Data Mining with R: Go from Beginner to Advanced!


This is a "hands-on" business analytics, or data analytics course teaching how to use the popular, no-cost R software to perform dozens of data mining tasks using real data and data mining cases. It teaches critical data analysis, data mining, and predictive analytics skills, including data exploration, data visualization, and data mining skills using one of the most popular business analytics software suites used in industry and government today. The course is structured as a series of dozens of demonstrations of how to perform classification and predictive data mining tasks, including building classification trees, building and training decision trees, using random forests, linear modeling, regression, generalized linear modeling, logistic regression, and many different cluster analysis techniques. The course also trains and instructs on "best practices" for using R software, teaching and demonstrating how to install R software and RStudio, the characteristics of the basic data types and structures in R, as well as how to input data into an R session from the keyboard, from user prompts, or by importing files stored on a computer's hard drive. All software, slides, data, and R scripts that are performed in the dozens of case-based demonstration video lessons are included in the course materials so students can "take them home" and apply them to their own unique data analysis and mining cases.

'Feel' your drone with MotionPilot's haptic joystick


Flying a drone isn't as easy as it looks, as any beginner who has ever purchased one of the pricey things and then immediately crashed it can attest. A startup called MotionPilot wants to help beginners and pros alike with a joystick that makes it more intuitive and tactile at the same time. The device, still in a prototype stage, has motion sensors that let you maneuver a drone just by rotating and tilting your hand, while haptics let you feel it turn and accelerate. MotionPilot, founded by four grad students from France's École polytechnique fédérale de Lausanne (EFPL), says the joystick's hand gesture control are so intuitive that beginning pilots can learn to fly "in a few seconds." To maneuver, you just lean the device forward or sideways, while using a trigger to change altitude.

A crash course in neural networks for beginners


What is machine learning / ai? How to learn machine learning in practice? Neural Networks (often referred to as deep learning) are particular interesting. But there are a few questions. To answer these questions and give beginners a guide to really understand them, I created this interesting course.

How to Start Learning Deep Learning


This post was written by Ofir Press. Ofir is a graduate student at Tel-Aviv University's Deep Learning Lab. His main focus is on using deep learning for natural language processing. "Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, object detection and Go), deep learning has become extremely popular. This post aims to be a starting point for those interested in learning more about it.

Deep Learning Cheat Sheet for Beginners


This article was written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. It consists of summaries, dozens of formulas, and numerous small sections that will help the beginner quickly grasp the essential of deep learning. To read the full original article click here. For more deep learning related articles on DSC click here.

UVify's Oori is a 60MPH micro drone that leaves others in the dust


At last year's CES, drone newcomer UVify made a splash with its speedy Draco racing quad. So much so, we awarded it the "Best Drone" in the official Best of CES awards. This year, the team is back with a new quadcopter called Oori, and it promises to be just as much fun. Like Draco before it, the focus here is speed, with the needle topping reaching an impressive 50-plus miles an hour. As a micro-quad, Oori is much smaller than Draco -- it'll fit in the palm of your hand.

How neural networks work - a glimpse into math for beginners


What is machine learning / ai? How to lean machine learning in practice? Some people conceive it the "steam engine" of our century and one thing is certain: It will drastically change the world. Neural Networks (often referred to as deep learning) are particular interesting. But there are several questions to answer.

A Beginner's Guide to AI/ML – Machine Learning for Humans – Medium


This guide is intended to be accessible to anyone. Basic concepts in probability, statistics, programming, linear algebra, and calculus will be discussed, but it isn't necessary to have prior knowledge of them to gain value from this series. Artificial intelligence will shape our future more powerfully than any other innovation this century. Anyone who does not understand it will soon find themselves feeling left behind, waking up in a world full of technology that feels more and more like magic. The rate of acceleration is already astounding.

Which Machine Learning Algorithm Should I Use?


This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?" Even an experienced data scientist cannot tell which algorithm will perform the best before trying different algorithms. We are not advocating a one and done approach, but we do hope to provide some guidance on which algorithms to try first depending on some clear factors. The machine learning algorithm cheat sheet helps you to choose from a variety of machine learning algorithms to find the appropriate algorithm for your specific problems.