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 —
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 that… Continue
Added by Jayesh Bapu Ahire on June 18, 2018 at 2:30am —
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… Continue
Added by David Ayers on June 17, 2018 at 11:30pm —
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 way.
As most of you will know, a buyer’s journey starts from the awareness stage, where he… Continue
Added by Hemant Warudkar on June 17, 2018 at 8:00pm —
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 things they could not do alone.
Similarly, RPA… Continue
Added by Pedro URIA RECIO on June 17, 2018 at 3:30am —
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 —
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 —
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 in their journey. Whether you are an employer or a candidate searching… Continue
Added by Sandeep Raut on June 16, 2018 at 3:30am —
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 —
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 —
I've been incredibly fortunate as of late to work on an exciting STEAM project! STEAM stands for science, technology, education, art and math. It's a term typically used in reference to education projects combining the subjects to…
Added by Laura Ellis on June 13, 2018 at 11:00am —
In PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R -- Part I, I began to discuss how data that was too big for RAM is handled in R, a memory-constrained statistical platform. I attempted to demonstrate the potential of working… Continue
Added by steve miller on June 13, 2018 at 10:00am —
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 —
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 —
Summary: Data Science is the secret sauce that turns the dumb internet into the smart internet driving changes in society as fast as we drive changes in the internet. The best place to find data on this is Mary Meeker’s Internet Trend Report 2018. Here we use that data to look back at the last year and forward a bit in time to see what impact data science is having.
Added by William Vorhies on June 12, 2018 at 8:30am —
Hello, this is my third article about how to use modern C++ for solving machine learning problems. This time I will show how to make a model for polynomial regression problem , with well known linear algebra library called Eigen.
Eigen was chosen because it is widely used and has a long history, it is highly optimized for CPUs, and it is a header only library. One of the famous project using it is… Continue
Added by Kyrylo Kolodiazhnyi on June 11, 2018 at 11:00pm —
BOOK : Big Data in Engineering Applications, SPRINGER. Editors: Roy, S.S., Samui, P., Deo, R., Ntalampiras, S. (Eds.).
The most anticipated book titled "Big Data in Engineering Applications" has been published by Springer.
This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from… Continue
Added by Sanjiban Sekhar Roy on June 9, 2018 at 8:30pm —
The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering problem, can be dramatic. It can result in a totally different cluster structure. Frequently, this is not a desirable property, yet it is rarely mentioned in textbooks. I think all clustering software should state in their user guide, that the algorithm is sensitive to scale.
We illustrate the problem here, and propose a scale-invariant methodology for… Continue
Added by Vincent Granville on June 9, 2018 at 2:30pm —