BigDataFr recommends: The challenges of word embeddings […] In recent times deep learning techniques have become more and more prevalent in NLP tasks; just take a look at the list of accepted papers at this year’s NAACL conference, and you can’t miss it. We’ve now completely moved away from traditional NLP approaches to focus on […]
Month: juin 2016
[Datasciencecentral] BigDataFr recommends: Hitchhiker’s Guide to Data Science, Machine Learning, R, Python
BigDataFr recommends: Hitchhiker’s Guide to Data Science, Machine Learning, R, Python […] Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of books, courses and conferences are available. You could spend months just figuring out what to do to get started, even to understand what data science is about. […]
[arXiv – MSc Thesis] BigDataFr recommends: LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios
BigDataFr recommends: LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios Subjects: Machine Learning (stat.ML); Information Retrieval (cs.IR); Social and Information Networks (cs.SI) […]The purpose if this master’s thesis is to study and develop a new algorithmic framework for Collaborative Filtering to produce recommendations in the top-N recommendation problem. Thus, we propose Lanczos Latent […]
[Datasciencecentral] BigDataFr recommends: Mary Meeker, Analytics, and the Future of the Internet
BigDataFr recommends: Mary Meeker, Analytics, and the Future of the Internet […] It’s that time of year again when Mary Meeker, the great seer of the internet once again releases her annual Internet Trends 2016 report. If by chance you don’t know who Ms. Meeker is she is a partner in the VC firm Kliener […]
[arXiv – Tip] BigDataFr recommends: D-SPACE4Cloud: A Design Tool for Big Data Applications
BigDataFr recommends: D-SPACE4Cloud: A Design Tool for Big Data Applications Subjects: Distributed, Parallel, and Cluster Computing […]The last years have seen a steep rise in data generation worldwide, with the development and widespread adoption of several software projects targeting the Big Data paradigm. Many companies currently engage in Big Data analytics as part of their […]
[Datasciencecentral] BigDataFr recommends: Stream Processing and Streaming Analytics – How It Works
BigDataFr recommends: Stream Processing and Streaming Analytics – How It Works […] Recently we started exploring the basics of Event Stream Processing (ESP) in our article Stream Processing – What Is It and Who Needs It. There we explained ESP capabilities, technologies, platforms, and business cases. There’s one more piece of information that you need […]