The Math Behind Machine Learning
Let’s look at several techniques in machine learning and the math topics that are used in the process. In linear regression, we try to find the best fit line or hyperpl...
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Prediction at Scale with scikit-learn and PySpark Pandas UDFs
By Michael Heilman, Civis Analytics scikit-learn is a wonderful tool for machine learning in Python, with great flexibility for implementing pipelines and running exper...
Using Semantic Segmentation to identify rooftops in low-resolution Satellite images: Use case of Machine Learning in Clean Energy sector
The work is done by Jatinder Singh (also co-authored this article) and Iresh Mishra. Also thanks to Saurabh Singh for his guidance. In past, I had written about how ...
Ethics in Artificial Intelligence
Ethics in machine learning are what comes to mind when we imagine a worst case scenario in the context of artificial intelligence. As an example, we can think of HAL 9000...
Embracing Conflict to Fuel Digital Innovation
When talking to clients about their business goals, most business executives are pretty clear as to what they want to accomplish, such as reducing customer churn or reduc...
AlexNet Implementation Using Keras
Introduction: Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called ‘AlexNet’ and won Image Classification Challenge (ILSVR...
How to Write an R Function to Match and Merge 2 Files (like VLOOKUP)
Matching and merging 2 files is task I find myself doing all of the time. Historically, I’ve used VLOOKUP in MS Excel and just worked around any limitations. Finall...
LeNet-5 - A Classic CNN Architecture
Yann LeCun, Leon Bottou, Yosuha Bengio and Patrick Haffner proposed a neural network architecture for handwritten and machine-printed character recognition in 1990’s wh...
Creating a Great Information Dashboard
Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and ...