A Data Science Central Community
Stock trading has one of the most complex and complicated dynamics in the present day world. In today’s time, multiple algorithms and researches have been produced to understand the complexity of the stocks trading. There is an increasing effort to understand the system dynamics of stock trading to predict the emergent behavior of the stock prices.
In order to predict stock prices adequately, one needs to…Continue
Added by Sandra K on July 7, 2019 at 10:00pm — No Comments
Added by Paul Black on July 12, 2018 at 4:00am — No Comments
Data loss comes in all shapes and sizes, from an accidentally deleted document to a catastrophic server failure that wipes out a critical database. Modern businesses are absolutely reliant on data, and on the infrastructure they use to store, process, and access that data. The grim reality is that those systems and the people who use them are fallible. Most business owners are aware that backups are important, but few have a full disaster recovery plan in…Continue
Added by Karl Zimmerman on May 30, 2018 at 12:13pm — No Comments
Data science is probably the most popular concept nowadays. I believe that many people are looking for an entrance to get inside the industry, and I just happened to read an article that lists some great data science books that may be helpful for you. So I concluded it in this article and I’ve also given the books brief introductions, so you can choose the ones you’d like to read. Some of the data science books you can find it online, and I've given out the links. But most of them I…Continue
Added by Paul Black on March 28, 2018 at 6:30pm — No Comments
There have been many articles written and talks given over the last several years on abandoning the Enterprise Data Warehouse (EDW) in favor of an Enterprise Data Lake with some passionately promoting the idea and others just as passionately denying that this is achievable. In this article, I would like to take a more pragmatic approach to the case and try and lay down a process that enterprises should consider for a data management architecture.
The focus is on data lakes for…Continue
Added by Shanti Subramanyam on February 26, 2018 at 11:00am — No Comments
If a person wishes to relax himself, travelling is probably the best pick for most people. Choosing the right place to stay for your vocation is one of the most important parts in a travel, but how to do so may be a problem. Reading through reviews of a certain hotel may be a good choice, referring to visitors’ experience, you get to know some more specific details about the hotel, however, this method is not comprehensive enough, and reading a bunch of reviews would irritate you. Here is a…Continue
Added by Zhouyiming on August 28, 2017 at 12:00am — No Comments
To start with Sentiment Analysis, what comes first to our mind is where and how we can crawl oceans of data for our analysis. Normally, web crawler or crawling from web social media should be one reasonable way to get access to the public opinion data resource. Thus, in this writing, I want to share with you about how I crawled the website using web crawler and proceeded to deal with those data for…Continue
Added by Paul Black on February 28, 2017 at 10:00pm — No Comments
Web scraping (also termed web data extraction, screen scraping, or web harvesting) is a web technique of extracting data from the web, and turning unstructured data on the web into structured data that can stored to your local computer or a database.
The web scraping technique is implemented by web scraping software tools. These tools interacts with websites in the same way as you do when using a…Continue
Added by Paul Black on September 22, 2016 at 11:00pm — No Comments
The modern world seems really fast and dynamic with a multitude of new products being launched. Marketing agencies are making fortune by monitoring the markets and delivering reports on consumers’ opinions. For today, the feedback analysis is a separate area, let’s say a growing industry with an array of products and services. And the prices for those services are pretty exorbitant.
So, do vendors have a chance to cut down…Continue
Added by Yana Yelina on August 12, 2016 at 12:00am — No Comments
Added by Lucie Clayton on April 26, 2016 at 3:07am — No Comments
Added by Igor Savula on April 5, 2016 at 1:30am — No Comments
Curse of Dimensionality:
One of the most commonly faced problems while dealing with data analytics problem such as recommendation engines, text analytics is high-dimensional and sparse data. At many times, we face a situation where we have a large set of features and fewer data points, or we have data with very high feature vectors. In such scenarios, fitting a model to the dataset, results in lower predictive power of the model. This scenario is often termed as…Continue
Added by suresh kumar gorakala on February 28, 2016 at 9:30pm — No Comments
With increasing frequency, CIOs are being asked by their senior management, “What’s our big data strategy?” But do you really need a big data strategy?
In our view, companies should instead focus on data…Continue
Added by Gabriel Lowy on January 26, 2016 at 11:48am — No Comments
Gets Tweets from Twitter:
Added by suresh kumar gorakala on January 11, 2016 at 6:00am — No Comments
Originally posted here.
Added by suresh kumar gorakala on October 13, 2015 at 6:30am — No Comments
In my previous blog I have explained about linear regression. In today’s post I will explain about logistic regression.
Consider a scenario where we need to predict a medical condition of a patient (HBP) ,HAVE HIGH BP or NO HIGH BP, based on some observed symptoms – Age, weight, Issmoking, Systolic value, Diastolic value, RACE, etc.. In this…
Added by suresh kumar gorakala on October 9, 2015 at 9:13am — No Comments
It’s the age of digital and we are all wired in. Smart phones, tablets, hundreds of television channels, thousands of apps, social media, and online shopping are part of our…
Added by Michael Meyers on October 2, 2015 at 8:30am — No Comments
Added by Trips Reddy on September 16, 2015 at 1:14pm — No Comments
There’s conflicting opinions on when the term Big Data really came onto the scene, but it is undeniable that its notoriety…
Added by Michael Meyers on September 15, 2015 at 1:02pm — No Comments
To improve decision outcomes and operational performance, financial markets firms are incorporating new technologies such as advanced analytics to speed trends analysis and behavior pattern recognition in ever-larger data sets, including big data. The new technologies apply not only to investment risk and return management, but also to…Continue
Added by Gabriel Lowy on September 9, 2015 at 9:08am — No Comments