# Marco Unternaehrer

Data Scientist & Software Engineer | studied CS at University of Zürich/ETHZ, and business at University of Bern | interested in AI | @AIESEC alumnus

### OKRs from a development team’s perspective

Most of the companies I’ve worked for in the last 5 years have used the OKR system. Although this system was invented in the 70s, it has more recently become popular at Google and has spread …

### First Impressions of Data Science Version Control (DVC)

A Powerful New Machine Learning Tool

### Quantile regression, from linear models to trees to deep learning

Suppose a real estate analyst wants to predict home prices from factors like home age and distance from job centers. The typical goal will…

### dvgodoy/handyspark

HandySpark - bringing pandas-like capabilities to Spark dataframes - dvgodoy/handyspark

### Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber

Uber Engineering introduces a new Bayesian neural network architecture that more accurately forecasts time series predictions and uncertainty estimations.

### Lying with Maps - MAUPs, Choropleths, and Tornadoes...oh my

This video looks at the problem of lying with maps, where communicating what happens in the world can easily be manipulated either unintentionally or intenti...

### Things you’re probably not using in Python 3

Many people started switching to Python 3, unfrotunetly most people still write their code like it is Python 2. Below are useful Python 3 features.

### The Third Wave Data Scientist

comments By Dominik Haitz, IONOS. Introduction Drew Conway’s visualization of the data science skill set is an often cited classic. Different opinions and the versatility of the role have spawned…

### Bloomberg

Bloomberg connects decision makers to a dynamic network of information, people and ideas. Read this story on Bloomberg.

### mwouts/jupytext

Jupyter notebooks as Markdown documents, Julia, Python or R scripts - mwouts/jupytext

### Jeff Bezos Sums Up What Separates Winners from Dreamers in Just 2…

by Tom KoulopoulosThere may be no single formula for success, but Jeff Bezos’s annual letter to stockholders comes darn close. Few figures have captured our attention the way Amazon founder and CEO…

### Principles and Techniques of Data Science

This is the textbook for Data 100, the Principles and Techniques of Data Science course at UC Berkeley. Data 100 is the upper-division, semester-long data science course that follows Data 8, the…

### Microsoft/BlingFire

A lightning fast Finite State machine and REgular expression manipulation library. - Microsoft/BlingFire

### Versicherer sparen hunderte Millionen dank Softwarelösung

Von insgesamt 30 Milliarden Franken Leistungskosten, die von den Schweizer Krankenkassen übernommen werden, führt ein beträchtlicher Teil zu Falschzahlungen. Felix Musterle, Division Head Health &…

### A Practical Guide To Hyperparameter Optimization

Training deep learning models can be tough. They don't work without the right hyperparameters. Here's how you can use algorithms to automate the process.

### Understanding random forests with randomForestExplainer

After selecting a set of most important variables we can investigate interactions with respect to them, i.e. splits appearing in maximal subtrees with respect to one of the variables selected. To…

### Data Science Version Control System

DVC is designed to handle large data files, models, and metrics as well as code. DVC is an open-source framework and distributed version control system for machine learning projects.

### Full Stack Deep Learning

Hands-on program for software developers familiar with the basic of deep learning to get experience with the full stack.

### How machine learning could give KPIs new meaning

Machine learning can help companies to identify entirely new metrics for a fast-changing market, writes Tom Bacon It is widely acknowledged today that machine learning is already helping companies…

### Two essential Pandas add-ons

These two must-have UIs will help you level-up your Pandas skills

### How to Define KPIs for Successful Business Intelligence l Sisense

Identifying your KPIs essentially decides what your business intelligence system is going to measure. This data analysts' guide will help you get there.

### A Guide To Conduct Analysis Using Non-Parametric Statistical Tests

Statistical tests are used for making decisions about a process and to perform analysis using the median, we make use of non-parametric tests.

### What statistical analysis should I use? Statistical analyses using SPSS

This page shows how to perform a number of statistical tests using SPSS. Each section gives a brief description of the aim of the statistical test, when it is used, an example showing the SPSS…