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: efinancialcareersIn 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 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: 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: 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: HOBThis article serves as a quick guide on one of the most important theorems that every data scientist should know, the Central Limit Theorem.
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