BigDataFr recommends: A Complete Tutorial to learn Data Science in R from Scratch […] SparkR, ggplot2 have made data manipulation, visualization and computation much faster. But, what about Machine Learning ? My first impression of R was that it’s just a software for statistical computing. Good thing, I was wrong! R has enough provisions to […]
Documentation
[Dataconomy] BigDataFr recommends: 10 Online Big Data Courses #datascientist
BigDataFr recommends: 10 Online Big Data Courses […] If you already have the skill set to enter the world’s sexiest profession, it’s a great time to be alive. For those with enough money and expendable time, there’s always the option to go back to school. But for the rest of us, hope is not lost; […]
[Yanir Seroussi] BigDataFr recommends : Why you should stop worrying about deep learning and deepen your understanding of causality instead
BigDataFr recommends: Why you should stop worrying about deep learning and deepen your understanding of causality instead Abstract […] Everywhere you go these days, you hear about deep learning’s impressive advancements. New deep learning libraries, tools, and products get announced on a regular basis, making the average data scientist feel like they’re missing out if […]
[HBS Scholarly Articles] BigDataFr recommends: Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
BigDataFr recommends: Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life Abstract […] New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big […]
[HAL] BigDataFr recommends: Big Data Management Challenges, Approaches, Tools and their limitations
BigDataFr recommends: Big Data Management Challenges, Approaches, Tools and their limitations Abstract […] Big Data is the buzzword everyone talks about. Independently of the application domain, today there is a consensus about the V’s characterizing Big Data: Volume, Variety, and Velocity. By focusing on Data Management issues and past experiences in the area of databases […]
[arXiv] BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)
BigDataFr recommends: Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT) […]Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current […]
[O’R] BigDataFr recommends: Insightful applications: The next inflection in big data
BigDataFr recommends: Insightful applications: The next inflection in big data […] In previous posts, I wrote about the need for insight generation and provided an example of an insightful application. I maintain that insightful applications are the key to businesses effectively exploiting big data in order to improve decision-making and address important problems. To better […]
[Analyticsvidhya – Tip] BigDataFr recommends: Complete guide to create a Time Series Forecast (with Codes in Python)
BigDataFr recommends: Complete guide to create a Time Series Forecast (with Codes in Python) […] Time Series (referred as TS from now) is considered to be one of the less known skills in the analytics space (Even I had little clue about it a couple of days back). But as you know our inaugural Mini […]
[Deepmind] BigDataFr recommends: Mastering the game of go with deep neural networks and tree search
BigDataFr recommends: Mastering the game of go with deep neural networks and tree search This paper published in Nature on 28th January 2016, describes a new approach to computer Go that combines Monte-Carlo tree search with deep neural networks that have been trained by supervised learning, from human expert games, and by reinforcement learning from […]
[Analyticsvidhya – Tip] BigDataFr recommends: SlideShare Presentations on Data Science – Kunal Jain
BigDataFr recommends: SlideShare Presentations on Data Science – Kunal Jain’s recommandations […] The beauty about learning from presentations is that you can quickly zoom in on the section you want to and come out at your own pace – no one decides that for you! If it fits your learning style, they can be the […]