the evolving tech landscape.

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About the lesson

  • Primary
  • Lower Secondary
  • Senior Secondary
  • +12
  • levels :

    Primary

    Lower Secondary

    Senior Secondary

    Post Secondary Education

    Higher Education

    Adult Education

    Master's Degree

    Doctorate

    MBA

    Early Childhood Care & Development

    Beginner

    Intermediate

    Advanced

    Professional

    Children

  • English

All languages in which the lesson is available :

English

Teaching Method & Techniques

My approach is built on practical, hands-on learning. I focus on breaking down complex AI and ML concepts into digestible parts and illustrating them with real-world examples. By encouraging active participation—through coding exercises, mini-projects, and Q&A sessions—students gain a deeper grasp of the subject. I also use a variety of resources, such as interactive simulations and curated reading materials, to cater to different learning styles (visual, auditory, or kinesthetic).

Typical Lesson Plan

Introduction & Objectives: We begin each session by reviewing the previous lesson and setting clear goals for the new topic.
Core Concepts: I present the theory behind a concept (e.g., neural networks, supervised vs. unsupervised learning) using concise explanations and diagrams.
Hands-On Application: Students apply the theory in real time, coding solutions or experimenting with pre-built tools.
Project Discussion: We then relate the lesson to an ongoing project or scenario, ensuring students understand how to incorporate new knowledge in a practical setting.
Q&A and Recap: The session ends with addressing queries and summarizing key takeaways, reinforcing retention and paving the way for the next topic.

With this approach, you’ll not only learn the principles of AI and ML but also gain the practical skills and confidence to apply them in real-world scenarios

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Rates

Rate

  • L819

Pack prices

  • 5h: L4,095
  • 10h: L8,191

Travel

  • + L50

online

  • L819/h

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