I have a background in Computer Science and worked with nearly every programming language on the planet. I graduated with highest distinction during my masters program. I've worked on projects ranging from Robotics, Web Apps, Mobile Apps to Embedded Systems. These courses will help you achieve your goals.

I've split this post into four sections: Machine Learning, NLP, Python, and Math. For future posts, I may create a similar list of books, online videos, and code repos as I'm compiling a growing collection of those resources too. What's the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?

Which machine learning algorithm should I use?

As banks and other financial services companies seek to improve compliance management systems, many are considering the use of algorithmic and other artificial intelligence (AI) solutions to augment or replace current systems. AI-driven RegTech has the potential to revolutionize all facets of compliance management: AML, OFAC, regulatory reporting, risk management, and cybersecurity. However, to develop and implement an AI-based compliance system, institutions need to map out a planned approach, which requires careful analysis of several threshold issues. This webinar features legal professionals at the leading edge of AI, data, privacy and cybersecurity law along with senior compliance officers from banks that are advancing compliance technology. They will discuss the legal and compliance questions that banks and financial services companies should consider, with a view to understanding both the risks and opportunities presented by AI-driven RegTech initiatives.

Since it was announced earlier this month, iOS 11 has attracted a lot of attention. As usual, it was released to developers straight away and reaches the rest of us in the autumn. But if you just can't wait, the iOS 11 public beta program has just gone live. So, should you upgrade, how do you do it and what are the downsides? The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

I have been looking to create this list for a while now. There are many people on quora who ask me how I started in the data science field. And so I wanted to create this reference. To be frank, when I first started learning it all looked very utopian and out of the world. The Andrew Ng course felt like black magic.

AI promises to transform the world. Companies like this one will pave the way. He's been called one of the "foremost thinkers on the topic of artificial intelligence," so it's no surprise that Andrew Ng -- the cofounder of Coursera, the lead developer of Stanford University's main Massive Open Online Course (MOOC) platform, and the founder of the Google Brain project -- is starting another AI company of his own now that he's left Baidu. The resume of this impressive entrepreneur reads like a laundry list of some of the most impressive achievements in AI technology, and it seems safe to assume that Ng's newest venture, known only as deeplearning.ai, Hope will help many of you: deeplearning.ai

Learn how to build a sentiment analysis solution for social media analytics by bringing real-time Twitter events into Azure Event Hubs. In this scenario, you write an Azure Stream Analytics query to analyze the data. Then you either store the results for later use or use a dashboard and Power BI to provide insights in real time. Social media analytics tools help organizations understand trending topics. Trending topics are subjects and attitudes that have a high volume of posts in social media.

This paper provides an entry point to the problem of interpreting a deep neural network model and explaining its predictions. It is based on a tutorial given at ICASSP 2017. It introduces some recently proposed techniques of interpretation, along with theory, tricks and recommendations, to make most efficient use of these techniques on real data. It also discusses a number of practical applications.

Glancing around school classrooms in 2016, it's easy to miss just how far technology has transformed learning over the last decade. The desks, whiteboards and rows of chairs are the same, but so much else has changed that can't be seen. A third of Britain's schools are asking students to bring their own tablets and laptops into the classroom now, coding has been on the national curriculum for three years, and more and more education is happening outside school through apps and digital services. But these changes are just the start. Artificial intelligence (AI) is the next giant leap in learning and, according to those working in the field of education and technology, we haven't seen anything yet.