BigDataFr recommande : Les PME à l’assaut du Big Data : Les Vidéos Pour casser les idées reçues et convaincre les PME du potentiel du Big data, Bpifrance a organisé le 03 novembre dernier une journée thématique : « les PME à l’assaut du Big Data ». Nous avons eu l’opportunité de vous recommander cette […]
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[analyticsvidhya] BigDataFr recommends: 8 Proven Ways for improving the “Accuracy” of a Machine Learning Model #machinelearning #datascientist
BigDataFr recommends: 8 Proven Ways for improving the “Accuracy” of a Machine Learning Model Introduction Enhancing a model performance can be challenging at times. I’m sure, a lot of you would agree with me if you’ve found yourself stuck in a similar situation. You try all the strategies and algorithms that you’ve learnt. Yet, you […]
[arXiv] BigDataFr recommends: Strategies and Principles of Distributed Machine Learning on Big Data #datascientist
BigDataFr recommends: Strategies and Principles of Distributed Machine Learning on Big Data ? The rise of Big Data has led to new demands for Machine Learning (ML) systems to learn complex models with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics thereupon. In order to […]
[Datasciencecentral] BigDataFr recommends : How to Raise a Data -Scientist in the Xbox Age
BigDataFr recommends: How to Raise a Data -Scientist in the Xbox Age An article by this title (without the ‘Data’) appeared in December in the WSJ written by Robert Scherrer, Chairman of the Physics and Astronomy department at Vanderbilt University. As an educator and parent he has some interesting and humorous insights into how to […]
[HAL] BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure
BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure Abstract Recently, hybrid multi-site big data analytics (that combines on-premise with off-premise resources) has gained increasing popularity as a tool to process large amounts of data on-demand, without additional capital investment to increase the size of a single datacenter. However, making the most […]
[Informationweek] BigDataFr recommends: Algorithms – Turning Data Into Products
BigDataFr recommends: Algorithms – Turning Data Into Products Blame Persian mathematician Al-Khwarizmi. Around 825 AD, he wrote a book entitled « Al-Khwarizmi on the Hindu Art of Reckoning, » basically a math book using the numbers we use today. It was translated into Latin as « Algorithmi de numero Indorum. » From this, we get our current word « algorithm ». […]
[analyticsvidhya] BigDataFr recommends: New Year Resolutions for a Data Scientist #datascientist
BigDataFr recommends: New Year Resolutions for a Data Scientist Introduction New Year is not just replacing your table calendar with a new one or waking up next morning rubbing your eyes. It’s celebrating the joy of a new beginning. It gives a perfect reason to inculcate new habits. It is the arrival of new ‘Hope’. […]
[Businessoverbrodway – BOB] BigDataFr recommends: Getting More Insights from Data: Nine Facts about the Practice of Data Science
BigDataFr recommends: Getting More Insights from Data: Nine Facts about the Practice of Data Science The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means to be a […]
[arXiv] BigDataFr recommends: Measuring Social Well Being in The Big Data Era: Asking or Listening?
BigDataFr recommends: Measuring Social Well Being in The Big Data Era: Asking or Listening? The literature on well being measurement seems to suggest that « asking » for a self-evaluation is the only way to estimate a complete and reliable measure of well being. At the same time « not asking » is the only way to avoid biased […]
[HAL] BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure
BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure Abstract Point set visualization is required in lots of visualization techniques. Scatter plots as well as geographic heat-maps are straightforward examples. Data analysts are now well trained to use such visualiza- tion techniques. The availability of larger and larger datasets raises the need […]