7 methods to perform Time Series forecasting (with Python codes)

Most of us would have heard about the new buzz in the market i.e. Cryptocurrency. Many of us would have invested in their coins too. But, is investing money in such a volatile currency safe? How can we make sure that investing in these coins now would surely generate a healthy profit in the future? We can’t be sure but we can surely generate an approximate value based on the previous prices. Time series models is one way to predict them.

MIT IQ Initiative Is Taking A Different Approach To AI Research

The current socio-economic and political global climate is cause for concern. Global instability from rising nuclear tensions, political uncertainty and the devastating effects of climate change has resulted in the Doomsday Clock moving closer to midnight. However, all this doom and gloom is proving a catalyst for a shift in the way in which bright minds in AI want to use this technology. It’s a pivotal time for those involved in Artificial Intelligence, as many within the community are looking at how it can improve the state of the world we live in. A new approach to AI research by MIT IQ is the latest initiative to want to tackle some of these concerns. MIT announced last week* that they’re launching the MIT Intelligence Quest, (MIT IQ), “an initiative to discover the foundations of human intelligence and drive the development of technological tools that can positively influence virtually every aspect of society.”

TensorFlow for R

Over the past year we’ve been hard at work on creating R interfaces to TensorFlow, an open-source machine learning framework from Google. We are excited about TensorFlow for many reasons, not the least of which is its state-of-the-art infrastructure for deep learning applications. In the 2 years since it was initially open-sourced by Google, TensorFlow has rapidly become the framework of choice for both machine learning practitioners and researchers. On Saturday, we formally announced our work on TensorFlow.