I studied in depth how to be successful in my PhD applications and it paid off: I got admitted to Stanford, University of Washington, UCL, CMU, and NYU. This blog post is a mish-mash of how to proceed in your PhD applications from A to Z. It discusses what is important and what is not. It discusses application materials like the statement of purpose (SoP) and how to make sense of these application materials. There are some excellent sources out there on this topic and it is worth stopping for a second and understand what this blog post will give you and what other sources can give you. This blog post is mainly focused on PhD applications for deep learning and related fields like natural language processing, computer vision, reinforcement learning, and other sub-fields of deep learning. This blog post assumes that you already have a relatively strong profile, meaning you probably have already one or multiple publications under your belt and you worked with more than one person on research. This blog post is designed to help you optimize your chance for success for top programs.

They are offered by Princeton, Georgia Tech, Harvard, Columbia, Stanford, and Penn State.

Artificial intelligence is poised to become one of the most disruptive technologies of the century. A new study of the top graduate programs for artificial intelligence, part of the closely watched U.S. News & World Report rankings, reveals which universities are poised to lead this revolution. The University of Washington's inclusion in to the top 5 suggests Seattle is rising as an AI hub to rival Silicon Valley. CMU and MIT's robust computer science and engineering departments make them unsurprising leaders in the field. U.S. News ranked artificial intelligence programs as part of its broader set of reports on the top graduate programs in the nation.

Whether consciously or unconsciously, everybody is influenced by some degree of bias. When it comes to hiring and recruiting, that bias can become a big problem. Finding the right person for a job -- someone who matches your team's values, has the right qualifications, and wants the position -- can be very difficult. On average, every corporate job receives about 250 resumes; that is a significant number of people to sort through and compare. Add unconscious bias into the mix, and you have qualified candidates who may be ignored and companies missing out on diverse talent, proven to make companies more innovative.

In 2017, artificial intelligence will play a big role in HR. It's a complete evolution that will help HR face challenges facing leadership and talent management now. Like the cloud, it's a technological sea-change when we really need it. But in HR we're not sure what to do with it yet -- so I'm here to help. The world of work is marked by profound disruptions right now.

In 2017, artificial intelligence will play a big role in HR. It's a complete evolution that will help HR face challenges facing leadership and talent management now. Like the cloud, it's a technological sea-change when we really need it. But in HR we're not sure what to do with it yet -- so I'm here to help. The world of work is marked by profound disruptions right now.