Book: Mastering Machine Learning with Python in Six Steps
A Practical Implementation Guide to Predictive Data Analytics Using Python Covers basic to advanced topics in an easy step-oriented manner Concise on theory, strong focus...
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Six Great Articles About Quantum Computing and HPC
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
The 10 Algorithms Machine Learning Engineers Need to Know
This article was written by James Le. It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past ...
75 Big Data Terms To Make Your Dad Proud of You on Father's Day
My earlier article on ‘25 Big Data terms you must know to impress your date’ had a pretty decent response (at least by my standards) and there were requests to add m...
15 Highest Paying Programming Languages in 2017
Technology always takes a dominant position in economy and society. Millions of people therefore found their careers, and many others have even dived into a completely di...
Enterprise AI: Learning from the evolution of Robotic Process Automaton
In 2017, the Robotic Process Automation / RPA market has matured. Learning from the evolution of RPA, in this post, we explore the wider implications for Enterprise AI ...
Some Thoughts on Mid-Career Switching Into Data Science
Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey. We get lots of inquiries fro...
Big Data Analytics & Data Science Use Cases
Big Data, Data Analytics, Data Science – all these terms make a noise in the world! Here are a few examples to clarify the difference and avoid messing them up: Goo...
How to Train a Final Machine Learning Model
In this post, you discovered how to train a final machine learning model for operational use. You have overcome obstacles to finalizing your model, such as: Understanding...
14 Great Articles About Cross-Validation, Model Fitting and Selection
Cross-validation is a technique used to assess the accuracy of a predictive model, based on training set data. It splits the training sets into test and control sets. T...