Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.…
Added by Vincent Granville on June 19, 2018 at 8:30pm —
A few years ago, the impact of digitization was only established in top industries like Banking, Insurance, and Retail. Now times have changed – the recruitment industry is also adopting digital transformation.
Everyone is a candidate at some point… Continue
Added by Sandeep Raut on June 16, 2018 at 3:30am —
In my most recent blog, I discussed the idea of aligning the supply of services to market demand. My conceptualization of “alignment” specifically relates to time intervals: i.e. having people at the right place and at the right time - for example, to take advantage of opportunities - is a sign of alignment. Alignment for me is often about the relationship between capacity and incapacity: the ability to supply services versus the inability to satisfy the market demand… Continue
Added by Don Philip Faithful on June 16, 2018 at 6:30am —
C-3PO and R2-D2 are an odd couple in the Star Wars universe. C-3PO is a cowardly droid who obeys pre-defined protocols and routine tasks, while R2-D2 is a curious and adventurous robot who learns from previous problems, uses logical thinking and larger concepts to solve new problems. But together they do… Continue
Added by Pedro URIA RECIO on June 17, 2018 at 3:30am —
Previously, we looked at how Artificial Intelligence (AI) has changed the supplier side of the retail eco-system, especially on two fronts – Price and Product Offering. In this post, we shall analyze how it has affected the buyer’s journey at almost every step of the… Continue
Added by Hemant Warudkar on June 17, 2018 at 8:00pm —
Most of you reading this are probably more used to playing online casino games using real money. It's money you’ve earned, transferred from your bank account into your casino account. You could walk out right now, go to an ATM and withdraw it. What you’re not probably used to is using cryptocurrency for crypto coin casinos. In fact, you might not even know that cryptocurrency casinos are a thing that has been around for longer than you’d expect. We wouldn’t blame you.…
Added by David Ayers on June 17, 2018 at 11:30pm —
Credits: Google Images
This is the story from time when I was in initial years of my programming career and I was a huge fan of Jetbrains IDE’s (I am still), I was using Windows prominently at… Continue
Added by Jayesh Bapu Ahire on June 18, 2018 at 2:30am —
In this study, we predict the outcome of the football matches in the FIFA World Cup 2018 to be held in Russia this summer. We do this using classification models over a dataset of historic football results that includes attributes from the playing teams by rating them in attack, midfield, defence, aggression, pressure, chance creation and building ability. This last training data was a result of merging international matches results with AE games ratings of the teams… Continue
Added by Estefany Torres on June 19, 2018 at 8:30am —
Summary: Computational Synthetic Biology (CSB) is likely to be both the next big thing and perhaps most important field to exploit data science. As the name implies, this lies at the intersection of data science and biological research. Big advancements and big investments are already starting to occur here. Data scientists with deep learning skills will want to check this out.
Added by William Vorhies on June 19, 2018 at 7:55am —
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it is integral to Gartner’s vision of the digital enterprise and makes the Hype Cycle for 2017. It’s a major enabler of event processing as opposed to traditional request processing.
Added by William Vorhies on January 2, 2018 at 8:30am —
Added by Tim Matteson on January 7, 2018 at 9:00am —
Full title: Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems. Published June 2, 2018. Author: Vincent Granville, PhD. (104 pages, 16 chapters.)
This book is intended for professionals in data science, computer science, operations research, statistics, machine learning, big data, and mathematics. In 100 pages, it covers many new topics, offering a fresh… Continue
Added by Vincent Granville on June 2, 2018 at 9:00am —
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
- In a live webinar on June 21 at 2PM CT, watch Anaconda Data Scientist Tom Augspurger demonstrate how dask enables analysis of large datasets in parallel, using all the cores…
Added by Vincent Granville on June 16, 2018 at 6:30am —
This article was published by Andre De Castro on Blockgeeks. Andre is the CEO & Co-Founder of Blockchain of Things, Inc.
Blockchain has become a media buzz due to its unique and powerful qualities. While a lot of excitement exists for its use in both financial and identity applications, a new and more exciting area for this technology has emerged. It is … Continue
Added by Emmanuelle Rieuf on June 15, 2018 at 3:00am —
This article was written by Abby Jackson. Before joining Business Insider's education team, Abby was at JPMorgan where she worked in the chief investment office and treasury.
Stanford University's acceptance rate hit an all-time low for the class of 2020, with 4.69% of applicants…
Added by Emmanuelle Rieuf on June 14, 2018 at 7:00pm —
This article was written by Monica Rogati. Monica is an independent data science executive and advisor. She built key data products and teams at Jawbone and LinkedIn; she now helps companies make the most out of their data.
Do a project you care about. Make it good and share it.
There’s a lot of interest in becoming a data scientist, and for good reasons: high impact, high job satisfaction, high salaries,… Continue
Added by Emmanuelle Rieuf on June 14, 2018 at 11:00am —
The book "Mastering Machine Learning Algorithms" has been published by Packt
From the back cover:
Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more… Continue
Added by Giuseppe Bonaccorso on June 15, 2018 at 6:30am —
AutoEncoders and Parallel Computing with KernelML
The goal of this experiment was to find potential use cases where kernelml provides some benefit over existing packages, such as Keras or PyTorch, for building neural networks. One use case that seems to have potential is auto-encoding. An autoencoder can be used to construct latent variables from data. We can define the latent layer to be a … Continue
Added by Rohan Kotwani on June 18, 2018 at 5:05am —
Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s libraries that proved to be the most helpful at that moment. This year, we expanded our list with new libraries and gave a fresh look to the ones we already talked about, focusing on the updates that have been made during the year.
Our selection actually… Continue
Added by Igor Bobriakov on June 13, 2018 at 2:30am —
When anybody says data science, one can immediately associate complicated technical knowledge with the term. Data scientists are considered to be highly technical professionals that develop incredible theories, analytics, algorithms etc. based on data. And data immediately takes the mind towards the business world.
However, data science has roots way beyond the business world. It may be a technical concept but it is beautiful in the way it can be used to solve problems. On the other… Continue
Added by VAMSI NELLUTLA on June 13, 2018 at 4:30am —