This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com.
Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout score, which in my opinion is not accurate. The list below is truly original and I would even add, somewhat unexpected, as you won't find…Continue
Added by L.V. on May 14, 2016 at 9:00am — No Comments
Enterprises make critical pricing decisions very often, these decisions have a major impact on their profitability index and also determines the bottom line of the organization. Often, managers and analysts are forced to determine prices and discounts with limited available information and inefficient toolsets. Pricing Analytics enables the leadership of a firm to proactively manage pricing policies and strategies and guides them to arrive at the right pricing that is in-line with company’s…Continue
Added by Tanmay Bhandari on May 14, 2016 at 3:43am — No Comments
Consumers are progressively adopting healthy and wellness-related practices. As a result, companies operating in the fitness centers business now see their customers base grow at rates never seen before. However, managers are also conscious of the volatility of consumers’ desires, particularly those…Continue
Added by Rafael San Miguel Carrasco on May 12, 2016 at 9:47am — No Comments
Starred articles are new additions posted between Thursday and Sunday, published in the Monday edition exclusively. The Monday edition has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content. The Thursday edition covers articles…Continue
Added by Vincent Granville on May 11, 2016 at 4:00pm — No Comments
This list was started in 2012, updated in 2014 and also very recently according to the author. It was compiled by 101.datascience.community, and broken down by degree (master / bachelor / certificate / doctorate) and location (online / on-site.) You can find other classes/training here -- some of…Continue
Added by Vincent Granville on May 11, 2016 at 3:30pm — No Comments
By: Rawi Nanakul and Marnie Morales
Rawi will present these ideas during a live webinar on May 24th at 9 AM PT / 12 PM ET. Get your questions answered in real-time during this one hour event. Register here
We create, interpret, and experience stories every day, whether we realize it or not. Our brains are constantly receiving input…Continue
Added by Kathleen VanDerAa on May 11, 2016 at 12:12pm — No Comments
This infographic came from Experts Exchange.
We may (sadly) live in a world devoid of flying cars and personal teleportation devices, but that doesn't mean technology isn't moving forward at an incredible pace. We compared the processing power for various computers and devices from 1956 to 2015 to visualize the 1 trillion-fold increase in performance over those six decades. By comparing each…Continue
Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision algorithms to automatically pilot a plane, a train, a boat or a car.
Many deep learning algorithms (clustering, pattern recognition, automated bidding, recommendation engine, and so on)…Continue
Did you know that Big Data can help us predict who the future football stars will be? This is precisely what happened in Riyad Mahrez’s case, PFA Player of the Year, who has conquered the English Premier League with Leicester City.
During last year’s Big Data Week Conference in London, Malta-based entrepreneur Valery Bollier correctly foresaw…Continue
Added by Jure Rejec on May 11, 2016 at 5:00am — No Comments
Summary: Continuing from out last article, we searched the web to find all of the most common myths and misconceptions about Big Data. There were a lot more than we thought. Here’s what we found. Part 2.
The world that we live in today becomes more technologically advanced by the day. These advancements have done wonders for society as a whole and have offered much improvement in productivity in the workplace. However, as more applications are being run and more data stored online, in addition to rapid cloud expansion, there is one obvious parallel that is seemingly unavoidable – increased security risks.…Continue
Added by Peter on May 9, 2016 at 1:30am — No Comments
The need for info within the twenty first century continues to intensify—and shows no sign of subsiding. Today’s decision manufacturers would like to be of an incredible volume and style of info, leading more companies to deploy analytics that not solely facilitate them sense and respond to key business problems, but additionally facilitate them build predictions and act based mostly on period of…Continue
Added by Priyanka Jain on May 9, 2016 at 12:30am — No Comments
Big data has been a big topic for a few years now, and it’s only going to grow bigger as we get our hands on more sophisticated forms of technology and new applications in which to use them. The problem now is beginning to shift; originally, tech developers and researchers were all about gathering greater quantities of data. Now, with all this data in tow, consumers and developers are both eager for new ways to condense, interpret, and take action on this data.
One of the…Continue
Logistic Regression is one of the most powerful classification methods within machine learning and can be used for a wide variety of tasks. Think of pre-policing or predictive analytics in health; it can be used to aid …Continue
Added by Ahmet Taspinar on May 7, 2016 at 9:30am — No Comments
In recent blogs, I have been distinguishing between quantitative data and narrative data. I believe that I separated the two forms relatively well. Although I originally focused on the differences in data in order to give narrative "its own space," actually there can be a symbiotic relationship between the two types of data. In my last blog, I said that quantitative data can be incorporated into narrative data. In my submission today, I will be discussing how the narrative can be used to…Continue
Added by Don Philip Faithful on May 7, 2016 at 6:39am — No Comments
Guest blog post by Bob Hayes, PhD, originally posted here. Bob is the Chief Research Officer at AnalyticsWeek. and President of Business Over Broadway. He graduated from Bowling Green State University, and he is currently leaving from Seattle.
Data scientists rely on…Continue
"Beyond improving profits and cutting down on wasted overhead, Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths."
Big data is everywhere and if you are not already embracing it then you are likely to be left behind. Companies are using big data to be able to target potential…Continue
The job of data scientist — the quintessential big data job, and the job that was just voted the best job in America for 2016 — is at risk.
Data scientists have been called “unicorns” because finding the right person with the right set of skills — including coding, statistics, machine learning, database management, visualization techniques, and…Continue
Summary: We searched the web to find all of the most common myths and misconceptions about Big Data. There were a lot more than we thought. Here’s what we found. Part 1.
Choosing features to improve a performance of a particular algorithm is a difficult question. Currently here is PCA, which is difficult to understand (although it can be used out-of-the-box), requires centralizing and scaling of features and is not easy to interpret. In addition, it does not allows to improve prediction performance for a particular outcome (if its accuracy is lower than for others or it has a particular importance). My method enables to use features without preprocessing.…Continue
Added by Maiia Bakhova on May 5, 2016 at 11:30am — No Comments