BigDataFr recommends: Data Scientists – Are You Prepared For Your Next Interview? […] You’ve perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview? Just the thought of the face-to-face interview stage is enough to strike […]
Author: Big Data
[Career] Big Data @ Moody’s Analytics (France – Grenoble): Software Engineer – Java 8 & Scala – #Hadoop #Spark
[Big Data @ Moody’s Analytics (France)] : Software Engineer – Java 8 & Scala More information / apply now Moody’s is an essential component of the global capital markets, providing credit ratings, research, tools and analysis that contribute to transparent and integrated financial markets. Moody’s Corporation (NYSE: MCO) is the parent company of Moody’s Investors […]
[Career @IESEG) (Lille, Paris)] Assistant, Associate or Full Professor in Marketing Analytics – PhD – Python, Spark, BigData, Machine Learning
[Career @IESEG) (Lille, Paris)] Assistant, Associate or Full Professor in MARKETING ANALYTICS (PhD) Apply Now Send 2 recommendation letters separately to FACULTY POSITION In view of its continuous growth, the Marketing and International Negotiation Department at IÉSEG School of Management invites applications for a full-time permanent position in Marketing Analytics at Assistant, Associate or Full […]
[Datasciencecentral] BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras
BigDataFr recommends: Some Deep Learning with Python, TensorFlow and Keras […] The following problems are taken from a few assignments from the coursera courses Introduction to Deep Learning (by Higher School of Economics) and Neural Networks and Deep Learning (by Prof Andrew Ng, deeplearning.ai). The problem descriptions are taken straightaway from the assignments. 1. Linear […]
[arXiv] BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning
BigDataFr recommends: A Big Data Analysis Framework Using Apache Spark and Deep Learning […] Subjects: Databases (cs.DB); Learning (cs.LG); Machine Learning (stat.ML) With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over the past […]
[Datasciencecentral] BigDataFr recommends: High Precision Computing: Benchmark, Examples, and Tutorial
BigDataFr recommends: High Precision Computing: Benchmark, Examples, and Tutorial […] In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in […]
[arXiv] BigDataFr recommends: Learning to Predict with Big Data
BigDataFr recommends: Learning to Predict with Big Data […] Subjects: Big spatio-temporal datasets, available through both open and administrative data sources, offer significant potential for social science research. The magnitude of the data allows for increased resolution and analysis at individual level. One of the issues researchers face with such data is the stationarity assumption. […]
[Datasciencecentral] BigDataFr recommends: Quantitative Alienation in the Workplace
BigDataFr recommends: Quantitative Alienation in the Workplace […] For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement. Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications. I am therefore honoured to become better acquainted with the “mechanics” […]
[arXiv] BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing
BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing […] Subjects: Cryptography and Security (cs.CR) With the ubiquitous computing of providing services and applications at anywhere and anytime, cloud computing is the best option as it offers flexible and pay-per-use based services to its customers. Nevertheless, security and privacy are the […]
[arXiv] BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis
BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis […] Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) In this paper we propose a new approach for Big Data mining and analysis. This new approach works well on distributed datasets and deals with data clustering task of the analysis. The approach […]