For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models. You don’t want to spend a lot of time creating these base line classifiers; you would rather spend that time in building and validating new features for your final model. In this post we will see how we can rapidly create base line classifier using scikit learn package for any dataset.…
Added by Gopi Subramanian on June 6, 2017 at 9:30am —
According to the IT programming trend, Java is currently more popular than other programming languages in terms of number of jobs, number of existing Java developers and overall usage statics in IT compared to Python. According to the latest usage statistics posted on a popular Technology Survey site, Java is being used by 3.0% websites as a server-side programming language, whereas only 0.2% of websites use Python.… Continue
Added by Venkatesan M on May 15, 2017 at 10:30pm —
Summary: Someone had to say it. In my opinion R is not the best way to learn data science and not the best way to practice it either. More and more large employers agree.
Someone had to say it. I know this will be controversial and I welcome your comments but in my opinion R is not the best way to learn data science and not the best… Continue
Added by William Vorhies on May 15, 2017 at 4:30pm —
Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century. Data Scientist mine thru the large dataset to gain insight and make meaningful data driven decisions. Python is used as general purposed programming language and used for Web Development, Networking, Scientific computing etc. We will be discussing further about the series of awesome libraries in…
Added by Vinay Babu on May 14, 2017 at 4:00am —
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.
What is Deep Learning and Artificial Neural Networks?
Deep Learning is the modern buzzword for artificial neural networks, one of many concepts… Continue
Added by Kai Waehner on April 23, 2017 at 9:00am —
Summary: The largest companies utilizing the most data science resources are moving rapidly toward more integrated advanced analytic platforms. The features they are demanding are evolving to promote speed, simplicity, quality, and manageability. This has some interesting implications for open source R and Python widely taught in schools but significantly less necessary with these more sophisticated platforms.
Added by William Vorhies on December 20, 2016 at 8:38am —
Machine Learning is a vast area of Computer Science that is concerned with designing algorithms which form good models of the world around us (the data coming from the world around us).
Within Machine Learning many tasks are - or can be reformulated as - classification tasks.
In classification tasks we are trying to produce a model which can give the correlation… Continue
Added by Ahmet Taspinar on December 15, 2016 at 2:00pm —
Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python.
Don’t fret, by the time you’re done reading this article, you will know without a doubt which language is the right one for you.
Added by Aatash Shah on November 1, 2016 at 9:30pm —
Beer is delicious but it is not one thing. If you disagree with the former part of the previous sentence please keep the latter in mind. Think of sports, for instance. Many would agree with the blanket statement "sports are fun" but depending on what you have in mind two people can easily have opposite reactions to being presented the opportunity to play ping-pong. Sports are not one thing, music is not one thing, and neither is beer.
Presented with a finely crafted brew in… Continue
Added by Reginald Eps on September 28, 2016 at 10:30am —
Visual Analytics and Data Discovery allow analysis of big data sets to find insights and valuable information. This is much more than just classical Business Intelligence (BI). See this article for more details and motivation: "Using Visual Analytics to Make Better Decisions: the Death Pill Example". Let's take a look at important characteristics to choose the right tool for… Continue
Added by Kai Waehner on July 27, 2016 at 10:00pm —
Added by Marc Borowczak on July 4, 2016 at 9:00am —
Summary: Picking an analytic platform when first starting out in data science almost always means working with what we’re most comfortable. But as organizations grow larger there is a need for standardization and for selecting one, or a few analytic tools.
Picking an analytic platform when first starting out in data science almost… Continue
Added by William Vorhies on May 31, 2016 at 7:00am —
This article is no longer available. We apologize for the inconvenience. To read more about Python versus R, click here. An excellent Python guide can be found here.
Added by William Vorhies on November 18, 2015 at 10:00am —
I spent way too much time sorting through all the information collected on Data Science. All I knew in the beginning is that it had something to do with math and statistics and algorithms (which are love), and computers (which are hate not so much love). It's finally starting to fall into place. I made a preliminary list of all the things I should learn. In the process, I stumbled upon Clare Corthell's "Open Source Data Science Master's… Continue
Added by Elma Bratovic on October 3, 2015 at 9:37pm —
DataJoy is an unbelievably fantastic way for a working data scientist to have their favorite tools at hand. I am a minimalist when it comes to being mobile, whether working on the road, traveling for leisure, and sometimes both. I do not like to keep files on my laptop and I do not, for the most part, like to worry about keeping updated applications on my laptop. I have tried as much as possible to push my life into the cloud. Yes, I travel with a chromebook. Yes, I use… Continue
Added by Dr. William Tribbey on September 19, 2015 at 10:00am —
I have a query around whether to learn R from scratch or should I leverage my basic python knowledge to extend into Data Science with scikit,numpy ,pandas? So I am bit confused ... I am not shy to learn New programming language like R etc bur really need to know who edges out whom in market. Maybe i should learn R too along with Python so your valuable opinion matters.
Also i am playing around with IBM's MessageSight product for Internet of things so… Continue
Added by Perminder Singh on January 12, 2015 at 10:09am —
Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some… Continue
Added by Manish Bhoge on February 7, 2014 at 9:22pm —
New! Plotly lets you style interactive graphs in IPython. Then, you can share your Notebook or your Plotly graph. It's like having the NYTimes graphics department inside your IPython.
You can also get these Notebooks on the Plotly GitHub page. Visit Plot.ly to see more documentation. …
Added by Matthew Sundquist on December 2, 2013 at 12:30am —
Hey Data Scientists,
I wanted to reach out about Plot.ly, a new startup for analyzing and beautifully visualizing data. We just launched a beta.
It is built for math, science, and data applications. We'd love your thoughts.
- You can import data from anywhere, and analyze it in our grid with stats, fits, functions, and…
Added by Matthew Sundquist on November 9, 2013 at 10:40pm —
Text (word) analysis and tokenized text modeling always give a chill air around ears, specially when you are new to machine learning. Thanks to Python and its extended libraries for its warm support around text analytics and machine learning. Scikit-learn is a savior and excellent support in text processing when you also understand some of the concept like "Bag of word", "Clustering" and "vectorization". Vectorization is must-to-know technique for all machine leaning learners, text miner… Continue
Added by Manish Bhoge on September 25, 2013 at 9:47am —