|||

Jupyter Notebooks Everywhere

It would appear that many of the cloud providers are now leveraging Jupyter Notebooks. I predominately use them with Python (3.6+) and Julia but many more kernels are available.

I was kind of shocked that Google allows only Python 2.7 to be used with their Google Drive but Azure supports Python 3+. Nice!

The Data Science notebook space is definitely winning IMHO. They’re easier to read for new team mates (with proper annotation of course), easier to export to markdown, provide for a good data lineage, and easier to put into production with other 3rd party software like Anaconda.

DO they encapsulate code into a GUI widget/operator like RapidMiner? No, they do not BUT the provide for the openness’ of inspecting your code and ease collaboration make them very appealing.

Up next My Investment Returns Just a simple tracking of my 401k investments (very diversified) and a more concentrated small stock portfolio. Fraud Analytics in RapidMiner This is a great video presentation on Fraud Analytics use case with RapidMiner. See my notes below. ##Some key concepts More complex model, the
Latest posts Revisiting GOOG, GE, NE, IYR from 2007 The Ye Old Blog List Motorola: Then and Now EWM Redux Testing for mean reversion with Python & developing simple VIX system - Talaikis unsorted - Tadas Talaikis Blog Steps to calculate centroids in cluster using K-means clustering algorithm - Data Science Central Basics of Statistical Mean Reversion Testing - QuantStart Algorithmic trading in less than 100 lines of Python code - O’Reilly Media Interpreting Machine Learning Models Microsoft the AI Powerhouse Investing in the S&P500 still beats AI Trading Microsoft makes a push to simplify machine learning | TechCrunch 10 Great Articles On Python Development — Hacker Noon Introduction to Keras Democratising Machine learning with H2O — Towards Data Science Getting started with Python datatable | Kaggle Phone Addiction Machine Learning Making Pesto Tastier 5 Dangerous Things You Should Let Your Kids Do The Pyschology of Writing Investing in 2019 and beyond TensorFlow and High Level APIs Driving Marketing Performance with H2O Driverless AI Machine Learning and Data Munging in H2O Driverless AI with datatable Making AI Happen Without Getting Fired Latest Musings from a Traveling Sales Engineer The Night before H2O World 2019 Why Forex Trading is Frustrating Functional Programming in Python Automatic Feature Engineering with Driverless AI Ray Dalio's Pure Alpha Fund