Google's brain team is open sourcing Tensor2Tensor, a new deep learning library designed to help researchers replicate results from recent papers in the field and push the boundaries of what's possible by trying new combinations of models, datasets and other parameters.
Source: TCIf you want to work on J.P. Morgan's Quantitative and Derivative Strategy team within the bank's Global Research group, then you better have a PhD in one of three areas: applied mathematics, computer science and statistics.
Source: efinancialcareersThe big data tsunami bears exciting new profit potential; it also brings with it some daunting challenges, thanks to the General Data Protection Regulation's strict privacy rules, set to be enforced next year. Machine learning is the best weapon businesses have to maximize the bounty of big data and ward off the threats, according to Murthy Mathiprakasam (pictured), director of product marketing at Informatica Corp.
Source: siliconangleIn the tech industry, new skills and roles emerge faster than traditional education can keep up with. A recent example is the field of data science and the associated profession, Data Scientist.
Source: CodementorIt is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.
Source: HOBMachine Learning is a subfield of computer science which gives computers the ability to learn without being explicitly programmed. It is concerned with construction of algorithms than can learn and make predictions from data.
Source: HOBMachine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Source: HOBThe essential mathematics necessary for Data Science can be acquired with these 15 MOOCs, with a strong emphasis on applied algebra & statistics.
Source: HOBThe popularity of data science, big data jobs in India and globally has leapfrogged over the past five years or so. Its successful run in the industry can be attributed to better research, project implementations and the general growth in big data and data science. These developments have called out for techies trying to make a career in data science.
Source: HOBThis article list data sets from the data science world that you might find interesting.
Source: HOBWe covered 50 data sets for data scientists that are amusing in part 1. In part two we cover 50 more of those.
Source: HOB50 data sets that data scientist find amusing.
Source: HOBRegardless of where you stand on the matter of Data Science sexiness, it's simply impossible to ignore the continuing importance of data, and our ability to analyze, organize, and contextualize it.
Source: HOBThe two most powerful technologies Data Science and Machine Learning are not only changing the industries but also influencing many movies-makers across the globe. Basically these technologies are penetrating the entire world.
Source: HOBGetting learners to read textbooks and use other teaching aids effectively can be tricky. Especially, when the books are just too dreary.
Source: HOBBooks are very useful resource for the learners and every learner always search for the best books to gain insights and here we have the collection of popular deep learning books which are recommended by experienced professionals to read.
Source: HOBDeep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.
Source: HOBDeirdre Dempsey has decades of experience dealing with data analytics, data science stemming from a strong foundation in mathematics.
Source: HOBMachine learning offers organizations the potential to make more accurate data-driven decisions and to solve problems. Now organizations are leveraging the machine learning technology and this is not the magic it presents many of the same challenges as other analytics methods.
Source: HOBNatural language processing, one of the most exciting components of Artificial Intelligence is all set to rule the way we communicate with the external world. Natural Language Processing uses computational and mathematical methods to analyze the human language to facilitate interactions with computers using conversational language. The most popular approaches to NLP deploy Machine Learning. Natural language processing is improving human-computer conversations at the most advanced levels with applications or systems like Google Duplex, which can act as an agent to perform tasks like making haircut appointments over the phone by conversing with humans.
Source: HOBThis article serves as a quick guide on one of the most important theorems that every data scientist should know, the Central Limit Theorem.
Source: HOBDo you need to have a math Ph.D. to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses.
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