POTUS and the Stock Market
For those who follow the stock market, October’s been a pretty rough month, with overall market levels, as measured by major indexes such as the Russell 3000 and th...
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Adding intelligent features to your Android apps – Video tutorial
Machine Learning for Android App development Using ML Kit [Video] This course is for Android developers who want to try their hand at building a machine learning app usin...
Sentiment Analysis: Types, Tools, and Use Cases
What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a laptop, or an overseas tour, processi...
Challenge of Confirming Program Efficacy
Something that has always troubled me with statistics is the pretense of certainty. The conclusions – being closely associated with calculations – tend to be rea...
Anomaly/Outlier Detection using Local Outlier Factors
Outliers are patterns in data that do not confirm to the expected behavior. While detecting such patterns are of prime importance in Credit Card Fraud, Stock Trading etc....
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...
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...