Data science pioneer, founder, author, CEO, investor, with broad spectrum of domain expertise, technical knowledge, and proven success in bringing measurable added value to companies ranging from startups to fortune 100, across multiple industries (finance, Internet, media, IT, security) and domains (data science, operations research, machine learning, computer science, business intelligence, growth hacking, IoT).
The world has so many attractions to see. Rather than limiting yourself to only the popular attractions, expand your adventures to lesser-known destinations around the world. The following destinations are just a few to add to your traveling bucket list.
5 hours south of Lima Peru, you will find an oasis in the midst of a desert. The watering hole was once used by the upper class as a way to escape from nearby Ica. Today it is is a popular stop for backpackers that are looking for a little th...
In the year 2001, William S. Cleveland published a book called “Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics.” This was the beginning of a new kind of statistics, brought about as a result of the new, data-heavy internet era. Professor and Statistician Jacob Zahavi is quoted as saying “Conventional statistical methods work well with small data sets… [sic] Today’s databases, however, can involve millions of rows and scores of columns of data.”‘
One of the most off-putting aspects of visiting popular attractions is waiting in long lines and fighting against a crowd. While we all want to snap a photo to share with our friends and families, sometimes facing the crowds are just not worth the trouble. However, there a few attractions that are just too incredible not to see in person. To not waste your precious vacation time, the following tourist attractions are worth the hassle and wait.
The Blue Lagoon, located in Iceland, ...
Across multiple industries in the world, companies are utilizing big data as a way to gain more insight into how their business operates and how it can be improved. However, business executives often question whether or not data science is just the same as data analytics.
Data science has a primary focus on big data. Big data can be described as a volume of raw and unstructured data that is from a number of diverse sources. Due to its high volume, it requires more power to not only gather but...
For many, one of the greatest incentives to traveling is spending time outdoors. Exploring new sites, meeting new people, and immersing oneself in a new environment offer rewarding experiences for travelers. Especially for those interested in physical activity and scenic photo opportunities, hiking offers an excellent way for travelers to intimately acquaint themselves with the landscape of another country. The following list contains recommendations for the best countries for hiking.
Big data, a term that has sometimes been used as a way to describe large volumes of data, both the unstructured and the structured kinds, will inundate businesses on an everyday basis. However, it’s not the data that matters the most. Instead, it’s what the organizations do with the data that will have the biggest impact. Big data, for example, has been used as a method to analyze the different insights, and this has also led to better insights, strategic business moves and better decisions.
Vincent Granville describes how healthcare organizations are applying predictive analytics.
Vincent Granville discusses whether or not shortcuts belong in Mathematics