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Neural Networks – an Intuition
Neural networks are one of the most powerful algorithms used in the field of machine learning and artificial intelligence. We attempt to outline its similarities with the human brain and how intuition plays a big part in this.
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How I used NLP (Spacy) to screen Data Science Resumes
A real life example of when using NLP can help filter down a list of candidates for a job opening, with full source code and methodology.
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6 Data Visualization Disasters – How to Avoid Them
If you intend to use data visualizations in a presentation or publication, be certain that your audience will understand and trust the information. Here are six mistakes you will want to avoid.
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The Essential Data Science Venn Diagram
A deeper examination of the interdisciplinary interplay involved in data science, focusing on automation, validity and intuition.
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Data Scientists: Why are they so expensive to hire?
We provide some reasoning behind the high cost factor of hiring a data scientist, including the increasing amount of data ready to be analyzed, the structural shortage of people with the appropriate skills, and more.
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Exploring Python Basics
This free eBook is a great resource for any beginner, providing a good introduction into Python, a look at the basics of learning a programming language and explores modelling and predictions.
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Random forests® explained intuitively
A detailed explanation of random forests, with real life use cases, a discussion into when a random forest is a poor choice relative to other algorithms, and looking at some of the advantages of using random forest.
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The Algorithms Aren’t Biased, We Are
We explain the concept of bias and how it can appear in your projects, share some illustrative examples, and translate the latest academic research on “algorithmic bias.”
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Machine Learning Security
We take a look at how malicious actors can break machine learning models and what some of the best practices are when it comes to stopping them.
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The Data Science Gold Rush: Top Jobs in Data Science and How to Secure Them
Because big data touches almost every industry across the board, those who aren’t already working in data and analytics will soon be utilizing the technology for its undeniable business benefits. Whichever way you slice it, the future of work is through data.
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