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Three Methods of Data Pre-Processing for Text Classification
Editor’s Note: Nick will be presenting on this idea of data pre-processing during the workshop “Choosing The Right Deep Learning Framework: A Deep Learning Approach,” at ODSC Europe in London this November! As a developer advocate at IBM, I work to empower AI, machine learning, and deep learning developers... Read more
From Data to Process to Decision
I recently published a paper entitled ”Intelligent Decisions: How Businesses Can Improve Processes Using Artificial Intelligence Technologies.” The work focused on the possibility of employing artificial intelligence in the business process management functions of the enterprise. I would like to further explore this concept and investigate the data science... Read more
Data-Driven Exploration of the R User Community Worldwide
Authors: Benaiah Ubah, Claudia Vitolo, and Rick Pack R is a programming language and environment for statistical computing and data visualization. An important component of the R ecosystem is its powerful user community, which has continued to expand around the world over the years. In a previous blog post we... Read more
Interpretable Knowledge Discovery Reinforced by Visual Methods
Editor’s Note: See Boris Kovalerchuk’s talk “Interpretable Knowledge Discovery Reinforced by Visual Methods” at ODSC West 2019. Visual reasoning and discovery have a long history. Chinese and Indians had visual proof of the Pythagorean Theorem in 600 B.C. before it was known to the Greeks. Scientists such as Bohr,... Read more
Accelerating Deep Learning Recommender Systems by Over 15x Using RAPIDS, PyTorch, and fast.ai
This June, the RAPIDS Deep Learning team took part in the RecSys 2019 Challenge, where we placed 15th out of 1534 teams despite joining the competition in its final weeks. The competition centered around recommending hotel listings to users of the website Trivago, who was the host of the competition. Given a... Read more
Timing the Same Algorithm in R, Python, and C++
While developing the RcppDynProg R package I took a little extra time to port the core algorithm from C++ to both R and Python. This means I can time the exact same algorithm implemented nearly identically in each of these three languages. So I can extract some comparative “apples to apples” timings. Please read on for a... Read more
How Do You Do an Arithmetic Expression Using Python?
Expressions are portrayals of significant value. They are unique in relation to explanation in the way that announcements work on something while expressions are portrayal of significant value. For instance any string is likewise an expressions since it speaks to the estimation of the string also. Python has some... Read more
8 Trending GitHub Projects for Summer 2019
GitHub is, without a doubt, the go-to place for repositories in the data science community. As such, we’ve decided to start an open-source data science project series. We’ll round up the best projects we find on GitHub for you to use and learn about. Each is a unique example... Read more
Where is Data Science Heading? Watching R’s Most Popular Packages May Have the Answer
Working as both a journalist and data scientist, I’m in a unique position to report on new tools of the profession as well as use them. I’m always seeking out trends surrounding the arrival of said tools because I feel they speak closely to the evolution of the field.... Read more
Deep Learning with TensorFlow 2.0
Editor’s Note: See Jon’s talk “Deep Learning with TensorFlow 2.0” at ODSC West 2019.  This summer, I had a blast speaking at Immersive A.I.—the first annual Open Data Science Conference (ODSC) event in New York. The venue was flawless, the organizers were exceptionally well-prepared, and there was a remarkable... Read more