This document announces three professional development opportunities for science teachers offered by Lehman College in the summer of 2016. Track 1 focuses on practical integration of technology in the science classroom and explores how computers and mobile devices can support project-based learning and implement Next Generation Science Standards. Track 2 is an introduction to computer coding with Scratch and will prepare teachers to lead coding courses. Track 3 is a grantsmanship workshop to help teachers acquire skills to successfully solicit funding to support STEM instruction.
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you’ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You’ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.
Learn more about the book here: https://www.manning.com/books/machine-learning-bookcamp
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you’ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You’ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.
Learn more about the book here: https://www.manning.com/books/machine-learning-bookcamp
Artificial Intelligence (AI) refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making; it is inspired by the ways people use their brains to perceive, learn, reason out and decide the action. Especially, AI makes a lot of footprints in education such as automated feedback, Intelligent tutoring, learning analytics, virtual agents, virtual reality, and an online proctored examination. This presentation describes the concept of Artificial intelligence and its pedagogical practices.
Artificial Intelligence (AI) refers to the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem solving and decision making; it is inspired by the ways people use their brains to perceive, learn, reason out and decide the action. Especially, AI makes a lot of footprints in education such as automated feedback, Intelligent tutoring, learning analytics, virtual agents, virtual reality, and an online proctored examination. This presentation describes the concept of Artificial intelligence and its pedagogical practices.
