Python-bloggers

New Course: Introduction to Airflow in Python

June 2, 2020 | Lis Sulmont

Apache Airflow is a crucial part of the data engineering ecosystem. That’s why our introductory data engineering courses, Introduction to Data Engineering, Building Data Engineering Pipelines in Python, and Data Engineering for Everyone, include lesso...

[...Read more...]

Mad methods

May 29, 2020 | OSM

Over the past few weeks, we’ve examined the three major methods used to set return expectations as part of the portfolio allocation process. Those methods were historical averages, discounted cash flow models, and risk premia models. Today, we’ll bring all these models together to compare and contrast their ...

[...Read more...]

Mad methods

May 29, 2020 | OSM

Over the past few weeks, we’ve examined the three major methods used to set return expectations as part of the portfolio allocation process. Those methods were historical averages, discounted cash flow models, and risk premia models. Today, we’ll bring all these models together to compare and contrast their ...

[...Read more...]

Mad methods

May 29, 2020 | OSM

Over the past few weeks, we’ve examined the three major methods used to set return expectations as part of the portfolio allocation process. Those methods were historical averages, discounted cash flow models, and risk premia models. Today, we’ll bring all these models together to compare and contrast their ...

[...Read more...]

AdaOpt classification on MNIST handwritten digits (without preprocessing)

May 29, 2020 | T. Moudiki

AdaOpt classification on MNIST handwritten digits (without preprocessing) [...Read more...]

Determine optimal sample sizes for business value in A/B testing, by Chris Said

May 26, 2020 | Paul van der Laken

A/B testing is a method of comparing two versions of some thing against each other to determine which is better. A/B tests are often mentioned in e-commerce contexts, where the things we are comparing are web pages. Business leaders and data scientists alike face a difficult trade-off when ...

[...Read more...]

Making Pictures 3D using Context-aware Layered Depth Inpainting

May 19, 2020 | Paul van der Laken

Several Chinese Ph.D. students wrote a PyTorch program that can turn your holiday pictures into 3D sceneries. They call it 3D photo inpainting. Here are some examples And here’s the new method compares to previous techniques: Here are several links to more detailed resources: [Paper] [Project Website] [Google ... [...Read more...]

We’re Midway Through DataCamp’s Free Week!

May 18, 2020 | Martijn Theuwissen

When we decided to make all of DataCamp free for an entire week, we expected more learners would visit our site than we typically see. But nothing could’ve prepared us for the explosive growth in activity—some of our longstanding records are being brok...

[...Read more...]

Implied risk premia

May 15, 2020 | OSM

In our last post, we applied machine learning to the Capital Aset Pricing Model (CAPM) to try to predict future returns for the S&P 500. This analysis was part of our overall project to analyze the various methods to set return expectations when seeking to build a satisfactory portfolio. Others ...

[...Read more...]

Implied risk premia

May 15, 2020 | OSM

In our last post, we applied machine learning to the Capital Aset Pricing Model (CAPM) to try to predict future returns for the S&P 500. This analysis was part of our overall project to analyze the various methods to set return expectations when seeking to build a satisfactory portfolio. Others ...

[...Read more...]