1. What is Lambda School

• Intensive training
• 45 * 26 hours
• 15 * 52 hours
• Application over Theory
• Educational models

2. Who am I
3. What is the Machine Learning Course

• A wide spectrum of topics in ML, AI, and data science
• A focus on personal presentation and knowledge
• A ML framework for producing results for businesses
• A set of skills to compete in the ML world
• A set of demos to showcase those skills

3. What is Machine Learning (ML)

• ML is applied mathematics
• ML is using numerical techniques to produce hidden information
• ML is making predictions on data too vast for a human to analyzE
• ML is data intuition, preparation, and sharing

4. What will I be teaching during the ML course

• High level ML syllabus discussion
• Computer science
• Personal presentations
• Advanced computer operation in support of ML

5. What's the point of learning ML

• In demand
• Producing more results than before
• Many big names say it is only going to get more important

6. How do we get started?

Write Why.md, commit it to this repository, and push. Send me a pull request to the original repository.

Why.md

You must answer the following question: Why do you want to learn Machine Learning?

The following questions are to help you plan your response, but specifically addressing each question is not required. What is exciting about ML? What do you think the best job opportunities are in ML? What do you think you need to do to make yourself employable in ML? What dangers are there in studying ML? Are the moral or ethical considerations that you will be responsible for?