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No one “perfect” method exists for filling in missing data; You can view this one picture as a starting point with some suggestions, rather than an absolute. Y…
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Another year, another few hundred charts and maps on FiveThirtyEight. (Not to mention our interactive graphics and updating dashboards.) To celebrate the end of…
For the past year, I’ve been working on implementing well known model architectures and building web applications, so I have a fair amount of refreshing to do when coming back to theoretical machine…
…So you finally managed to get the sexiest job in your company but have no clue about how to even get started as Chief Data Analytics Officer. Don’t worry! The…
Le capital de risque californien s'intéresse depuis longtemps aux entreprises en démarrage du Québec, mais aucune firme de la Silicon Valley ne s'était engagé
To stay at the forefront of the accelerating artificial-intelligence race, business executives can study up on the ABCs of AI using this interactive.
With no easy avenues to get a simple and intuitive understanding of deep learning, here is a simple introduction. The distinction from machine learning is explained with the business implications.
In this piece, my goal is to suggest the mathematical background necessary to build products or conduct academic research in machine learning. These suggestions are derived from conversations with machine learning engineers, researchers, and educators, as well as my own experiences in both machine learning research and industry roles.
Blockchain offers organisations an opportunity to build a better organisation, but where do you start? Here is a blockchain strategy roadmap to help you.
In Today’s data era, it is very important to represent data in a way which is suitable for every type of user (Technical or Non-Technical). Use of data visua…
Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to…
Lors du Swiss Data Day 2017, nous avons eu l’occasion de partager et de discuter sur les bonnes pratiques dans la Data Science. Une de ces bonnes pratiques consiste à commencer par l
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Learn more about the new data management paradigm - the data lakehouse -- its evolution, adoption, common use cases, and its advantages over previous systems and technologies.
The past year has been a great one for AI and Machine Learning. Many new high-impact applications of Machine Learning were discovered and brought to light, especially in healthcare, finance, speech…
Do you know the difference between artificial intelligence and machine learning? And can you explain why computer vision is an AI technology? Read our overview to understand these and other technologies behind the AI craze.
Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. Within those areas there are dozens of…
Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic…
This in-depth article takes a look at the top Machine learning algorithms that you should know in order to become a data scientist. Also explore learning style.
Lors de la dernière conférence au Chief Data Officer Exchange, une discussion a eu lieu sur le rôle d'un CDO dans une organisation et plus précisément sur la manière dont le CDO peut créer de la valeur à partir des données. Au cours des 20 dernières années, nous avons toujours cru à l
What do experienced data scientists know that beginner data scientists don't know? Here is a quick overview.
Automating tasks. Writing code that writes code.…
Sat across from the interviewer for your dream job, you may start to feel the pressure. A sure-fire way to quash the interview jitters is to prepare as much a…
Here is a list of potential projects to help you complete your master in data science or in a related field.
Project #8: Detecting fake reviews on Amazon Bu…
Most people seem a bit intimidated or confused by machine learning. What is it? Where is it going? Can I have some money now please? All valid questions. The truth is, you’ve been training machine lea
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Comment devenir un super scientifique de donneés!