Two New Deep Conjectures in Probabilistic Number Theory
The material discussed here is also of interest to machine learning, AI, big data, and data science practitioners, as much of the work is based on heavy data processing, ...
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Privacy and AI – How Much Should We Really Care
Summary: More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it. Th...
Growth Modeling for Business Managers and Executives
You don’t need a sophisticated model nor advanced machine learning techniques to quickly get a high level picture and trends for bottom-line business metrics. Not o...
Free Book: Azure Machine Learning in a Weekend
By Ajit Jaokar and Ayse Mutlu. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. This tutorial is the second b...
A Radical AI Strategy – Platformication
Summary: A new business model strategy based around intermediary platforms powered by AI/ML is promising the most direct path to fastest growth, profitability, and comp...
AI/ML Lessons for Creating a Platform Strategy – Part 1
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). Here are some lessons and examples to help mature compani...
Building a Shiny App to Show the Impact of Vaccines (with R code)
This article is by Claus Thorn Ekstrøm. Debates about vaccines are ongoing in many countries and the debate has reblossomed in Denmark after we’ve had five rece...
The tools you should know for the Machine Learning projects
I have been frequently asked about the tools for the Machine Learnign projects There are lot of them on the market so in my newest post you will find my view on them. I w...
Calibrated Quantum Mesh – Better Than Deep Learning for Natural Language Search
Summary: Move over RNN/LSTM, there’s a new algorithm called Calibrated Quantum Mesh that promises to bring new levels of accuracy to natural language search and witho...
Decision Tree vs Random Forest vs Gradient Boosting Machines: Explained Simply
Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three methods are similar, with a s...