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Things You Can Do with a Recurrent Neural Network

In this video presentation from the Linux.conf.au 2015 in Auckland, New Zealand, Douglas Bagnall examines a particularly hot topic in deep learning, namely recurrent neural networks, and all the things you can do with them.

4 Trends that are Upending the Analyst World

Data science company, Dataiku, has published a free whitepaper “The Analyst of the Future” outlining the sweeping changes that will affect the analyst industry and how everyone can prepare. 4 trends that are upending the analyst world as itemized in the report are provided below. No one needs to be reminded that the data world – and everything it touches, which is, basically, everything – is changing rapidly. For analysts, there four major trends that are driving the opportunities that will fuel their career adventure over these next few years. At the heart of these trends is a massive wave of data being generated and collected by organizations worldwide.

Large Scale Deep Learning with TensorFlow

In this video presentation from the Spark Summit 2016 conference in San Francisco, Google’s Jeff Dean examines large scale deep learning with the TensorFlow framework. Jeff joined Google in 1999 and is currently a Google Senior Fellow.

AI World – Industry’s Premier Event Focused on Enterprise AI – Boston, December 11-13

AI World will be held December 11-13, 2017 at the Boston Marriott Copley in Boston, MA. Now in its’ second year, AI World has become the industry’s largest event focused on the state of the practice of enterprise AI and machine learning. AI World’s mission is to enable enterprise business and technology executives to learn how to successfully harness intelligent technologies to build competitive advantage, drive new business opportunities and accelerate innovation efforts.

Visualizing and Understanding Deep Neural Networks

In the video presentation below, Matthew Zeiler, PhD, Founder and CEO of Clarifai Inc, speaks about large convolutional neural networks. These networks have recently demonstrated impressive object recognition performance making real world applications possible. However, there was no clear understanding of why they perform so well, or how they might be improved.

deepsense.ai Popularizes Machine Learning at European Universities as Part of the Intel Nervana AI Academy

deepsense.ai will train hundreds of European students in the upcoming three months as part of the Intel® Nervana™ AI Academy. Students will get the valuable opportunity to gain practical knowledge in two of the most cutting‑edge and fast developing areas of data science, machine learning and deep learning.

Deep Learning – Theory and Applications

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya Sutskever who received his Ph.D. in 2012 from the University of Toronto working with deep learning luminary Geoffrey Hinton.

Applying AI Technology to Reduce AML Risk for Global Financial Institutions

QuantaVerse published a new paper that examines how financial institutions can apply AI and machine learning technologies into their anti-money laundering (AML) ecosystems. For financial institutions, the time is now to deploy AI into their AML ecosystems. AI and machine learning hold the key to reducing risk related to financial crimes, addressing regulation, driving out operational cost through improved efficiency and, most importantly, effectively preventing criminals and terrorists from using the banking industry for their evil agendas.

“Deep Learning” Book Chapter Walk-Throughs by Ian Goodfellow

Here’s a tremendous learning resource for Deep Learning practitioners – a complete set of video walk-through presentations for each chapter from the recent book “Deep Learning” by Goodfellow, Bengio, and Courville. This book is considered one of the finest texts on the subject. The video series is an excellent way to advance through all the material in the book.

Data 2020: State of Big Data Study

Our friends over at SAP recently published a study that highlights some really compelling findings around data scientists. There’s a wide gap and serious discrepancy in the level of importance organizations place on data scientists and the number of data scientists they employ. Below are some key statistics from the study, along with a summary infographic.