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This long article covers topics ranging from applied mathematics, statistics, probability, and algorithms, to computer sciences. Original, fun problems are discussed. Even thought you won't find them in textbooks or traditional data science courses, these problems do not require more than high school mathematics to explore solutions.
Simulations, percentiles and Bates distribution
Added by Vincent Granville on November 25, 2016 at 10:33am — No Comments
This is a long article written by Sebastian Raschka. Sebastian Raschka is the author of the bestselling book “Python Machine Learning.” As a Ph.D. candidate at Michigan State University, he is developing new computational methods in the field of computational biology. Sebastian has many years of experience with coding in Python and has given several seminars on the practical applications…Continue
Added by Vincent Granville on November 23, 2016 at 12:30pm — No Comments
Listed on my personal website www.markmcilroy.com is my book titled 'A guide to writing Excel formulas and VBA macros'. The book is available for free download in PDF format. It is also available in print from Amazon.com.
Excel is widely used for all forms of data analysis once the bulk of the data has been processed and summarised using a tool such as SAS, SQL, etc.
While this book is relatively small it includes an overview of key…Continue
Added by Mark McIlroy on November 18, 2016 at 11:00pm — No Comments
Traditional computer systems and software applications don’t have what it takes to support big data. If you want to collect, store, refine, or analyze big data, you have to have the right tools. Check out the following ten tools that are specifically designed with big data in mind.
If you know, or are willing to…Continue
The purpose of this article is to generate new theorems of probability and to find out some applications of these theorems. In this case, suppose that we have a covered basket that contains many dices. In many blind tests, we will reach in and pull out a dice and set it on the table on one row from left to right. It is clear, each dice has six events (choices) including 1, 2, 3, 4, 5, and 6.
What is the application of these theorems (1 and 2)?
Added by Gholamreza Soleimani on November 16, 2016 at 3:00am — No Comments
Added by Rick Riddle on November 10, 2016 at 10:00am — No Comments
Database marketing is the process of collecting, analyzing, and identifying important information about you customers.
The information comes different channels like sales records, email, cards warranty and etc.
With this is information you can sharpen your marketing campaigns to focus on what’s important; the client.
Database marketing techniques help you with:
This post is a brief review of the book 'The Little SAS book' by Delwiche and Slaughter.
I came across this book in my first SAS position. It had been left behind by a former employee, or the company, and was sitting on the shelf of my cubical.
I had no experience with SAS, and all I had to refer to was the existing code in the system and this book.
As the title suggests it's quite a small book in IT terms, the fifth edition is 325 pages.
One benefit of this is…Continue
Added by Mark McIlroy on November 8, 2016 at 12:00am — No Comments
As you would know, SQL is essential for many tasks involving working with large quantities of data.
Members of Analytic Bridge might like to download my guide to SQL titled 'SQL Essentials' available for free download from my personal website www.markmcilroy.com
Also on my personal website is a practice SQL environment where you can query a sample database and try out the examples from the book.
This book and my…Continue
Added by Mark McIlroy on November 4, 2016 at 6:00pm — No Comments
Here is our selection of articles and resources featured today. Enjoy the reading!
How We Combined Different Methods to Create Advanced Time Series Prediction
Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play,…Continue
Added by Vincent Granville on November 4, 2016 at 11:30am — No Comments
There’s a lot of buzzword around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is.
After publishing this report, your client comes back to you and…Continue
Added by Vivek Kalyanarangan on November 4, 2016 at 8:24am — No Comments
One of my favorite things over the year was starting a personal blog. (You can find my website here if you are curious.) How did it happen? Well, I was reading an article and one quote in particular really struck me: "it's not what you know it's who you know".
That quote really resonates with me. Throughout my life I’ve learned a lot, and…Continue
Added by Olga on November 2, 2016 at 9:03pm — No Comments
Guest blog by Brando Rohrer. Brandon is an author and deep learning developer. He has worked as Principal Data Scientist at Microsoft, as well as for DuPont Pioneer and Sandia National Laboratories. Brandon earned a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology.
Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last…Continue
Added by Vincent Granville on November 2, 2016 at 5:03pm — No Comments
Most people think data science is smart people doing very smart stuff. Well that’s not it. Data science is just another subject involving its own bit of subtle complexities that has to be handled with knowledge and an innovative approach. JUST LIKE COOKING.
Cooking is art and science. So is Analytics. Both start from getting the right ingredients. No matter how many spices and cooking techniques you apply, the dish won’t…Continue
Added by Vivek Kalyanarangan on November 1, 2016 at 10:00am — No Comments