We live in a world where speed is of the essence. Consumers would rather look for alternatives than wait for a website that takes 2 minutes to load, which is why mobile applications are the next best thing. With information and data right at your fingertips, it’s the go-to solution for companies looking to expand their customer base and increase their ROI.Read Full Story
In an era where e-commerce and retail brands are competing against each other to gain consumer attention, Louis Vuitton has not only managed to survive and sustain but also pull a lucrative deal with one of the world’s oldest and most well-known jewelry brand.Read Full Story
” Companies today need to focus on coordinated customer experience – where Sales and Marketing work as a team at every stage of the account journey.”
What comes to mind when you think of Dreamforce?
Dreamforce can be overwhelming. It’s a very large and noisy event, where you can reach a thousand people with your message and still hit less than 1% of the whole show.
For econ topics where info is relevant, including key areas of mechanism design, and law & econ, we often make use of a key distinction: verifiable versus unverifiable info. For example, we might say that whether it rains in your city tomorrow is verifiable, but whether you feel discouraged tomorrow is not verifiable.Read Full Story
Our office Wheel of Destiny is the most actionable of data. The results tell you where to go to lunch. No questions asked.
Actionable. Is there an adjective that is more fun to put in front of the word data? Perhaps big.I’m as guilty as anyone. After all, the third step in our data storytelling framework is Action.
We are now accepting applications for our third class of OpenAI Scholars, a 4-month full-time program where we provide stipends and mentorship to 8 individuals from underrepresented groups to study deep learning and produce open-source a project. The second class of Scholars recently released their projects and presented their work at the 2019 Scholars Demo Day.Read Full Story
In an era where fake news travels faster than the truth, our communities are at a critical juncture.With 2.5 quintillion records of data created every day, people are being defined by how they travel, surf the internet, eat, and live their lives. We are in the midst of a “data revolution,” where individuals and organizations can store and analyze massive amounts of information.Read Full Story
Welcome! If you’re interested in the exciting world of data science, but don’t know where to start, Data School is here to help.Read Full Story
Where do you find books to read? Do you ask your friends, follow reviews or seller recommendations, or just go for the bestsellers? Whether you like your books on paper or downloaded, you have to know it exists to read it, and because we’re in the twenty teens, there’s a social way to do it online.Read Full Story
Let’s consider a business deal where there are multiple parties negotiating the terms. In such a situation, it’s usually not possible for every single party to get everything it wants. They need to optimize their demands so that everyone comes out with something positive.Read Full Story
Read the thread.1) So here’s where this is all going:I submit that Trump may ultimately demand that Republicans *fully* defend his pressure on Ukraine to investigate *Biden in particular,* without any squeamish double-talk about investigating “corruption.”*MINI-THREAD*— Greg Sargent (@ThePlumLineGS) November 4, 2019Love the Archive.Read Full Story
Kaggle was founded on the principles of meritocracy, and our community has thrived as a place where anyone—regardless of background or degree—can earn accolades for their performance in machine learning competitions. Over the years, we’ve seen how one’s Kaggle rankings in competitions and community contributions can serve as powerful credentials in the data science industry.Read Full Story
Considerations for a world where ML models are becoming mission critical.In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations.
Let’s begin by looking at the state of adoption.
When it’s not you AND it’s not them — turns out that where we live has a huge impact on our dating journey.Undressed is a column about gender, social norms, dating rules and what happens when we break them. Read the last Undressed here.Sometimes I forget that the way I date here in New York City is unique. NYC is the most densely populated city in the US.Read Full Story
There are occasions where we might want to download only a folder from someone’s Github repository instead of the entire repository (at least for me, yes). After doing some Googling, I finally managed to find the way to do it. This is for Windows.Outlining the steps involved as follows (using the ‘notebooks’ folder from my repository as an example):1) Go to http://subversion.Read Full Story
Welcome to part 2 of the JackBlockChain, where I write some code to introduce the ability for different nodes to communicate.
Initially my goal was to write about nodes syncing up and talking with each other, along with mining and broadcasting their winning blocks to other nodes.
At OpenAI, each Thursday is Learning Day: a day where employees have the option to self-study technical skills that will make them better at their job but which aren’t being learned from daily work. We’ve found that the biggest contributions at OpenAI come from cross-functional experts, so we either need to hire them or grow them here.Read Full Story
The Second National Data Science Bowl, a data science competition where the goal was to automatically determine cardiac volumes from MRI scans, has just ended. We participated with a team of 4 members from Ghent University and finished 2nd!
The team kunsthart (artificial heart in English) consisted of Ira Korshunova, Jeroen Burms, Jonas Degrave, 3 PhD students, and professor Joni Dambre.
Kaggle is a Data Science community where thousands of Data Scientists compete to solve complex data problems.
In this article we are going to see how to go through a Kaggle competition step by step.
The contest explored here is the San Francisco Crime Classification contest. The goal is to classify a crime occurrence knowing the time and place it happened.
Here, the objectives are fixed by Kaggle.
Scala & Spark Specialization
Data science is a promising field, Where you have to continuously update your skill set by learning the new technique, algorithms, and newly created tools. As the learning journey never ends, we would always seek to find the best resources to start learning these new skill sets.