Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis

[unable to retrieve full-text content]Python continues to eat away at R, RapidMiner gains, SQL is steady, Tensorflow advances pulling along Keras, Hadoop drops, Data Science platforms consolidate, and more.
Original Post: Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis

ETL vs ELT: Considering the Advancement of Data Warehouses

[unable to retrieve full-text content]The traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.
Original Post: ETL vs ELT: Considering the Advancement of Data Warehouses

Kernel Machine Learning (KernelML) - Generalized Machine Learning Algorithm

[unable to retrieve full-text content]This article introduces a pip Python package called KernelML, created to give analysts and data scientists a generalized machine learning algorithm for complex loss functions and non-linear coefficients.
Original Post: Kernel Machine Learning (KernelML) - Generalized Machine Learning Algorithm

How to Organize Data Labeling for Machine Learning: Approaches and Tools

[unable to retrieve full-text content]The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.
Original Post: How to Organize Data Labeling for Machine Learning: Approaches and Tools