Autonomous Vehicles: Instructional Materials


Ensemble Machine Learning in Python: Random Forest, AdaBoost

#artificialintelligence

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.


Data Science: Supervised Machine Learning in Python

#artificialintelligence

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.


Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence

#artificialintelligence

From self-driving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn the mathematics behind machine learning to enter the exciting fields of data science and artificial intelligence? There aren't many resources out there that give simple detailed examples and that walk you through the topics step by step. This ebook not only explains what kind of math is involved and the confusing notation, it also introduces you directly to the foundational topics in machine learning. This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics and dispelling the belief that machine learning is complicated, difficult, and intimidating.


Machine Learning Coursera

#artificialintelligence

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.


MIT faculty approves new urban science major

MIT News

Urban settlements and technology around the world are co-evolving as flows of population, finance, and politics are reshaping the very identity of cities and nations. Rapid and profound changes are driven by pervasive sensing, the growth and availability of continuous data streams, advanced analytics, interactive communications and social networks, and distributed intelligence. At MIT, urban planners and computer scientists are embracing these exciting new developments. The rise of autonomous vehicles, sensor-enabled self-management of natural resources, cybersecurity for critical infrastructure, biometric identity, the sharing or gig economy, and continuous public engagement opportunities through social networks and data and visualization are a few of the elements that are converging to shape our places of living. In recognition of this convergence and the rise of a new discipline bringing together the Institute's existing programs in urban planning and computer science, the MIT faculty approved a new undergraduate degree, the bachelor of science in urban science and planning with computer science (Course 11-6), at its May 16 meeting.


Ever wanted to teach yourself AI? Here's 22 online classes from Stanford to MIT

#artificialintelligence

For some us, AI is kind of an iffy proposition. To many, it is nebulous enough to seem like it might replace us or our jobs. And the harbingers of this sea change aren't exactly affirming: every other week in the news, self-driving smart cars keep crashing, with injuries and sometimes fatalities. AI generally doesn't seem to be that well-received in mass media, either, like in movies like Minority Report or TV shows like Westworld. Because of all this, the public perception of AI might be on the negative side.


The Biggest Hurdle to Building AI Apps, And How to Fix It!

#artificialintelligence

Building apps for cloud is a thing of the past. Yes, the new wave is Artificial Intelligence (AI) and machine learning. Unfortunately, AI apps that happen to learn from the experiences are lagging way behind when compared to self-driving cars and their evolvement. Since the whole concept of AI revolves around making life easier for the user, the same rule of thumb applies to artificial intelligence apps. Developers are perplexed about what exactly goes into developing such apps.


Data Science: Supervised Machine Learning in Python

@machinelearnbot

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.


Building Advanced OpenCV3 Projects with Python Udemy

@machinelearnbot

OpenCV is a native cross-platform C library for Computer Vision, Machine Learning, and image processing. It is increasingly being adopted for development in Python. This course features some trending applications of vision and deep learning and will help you master these techniques. You will learn how to retrieve structure from motion (sfm) and you will also see how we can build an application to capture 2D images and join them dynamically to achieve street views by capturing camera projection angles and relative image positions. You will also learn how to track your head in 3D in real-time, and perform facial recognition against a goldenset.


Here's how you can master AI & machine learning for just $39

#artificialintelligence

Ideal for the aspiring developer, this collection boasts more than 30 hours of training on the technology that powers today's AI breakthroughs. Make your way through each of the four courses, and you'll foster new, practical knowledge in machine learning algorithms, AI applications, and more. Artificial Intelligence & Machine Learning Training -- This course offers a solid introduction to the current and potential applications of AI. You'll learn the basic ideas and techniques used in the design of intelligent computer systems, and, once you have your feet wet, you'll advance to statistical and decision-theoretic modeling paradigms, deep learning, and a host of other advanced topics. Introduction to Machine Learning -- In just two hours, this course will walk you through machine learning, the technology that powers self-driving cars, search engines, and more of today's AI breakthroughs.