Big Data Automation Tools For Creating Immediate Business Value from Real-Time Data
Big data is transforming the way organizations understand their customers. It helps companies target specific customer segments, understand which demographic groups prefer which products, and what to market to whom (and when) to increase sales. Big data enables companies to derive insights about customer behaviour in order to make the better business decisions that result […]
Coding Challenge: Call For Code 2018
It’s not your everyday coding challenge; Call for Code is a global initiative that brings together developers, data professionals, celebrities, humanitarian response agencies, tech influencers, and major tech brands to search for a solution to one of the most devastating problems on the planet. IMHO, the lavish cash prizes are cool, but it’s the cause […]
CALL FOR CODE 2018!
Call for Code is an empowering cry to developers to drive a long-lasting positive change in the world with their code using their skills and mastery of the latest technologies. Are you up to the CHALLENGE? Are you a techie with some decent coding experience and you’d LOVE TO MAKE A POSITIVE IMPACT while USING […]
Choosing the Best Deep Learning Framework | A Review of the Top 5
Today’s guest post is all about choosing the best deep learning framework. To facilitate this, our writer has gone into a brief introduction on what deep learning is, and then has provided a review for the top 5 best deep learning framework on the market today. [disclaim]Today’s post is a guest post that was written […]
Interactive Data Visualizations Using R
Data visualization is as much an art as science. There are many tools for producing visualizations in R. Some of the popular ones are ggplot and ggvis. Although ggplot is an amazing tool for creating static visualizations, it tends to fall short in performance when you need to create interactive data visualizations. Same is the […]
Beyond the Buzz | Creating Value from Big Data Analytics in 2018
It’s 2018. Big data has evolved. It’s no longer perceived as the phantasmal mystery it once was. No, big data has matured. Interest and adoption are at steady-state. In fact, big data is such a routine part of an organization’s data skill sets that we don’t even call it “big data” anymore. It’s just data […]
Customer Profiling and Segmentation in Ecommerce
Today’s post provides an overview, example, and conceptual demonstration of customer profiling and segmentation. “Half the money I spend on advertising is wasted; the trouble is I don’t know which half” – John Wanamaker I believe that to be one of the most powerful quotes that describe the dilemma of marketers in the most appropriate […]
Benefits of Automation of Process in Business | Featuring Big Data and AI
The automation of process in business is a very important tool. It’s usage is increasing day-by-day to improve both the service and quality of business process. Additionally, big data adoption has matured. Big data is no longer a trend or possibility waiting on the horizon. Big data adoption stats reached an all-time high of 53% […]
WebScraping with Python and BeautifulSoup: Part 1 of 3
In today’s demo, I am going to teach you about the basics of using WebScraping with Python and BeautifulSoup. You’re going to see the objects that comprise Beautiful Soup, and how to work with them.
15+ Tips on Building An Awesome Data Science Blog
If you’ve been following along with the Data-Mania blog recently you’ve already learned why making your own branded space on the web is a game-changer for working professionals and independent data consultants. Today we’re going to talk about how you can become the owner of an awesome data science blog that delivers you loads of […]
How To Win Kaggle: Hear Owen Zhang Spill His Secrets…
Many people are already skilled in data science, yet struggle to find a job. This difficulty usually arises from the person’s approach to finding work. This issue is one of the things I help my proteges overcome in the coaching program. As part of that effort, we get them signed-up for Kaggle and submitting some […]
[Course] Quickly Learn to Make a Recommendation Engine in Python
Quickly Learn to Make a Recommendation Engine in Python [Course] Welcome from Introduction to Python Recommendation Systems for Machine Learning by Lillian Pierson, P.E. Ever wanted to learn to make a recommendation engine in Python? I mean, recommendation engines are a seriously valuable data science product. Just ask NetFlix and Amazon! They’ve made […]
21 Secret Confessions Everyone Should Hear Before Becoming a Data Scientist
(Preface: Today’s post is a guest post that was written by Aaron Gendle, a Senior Consultant and Data Architect at Eccella. In this post he has crowd-sourced comments from data scientists that everyone should here before deciding to become a data scientist.) According to the Harvard Business Review, “Data Scientist” is the sexiest job of the […]
Of These Top 20 Free Analytics Tools My Favorite is (Drum Roll, Please…)
Of These Top 20 Free Analytics Tools My Favorite is (Drum Roll, Please…) Just last week, Sam Scott published a very helpful article called “16 Free and Open-Source Business Intelligence Tools” on DZone. I thought it would be nice to add a few of my favorite free analytics tools to the list, and then provide a […]
Google Bought Kaggle: With Benevolent or Nefarious Intentions?
Google Bought Kaggle: With Benevolent or Nefarious Intentions? Last Wednesday, on the Google Cloud Platform Blog, Fei-Fei Li (Chief Scientist of AI/ML, Google Cloud) announced that Google bought Kaggle, the popular machine learning competition platform. In that announcement, Li made statements that were abundantly clear as to why Google bought Kaggle. Those are as follows. […]
Custom Web-Based Data Visualizations Using Plotly and R Notebooks
Custom Web-Based Data Visualizations Using Plotly and R Notebooks Want to build awesome interactive, web-based, collaborative data visualizations for free using R? You can do that with Plot.ly! What Plot.ly does is take your R code, and based on that, produces really nice interactive charts in D3.js. This allows you to build great customized, sharable […]
Get TAP for fast big data deployment in a secure open-source environment.
In today’s post, you’re going to get an introduction to a new platform that makes it easier to manage and implement a fast big data deployment. That platform is called Trusted Analytic Platform. Strata-Hadoop World pioneer, Martin Hall, giving this year’s keynote Directly following Martin Hall’s thought-provoking keynote (‘Collaboration and openness drive innovation in artificial intelligence’) […]
Demonstrating Analytics-as-a-Service with Twitter Hashtag Analysis in Watson Analytics
For our last installment in this 3-part series on analytics-as-a-service, I’m going to provide you a quick and dirty demonstration of how to use Watson Analytics to analyze hashtag data from the Twitter social network. Step 1: Log-in to Watson Analytics and Add Your Data Once you get inside of Watson Analytics, you’re going to […]
What is a dashboard & 4 steps for creating a good one…
If you find yourself at meetings and are still asking yourself “What is a dashboard?”, then don’t be embarrassed! The majority of business professionals in today’s data-driven environment are in that same position. This article answers that exact question, and gives you some great tips on how to get started building one for yourself. What […]
Using Statistical Algorithms for Success in Kaggle’s Data Science Competition
dRecently, predictive modeling platform Kaggle hosted a Big Data Combine competition to predict short term changes in the prices of stocks. The competition was hosted by the tournament platform BattleFin – a platform that’s dedicated to crowdsourcing investment analysis talent. Big Data Combine competitors were supplied news data and sentiment data by RavenPack. They are […]
The 4 Types of Data Analytics
(A vlog post on data analytics) This vlog piece was filmed in Penang, Malaysia and introduces viewers to the 4 types of data analytics. The 4 Types of Data Analytics Descriptive Answers the question, “What Happened?”. Diagnostic Commonly used in engineering and sciences to diagnose “what went wrong?”. Predictive Used to predict for future trends […]
