With Artificial Intelligence (AI) now being seen as an essential tool in various sectors, it is important for our generation to incorporate innovative dynamic learning needs into our global education system. But when cutting-edge sectors evolve at lightning pace, it is not always possible for traditional sectors to change at the same speed. My company, Gravity4, has been intensively exploring Deep Learning in our development lab to advance our understanding with the ad technology platforms. Recently, I did a mentorship series with the youth in a struggling education system. The fascination of all great things possible, through the cutting edge revolution of AI, bought much energy in the room.

About this course: 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.

Raising capital is like playing a game of chess with a grand master. Every conversation is a strategic move to position your startup as an awesome investment. To win the game and get a'yes,' you have to tell investors exactly what they need to hear. Here's the dirty secret: how you describe your business makes a lot of difference. There are ways to make a bad idea sound far better than it really is.

In the fall of 2016, the citizens of the United States became fed up and made a decision that was heard around the world. While not all states felt the same way about this decision, it was pretty clear that it was time for some real change. The last 8 years had been an utter disappointment, full of the some of the most mindless inane drivel the world has ever seen, making people truly question if the United States was really the great nation that it thought it was. Then, last fall, it finally happened. On or around October 9th, the citizens of the United States of America collectively became more interested in artificial intelligence than Kim Kardashian's net worth.

Machine learning features in X-Pack let you automate the task of detecting anomalies in time series data. In the first video in this tutorial series, we show you how to detect anomalies in single univariate time series via a single metric job type. Download the example from GitHub to try this out on your machine.

For this guide, I spent a dozen hours trying to identify every online machine learning course offered as of May 2017, extracting key bits of information from their syllabi and reviews, and compiling their ratings. My end goal was to identify the three best courses available and present them to you, below. For this task, I turned to none other than the open source Class Central community, and its database of thousands of course ratings and reviews.

At universities, "people learn how to approach new things, ask questions and find answers, deal with new situations," wrote Uta Russmann, a professor of communications at the FHWien University of Applied Sciences in Vienna. "All this is needed to adjust to ongoing changes in work life. Special skills for a particular job will be learned on the job." Schools will also need to teach traits that machines can't yet easily replicate, like creativity, critical thinking, emotional intelligence, adaptability and collaboration. The problem, many respondents said, is that these are not necessarily easy to teach.

OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborate more efficiently. In this paper, we present an R package to interface with the OpenML platform and illustrate its usage in combination with the machine learning R package mlr. We show how the OpenML package allows R users to easily search, download and upload data sets and machine learning tasks. Furthermore, we also show how to upload results of experiments, share them with others and download results from other users. Beyond ensuring reproducibility of results, the OpenML platform automates much of the drudge work, speeds up research, facilitates collaboration and increases the users' visibility online.

This course shows you how to accomplish some common NLP (natural language processing) tasks using Python, an easy to understand, general programming language, in conjunction with the Python NLP libraries, NLTK, spaCy, gensim, and scikit-learn. The course is designed for basic level programmers with or without Python experience. Jonathan Mugan is CEO and co-founder of DeepGrammar, a natural language processing company. Jonathan has a PhD in computer science from the University of Texas, and has been working in AI and machine learning since 2003. He describes his research focus as "making the squishy reality of our everyday world available to computation."

Accelebrate's Python data science training course teaches data scientists, statisticians, and other quantitative professionals the Python skills they need to use Python to analyze and chart data. Please contact us for a quote and to see how we can customize a private, onsite Python class for your team.