BigDataFr recommends: The Ultimate Guide for Choosing Algorithms for Predictive Modeling […] There are three ways to look at data. The first is analytics. This is when you look at data from the (potentially very recent) past. Think analytics. It allows you to explore the questions what happened and why did it happen? The second […]
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[freeCodeCamp] BigDataFr recommends: I ranked every Intro to Data Science course on the internet, based on thousands of data points
BigDataFr recommends: I ranked every Intro to Data Science course on the internet, based on thousands of data points […] A year ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master’s program using online resources. I realized that I could learn everything […]
[computerworld] BigDataFr recommends: Dublin, New York officials cite smart-tech challenges and successes
BigDataFr recommends: Dublin, New York officials cite smart-tech challenges and successes New technology such as low-cost video motion sensors and low-power, wide-area wireless networks are now driving smart-city pilot projects to reduce energy used by buildings and to cut traffic delays. While the promise of these innovations is great, that doesn’t make it any easier […]
[analyticsvidhya] BigDataFr recommends: 40 Questions to test a Data Scientist on Clustering Techniques (Skill test Solution)
BigDataFr recommends: 40 Questions to test a Data Scientist on Clustering Techniques (Skill test Solution) […] Introduction The idea of creating machines which learn by themselves has been driving humans for decades now. For fulfilling that dream, unsupervised learning and clustering is the key. Unsupervised learning provides more flexibility, but is more challenging as well. […]
[CMU] BigDataFr recommends: Carnegie Mellon Artificial Intelligence Beats Top Poker Pros
BigDataFr recommends: Carnegie Mellon Artificial Intelligence Beats Top Poker Pros […] Historic win at Rivers Casino is first against best human players Libratus, an artificial intelligence developed by Carnegie Mellon University, made history by defeating four of the world’s best professional poker players in a marathon 20-day poker competition, called “Brains Vs. Artificial Intelligence: Upping […]
[CRAIN’S Chicago Business] BigDataFr recommends : Why Chicago trading firms have a Twitter crush
BigDataFr recommends: Why Chicago trading firms have a Twitter crush […] When trading firm Ronin Capital invested in Dose Media, it got more than an ownership stake in a highly trafficked digital publisher; it secured a back channel into the social media scene. In the age of a Twitter-holic new president, Chicago trading firms are […]
[Microsoft Ideas] BigDataFr recommande : IA : Vers une entreprise toujours plus intelligente
BigDataFr recommande: IA : Vers une entreprise toujours plus intelligente […] L’intelligence artificielle ouvre les portes d’une nouvelle ère, dans laquelle les machines travaillent intelligemment et où la technologie permet aux entreprises de mieux connaître leurs clients et de les satisfaire avec des moyens jusqu’à présent inimaginables. Les avancées de l’IA portent la promesse d’une […]
[Deloitte] BigDataFr recommande : Tendances Data & Analytics 2017 – Le métier à l’heure de la Data
BigDataFr recommande : Tendances Data & Analytics 2017 – Le métier à l’heure de la Data […] L’intérêt des organisations pour la Data n’est plus à démontrer et n’a eu de cesse de s’intensifier ces dernières années. Entre volonté d’accroître l’efficacité opérationnelle, d’améliorer la connaissance ou de se conformer à un cadre réglementaire exigeant, les […]
[Datasciencecentral – Tips] BigDataFr recommends: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
BigDataFr recommends: Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics […] In this article, Vincent Granville clarifies the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is […]
[analyticsvidhya] BigDataFr recommends: 19 MOOCs on Mathematics & Statistics for Data Science & Machine Learning
BigDataFr recommends: 19 MOOCs on Mathematics & Statistics for Data Science & Machine Learning […] Introduction Mathematics & Statistics are the founding steps for data science and machine learning. Most of the successful data scientists I know of, come from one of these areas – computer science, applied mathematics & statistics or economics. If you wish to […]