Today’s technology has spawned new models of learning. It is imperative that we leverage these new models to have engaged students working towards relevant and productive learning. It should empower the learners by enhancing their analytical, problem-solving, and creative competencies, allowing them to grow into self-driven adults
Our Course Offerings
You discovering You – IQ, Aptitude, Creative, Thinking
Personalized – Based on areas of weakness
Life skills exercises
Communication skills – written and verbal
Making learning fun – standup comedian
Academics – Based on areas of interest
Not only will we teach you the technical foundations of machine learning, we will also teach you entrepreneurship.
Entrepreneurship is taking control of your own life, making your own contributions, being a leader and executing on a vision and/ or a dream.
Why these two fields? Because we want you to teach ‘Problem solution based learning’. Problem solving is a closely related to entrepreneurship.
Students will learn life skills of communication, leadership, creativity, problem solving, and organizational planning.
Definition of entrepreneurship and small business
Past and present entrepreneurship environment
Turning an idea into a business
Plan, obtaining funding, productizing, legal structure, marketing, monetization
Case Study: Productize an idea
Machine Learning is a new exciting field that will revolutionize your life and everyone else’s!
Image it’s 1996 and the Internet is just invented. Look around you to see the explosion of jobs, opportunities, fun and growth unleashed by the internet! Machine learning is the internet in 1996!!!!
Don’t be left behind! If you are a young professional or student, get in on the ground floor, NOW! Get into the elevator before the door closes.
This is your time to act!
Python language and basics
Case Study 1 – Predicting House Prices. Method – regression
Case Study 2 – Restaurant Reviews – Sentiment analysis. Method – classification
Case Study 3 – Document retrieval task – article or book we can – structure based on groups. Method – clustering
Case Study 4 – product recommendation based on purchase history yours and others, create matrix of customers and products. matrix factorization – features about filtering.
Case Study 5 – Visual product recommender (e.g. black shoe and show other items similar ). Deep learning, layers,
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Educated Globe’s goal is to provide an environment that goes beyond the pedagogic stereotypes and conventions to provide learners with an effective and outcome-oriented learning environment to achieve their full potential and ethereal. We push the students to go beyond the factual and other core curricular learning and think in terms of concepts and ideas.