Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.
Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…Continue
We talk a lot about making decisions based on data but we need to be careful about how hard and fast those decisions are. Our decisions are only as good as our data and our analysis.
Neither can be perfect. Data is always a sample of the full scope of reality and analytics is always an interpretation…Continue
Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!
These books require different levels of existing knowledge, and while some are for…Continue
It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.
Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.
If you haven’t seen any…Continue
Added by Lee Baker on August 18, 2016 at 5:30am — No Comments
Data scientist is the ‘Sexiest Job of the 21st Century’, so say Thomas Davenport and DJ Patil in their seminal 2012 Harvard Business Review article.
Since then, data scientists have been very much in demand and their wages have soared. Compared to statisticians, computer programmers and AI guys (who are still regarded as geeks), they are extremely well paid.
I keep hearing Data Scientists say that ‘Statistics is Dead’, and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates.
So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? And are they right?
Is statistics dead or is it just pining for…Continue
This blog was originally published on the AYLIEN Text Analysis blog.
We wanted to gather and analyze news content in order to look for similarities and differences in the way two journalists write headlines for their respective news articles and blog posts. The two reporters we selected operate in, and write about, two very different industries/topics and have two very different writing…Continue
Today we are really happy to host a post from Ariadni-Karolina Alexiou or Caroline in short. Caroline is a Data Engineer, with deep expertise in Python for Data Applications, Web…Continue
Added by George Psistakis on May 20, 2016 at 3:00am — No Comments
Here are three useful resources for learning about Data Science:
Added by Ujjwal Karn on May 18, 2016 at 8:59am — No Comments
Unless you’ve recently graduated from one of the new Data Science courses that have been popping up online and in various universities around the world, then becoming a Data Scientist was most likely slightly accidental and was more about the journey than the destination.
Here’s my journey. See if you recognise any of it in your own:
I started out as a physicist and had a strong mathematical grounding, but I had a passion for medicine. After completing my bachelor’s…Continue
RATINGS ARE OVERRATED
‘Service is great, but the desserts are bad”. Overall rating 4.5/5.
Many times we have gone into a restaurant alone or in a group, came out happy and still rated it a 3 or a 4 on social media. Does any one check why 2 precious points were deducted? No one will read your review unless the overall rating dips below 3.5. Is it an healthy practice? Of course not.
Frankly, no one is to blame except the rating scales and NPS…
Added by Manas Ranjan Kar on December 28, 2015 at 7:57am — No Comments
Natural Language Processing (NLP) is a messy and difficult affair to handle. Preprocessing, machine learning, relationships, entities, ontologies and what not.
Word embeddings/representations – ever since they came in with great work of Mikolov et al, they have been revolutionary to say the least. The concept itself is very intuitive and motivates deeper understanding fora wide range of applications. The…Continue
Added by Manas Ranjan Kar on December 28, 2015 at 7:53am — No Comments
Before you even start writing your CV, it is important to understand what the objective of your CV actually is…
The answer should be to secure you an interview - that’s it. Your CV alone will not land you that dream position although it is a very important document in the process.
We’ve heard clients say, “I can tell a good applicant from a CV” Well, in fact, they can’t. Whilst a good CV will definitely help identify an applicant worth interviewing, it is…Continue
There is an updated version (as of September 28, 2015) of my presentation
‘A Statistician’s 'Big Tent' View on Big Data and Data Science’
at http://goo.gl/tiqLQs …Continue
Added by Prof. Dr. Diego Kuonen on October 12, 2015 at 9:12am — No Comments
We are launching dataX.
To begin with, we want to solve the pain of data prep - searching, extracting, aggregating, cleansing and preparing datasets for analysis - not by promising another tool to magically do this but by creating a growing repository of curated, cleansed and readily analyzable features powered by you and other data scientists like you.
New ways of thinking.
dataX, our new platform, is born…
Added by Mohan Singh on September 10, 2015 at 2:02am — No Comments
Good customer service data help organizations improve quickly. How does the organization ensure the data is smart enough to take action. In spite of the tools available to make it smart, the quality of the data is dependent on the customer. He or she has to feel confident enough in the experience of the product before supplying the vital information. The experience generates a multitude of emotions, ranging from complete satisfaction to disgust. They are embedded in data, but…Continue
Added by Salil Sheth on August 21, 2015 at 4:01am — No Comments
Here's a different angle on a much analyzed question at the heart of our professional activities. In this article, Steve Miller of Inquidia tackles how NoSQL has changed our traditional understanding of Predictive Analytics and Data Science. You might also look back at our previous post How NoSQL Fundamentally Changed Machine Learning.
Here's the beginning…Continue
Added by William Vorhies on August 7, 2015 at 7:11am — No Comments
Added by John Geer on May 6, 2015 at 3:30am — No Comments
During my 30 years of analytics career, prospective employers and clients have often asked me: "How can you help us with data-driven insights when you have not worked in this industry before?". I argue for greater emphasis on machine learning skills in the data scientist and their partnership with domain experts as an effective pathway to bring data science to a business.
Clearly, the description of data scientist as the mythical unicorn who has computer science skills,…Continue
I've always been interested in data, how it's interpretted and the different ways it can be sliced. However, I've always considered statstics itself to be a math that I didn't like. As "data science" and "big data" became more popular, however, I started to look into ways to learn more about it and possibly use it as a entry into another act of my career.
The advent of MOOCs has opened up the possibility of learning new subjects and subject-focused websites like Data Science Central…Continue