Learning Management
The Art of Learning Data Science – Aparna C Shastry – Medium
These days, I am sure 90% of LinkedIn traffic contains one of these terms: DS, ML or DL -- acronyms for Data Science, Machine Learning or Deep Learning. Beware of the cliche though: "80% of all the statistics are made on the spot". If you blinked on these acronyms perhaps you need to google a bit and then continue reading the rest of this post. This post has 2 goals. First, it attempts to put all the fellow Data Science learners at ease.
Top 10 Free Deep Learning Massive Open Online Courses
To compile this list, we explored deep learning MOOCs (Massive Open Online Courses) published by top universities, colleges, and leading tech companies. Dedicated to beginners, intermediate, and advanced learners, and covering most concepts of Deep Learning, from the most basic to the cutting-edge, all of these courses are free and self-paced, and some of them even offer certificates. It goes without saying that all of these courses come with some prerequisites: basic knowledge of mathematics, how to manipulate GitHub repositories, and a good command of programming languages like Python. Google has published an online course dedicated to deep learning via Udacity, the online course platform. Google's MOOC trains intermediate to advanced developers free of charge for 12 weeks on many aspects of deep learning, such as how to build and optimize deep neural networks.
AI veteran Andrew Ng just can't stop launching new companies
Unlike tennis balls and musketeers, AI ventures don't typically come in threes. The former AI leader at both Google and Baidu has been on an entrepreneurial spree, making his third major announcement in recent months to launch Landing.ai. The startup will help make large manufacturing companies more efficient by using artificial intelligence, according Ng's blog post today (Dec. He also serves as chairman of Coursera, the online education company he cofounded in 2012. Ng writes that his startup and Foxconn will "jointly develop and deploy AI solutions and training globally."
RE-WORK . FOURTH GLOBAL MACHINE INTELLIGENCE SUMMIT 28 - 29 JUNE 2017 @teamrework Amsterdam
Hoy traemos a este espacio al FOURTH GLOBAL MACHINE INTELLIGENCE SUMMIT, que tedrá lugar el 28 - 29 JUNE 2017 en Amsterdam Informar de un error de Maps Postillion Convention Centre Amsterdam Paul van Vlissingenstraat 8 The Postillion Convention Centre Amsterdam is very conveniently located between the city and the arterial roads and 20 minutes from Amsterdam Airport Schiphol. TOPICS WE COVER NATURAL LANGUAGE PROCESSING INDUSTRIAL AUTOMATION Where machine learning meets artificial intelligence. The rise of intelligent machines to make sense of data. The Machine Intelligence Summit: where machine learning meets artificial intelligence. The rise of intelligent machines to make sense of data in the real world.
How machine learning creates new professions -- and problems
Give us your feedback Thank you for your feedback. It is not often that a new profession springs up almost overnight. It is also unusual for many of the people who find their way into this new field to do it without the formal training provided by the normal institutions of higher education. Machine learning, as well as the allied field of data science, is developing in a way that looks unlike most other professional career paths that preceded it. It represents both one of the most promising employment opportunities of the next few years and a model for how people entering the workforce today adapt to changes in employment demands in future.
This Week in Machine Learning, 4 December 2017 – Udacity Inc – Medium
Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments. New posts will be published here first, and previous posts are archived on the Udacity blog.
How machine learning creates new professions -- and problems
Give us your feedback Thank you for your feedback. It is not often that a new profession springs up almost overnight. It is also unusual for many of the people who find their way into this new field to do it without the formal training provided by the normal institutions of higher education. Machine learning, as well as the allied field of data science, is developing in a way that looks unlike most other professional career paths that preceded it. It represents both one of the most promising employment opportunities of the next few years and a model for how people entering the workforce today adapt to changes in employment demands in future.
Why learn Python? – Udacity India – Medium
Did you know Python is the most popular language in the Data Science and Machine Learning Market? Easy and versatile, Python is a first step in many new age technologies like Machine Learning, Data Science, Deep Learning, and Artificial Intelligence. Our newly-launched Python Foundation Nanodegree would prepare with everything you need to become a Python expert.
Augmented Intelligence, Not Artificial Intelligence: E-learning's Game-Changer - e-Learning Feeds
Artificial intelligence is a term that comes with a lot of baggage, thanks to popular culture. From Asimov to Westworld, machines that act and think like humans are a mainstay in science fiction. In reality, however, there are limits to what artificial intelligence can do: machines don't make good decisions on their own, and they're not creative. Examples of the limitations of AI abound: Last year, for example, trolls corrupted Tay, Microsoft's Twitter bot, so badly she had to be taken offline. This month an AI is trying (and failing) to write the first sentence of a novel.