One additional note: unlike the wall-of-equations that make up most machine learning papers, the IML literature is profoundly inviting and largely friendly to non-experts. I encourage you to dive into the original papers wherever a particular topic piques your interest. I've gathered links to all of the papers in Knox's syllabus here to make doing so especially convenient.

Here are upcoming meetings and conferences, for July 2016 and beyond. Save 10% with the KDNUGGETS registration code. Aug 29 - Sep 1, Image Processing, Computer Vision and Machine Learning based on Optimization and PDE. Use code CDOINSUR to save 10% on registration. Sep 23, MLconf Atlanta Machine Learning Conference - mention "KDNuggets" and save 18%.

About 20,000 packages an hour are sorted by machine at JD.com's largest robot-run warehouse in Shanghai, China. The company has three million orders a year ranging from smartphones and televisions to nappies. BBC Click's Dan Simmons finds out how the company can deliver items within a few hours and sometimes within minutes.

Bots have officially taken over, and they're about to make our lives a whole lot easier. In April, Facebook introduced bots for Messenger, but the world's most popular social media platform is not the only company to open a "bot store" with consumer functions, and virtual assistants like Amazon's Alexa are steadily increasing in both popularity and functionality. With Kik, you can chat with Michelangelo and see the climate conditions through Yahoo! With Operator, shopping is as easy as sending a text, and Pana, the online travel agency, turns a simple chat conversation via text into real bookings. In fact, everyone from 1–800-Flowers and the NBA to Taco Bell is jumping on the chatbot bandwagon.

In the not-so-distant future, children will be amazed by stories that we allowed relative strangers to steer one tonne machines, relying on human skill and instinct over the capabilities of computers. The field of artificial intelligence has a transformative capability over many things that govern our daily lives. Consider self-driving cars: about 33,000 people are killed in automobile accidents in the US every year and most fatalities can be traced back to humans. Companies across technology and automobile industries are pouring millions of dollars into using AI to drive new breakthroughs in this field. Already, cars by Tesla have limited self-drive capabilities and we will soon see this rapidly increasing.

While running a digital marketing agency, Neerav Parekh regularly updated his clients on their campaign performance with reports and charts that were carefully put together. However, the clients were quickly snowed under the blizzard of data, and inevitably demanded that account managers personally visit them and take them through these reports. This was a laborious process and, rather than plod through it repeatedly, Parekh, a serial entrepreneur, turned to artificial intelligence (AI), the science of trying to make computers think and act like humans, for a solution. His product, Phrazor, is aimed at automating the process of interpreting data and communicating insights. Having used Phrazor for his agency, Parekh has now sought to extend the reach of his product.

JUDY WOODRUFF: Today, the Obama administration revealed new information that sheds light on the reality of modern warfare, the number of civilians accidentally killed in U.S. airstrikes. JOHN YANG: Today's release is the first time the White House has said how many terrorists and innocent civilians it believes have been killed by airstrikes, including by drones. Between 2009 and 2015, the administration says it launched 473 airstrikes in Pakistan, Yemen and Africa. It estimates that as many as 2,581 combatants, and as many as 116 noncombatants were killed. Now, these numbers do not include airstrikes in Iraq, Afghanistan or Syria, what the administration calls areas of active hostilities. A new executive order has also been issued, with the aim of decreasing the number of civilian deaths.

BMW CEO Krueger has made the boldest promise of any automotive brand about selfSelf-Driving Cars and the Looming Privacy Apocalypse. When he inherited the post, the company had enjoyed 10 hugely successful years following the Strategy NumberCube26: Driving the next wave of innovation. Read more ... » One plan created by his predecessor, Norbert Reithofer. Krueger arrived right as BMW and the overall industry found itself at a crossroads. First, the tremendous growth in sales and profits in China has disappeared so much so that BMW was forced to provide financial relief for dealers who had never before experienced sluggish demand in new car sales.

We are a team of scientists, engineers, designers, and developers with offices in London and Boston and together we've developed the DESKGEN platform for CRISPR genome editing. Founded in 2012, Desktop Genetics is venture backed by some of the UK's leading life science thought leaders and supports customers in the UK, USA, Japan, and beyond. As a Machine Learning (AI) Scientist, you'll work to translate the latest CRISPR research into software that powers the experiments of thousands of labs. The application of artificial intelligence to genomics is a rapidly evolving field currently at the forefront of research. The work is highly interdisciplinary and successful candidates will have experience or advanced training in aspects of computer science, data science, engineering, biology, statistics, mathematics, or machine learning.

Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let's start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as "something used for automated data transmission and measurement between mechanical or electronic devices."