What and who is IT community? What does it take to be part?
This blog post is long over due and has been rattling in my head for long time. Simply and boldly put it, community is everyone involved behind the result of...continue reading.
This blog post is long over due and has been rattling in my head for long time. Simply and boldly put it, community is everyone involved behind the result of...continue reading.
Kullback-Leibler divergence is not just used to train variational autoencoders or Bayesian networks (and not just a hard-to-pronounce thing). It is a fundamental concept in information theory, put to use...continue reading.
If you are a professor teaching or a student enrolled in machine learning program or non-technical program with a machine learning hands-on lab becoming a member of the H2O.ai Academic...continue reading.
A new field of Machine Learning is born: Causal Machine Learning. Learn here what it is and why it is crucial for the future of Data Science. Der Beitrag Machine...continue reading.
Broadcasting, as done by Python’s scientific computing library NumPy, involves dynamically extending shapes so that arrays of different sizes may be passed to operations that expect conformity – such as...continue reading.
Two weeks ago I flew from New York to Warsaw, Poland to begin a new role at Appsilon Data Science. On Saturday, I’ll be flying right back in the other...continue reading.
A few weeks ago, several of our colleagues here at STATWORX participated in an exciting time series competition, hosted by a large german-based company. This was the opportunity for us...continue reading.
TensorFlow 2.1, released last week, allows for mixed-precision training, making use of the Tensor Cores available in the most recent NVidia GPUs. In this post, we report first experimental results...continue reading.
There are some very important differences between a Kaggle competition and real-life project which beginner Data Scientists should know about. Kaggle creates a fantastic competition spirit. This is a guest...continue reading.
There are some very important differences between a Kaggle competition and real-life project which beginner Data Scientists should know about. Kaggle creates a fantastic competition spirit. This is a guest...continue reading.
By the end of 2019, I finally managed to wrap up my third R package YAP (https://github.com/statcompute/yap) that implements the Probabilistic Neural Network (Specht, 1990) for the N-category pattern recognition...continue reading.
The working group of Statistics at Humboldt University of Berlin invites applications for one Postdoctoral research fellow (full-time employment, 3 years with extension possible) to contribute to the research on...continue reading.
Tutorial to fastai ULMFiT model for classification texts (and some of the theory behind it) 🤖📚continue reading.
Differential Privacy guarantees that results of a database query are basically independent of the presence in the data of a single individual. Applied to machine learning, we expect that no...continue reading.
TensorFlow Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a TensorFlow graph, along with...continue reading.
H2O engineers continually innovate and introduce new techniques by adopting latest research, working on cutting edge use cases, and participating and winning machine learning competitions like Kaggle. But thanks to...continue reading.
Continuing our tour of applications of TensorFlow Probability (TFP), after Bayesian Neural Networks, Hamiltonian Monte Carlo and State Space Models, here we show an example of Gaussian Process Regression. In...continue reading.
Intro + hackathon description Have you ever participated in a hackathon? A month ago my answer was still no (despite the fact that I’ve been working in the R Shiny/Data...continue reading.
Welche Möglichkeiten und Anwendungen bietet das Thema Deep Learning heutzutage? Wie verschafft man sich einen guten Überblick und wie gelingt der Einstieg? Zum Beispiel mit dem STATWORX Deep Learning Bootcamp!...continue reading.
Auth0 Data Team shares their tooling, from R to Python, their favourite open-souce libraries for data science and data engineering 🛠continue reading.