[Dataconomy] BigDataFr recommends: http://dataconomy.com/simplifying-data-acquisition-augmentation/

BigDataFr recommends: Simplifying Data acquisition & augmentation […] As can likely be expected, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes, especially as […]

[Analyticsvidhya – Tip] BigDataFr recommends: How to start applying for Analytics / Data Science Masters in the US Universities?

BigDataFr recommends: How to start applying for Analytics / Data Science Masters in the US Universities? […] Planning a masters program in data science in US? But, not completely aware of the application process? Or afraid of the application process? Don’t worry. I’m here to help. I will take you through the complete process required […]

[Informationweek] BigDataFr recommends: 12 Types Of Data IT Can’t Afford To Overlook

BigDataFr recommends: 12 Types Of Data IT Can’t Afford To Overlook Your organization probably already has more data than it knows what to do with. Yet, it’s quite likely you’re overlooking, disregarding, unaware of, or unable to access important information that could directly affect analyses and business outcomes. It doesn’t matter what your universe of […]

[HAL]] BigDataFr recommends: Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data

BigDataFr recommends: Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data Keywords: Nearest neighbor, Trajectory join, Big trajectory data, MapReduce. Abstract […] Trajectory data are prevalent in systems that monitor the locations of moving objects. In a location-based service, for instance, the positions of vehicles are continuously monitored through GPS; the trajectory of each vehicle […]

[Datasciencecentral] BigDataFr recommends: A methodology for solving problems with DataScience for Internet of Things – Full – #iot

BigDataFr recommends: A methodology for solving problems with DataScience for Internet of Things – Part 1 and 2 […] This two part blog is based on my forthcoming book: Data Science for Internet of Things. It is also the basis for the course I teach Data Science for Internet of Things Course. I will be […]

[Mc Kinsey] BigDataFr recommends: People analytics reveals three things HR may be getting wrong

BigDataFr recommends: People analytics reveals three things HR may be getting wrong Bill James, the factory watchman turned baseball historian and statistician, once observed, “There will always be people who are ahead of the curve, and people who are behind the curve. But knowledge moves the curve.”1 Some companies are discovering that if they employ […]

[informationweek] BigDataFr recommends:How To Hire Analytical Workers: 10 Traits To Seek

BigDataFr recommends: How To Hire Analytical Workers: 10 Traits To Seek Does your organization have more data than it knows what to do with? The race is on in corporations everywhere to make sense of all the information flooding in. Knowing this, businesses that are investing in business intelligence, Big Data, analytics, and data science […]

[CIO] BigDataFr recommends: Big Data and elections: The candidates know you – better than you know them

BigDataFr recommends: Big Data and elections: The candidates know you – better than you know them With the presidential nominating conventions looming, the candidates are getting ready to add to the hundreds of millions they’ve already spent to tell you about themselves – but only what they want you to know about themselves. Meanwhile, they […]