The Data Scientist Need for Hosted Dashboards As data people, we very typically spend a great deal of time summarizing our findings to stakeholders in a clear, concise an...
Here is one of the most viral videos about data science posted in the last few months, with over 500,000 views. I could not locate the original copy; I found it in a re-t...
The cost of exploring and implementing AI technology can be significant. Some of this cost is associated with gathering and digitizing data and procuring software and har...
Modern machine learning is gaining traction across a wide range of industries. However, depending on the application of these analytical models, they can be subject to a ...
Summary: Adoption of AI/ML by larger companies has more than doubled since last year according to these survey results from McKinsey and Stanford’s Human-Centered AI ...
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...
Introduction This blog is a part of the learn machine learning coding basics in a weekend . We recommend the book Python Data Science Handbook by Jake VanderPlas There ar...
Grab a copy of The Elements of Statistical Learning (“the machine learning bible”) and you might be a little overwhelmed by the mathematics. For example, thi...
This article was written by Jason Brownlee. Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the numbe...
This article was written by Vitaly Shmatikov. Machine learning is eating the world. The abundance of training data has helped ML achieve amazing results for object reco...