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January 2020 | Volume 2, Issue 1 | Subscribe Spotlight An Epidemic of ML Misinformation ...
Today is an exciting day for me. After months of hard work, IBM, the University of Pennsylvania, and the Linux Foundation are announcing an ...
Introduction Today, we will be using a very fascinating R library which is extensively used for automating algorithms and repeated testing ...
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Nominate yourself or others to be profiled in the data science spotlight.
Neeraj Jangid is a budding data scientist who is currently enrolled in a masters in engineering management program at Southern Methodist University. After being introduced to data science at school, he decided to start blogging and sharing his knowledge and enthusiasm with other prospective data scientists. We spoke with him to learn about his passion for data science and his career ambitions....Read more
Deep learning can be tedious work. Taking Long Short-Term Memory (LSTM) as an example, we have lots of hyperparameters, (learning rate, number of hidden units, batch size, and so on) waiting for us to find the best combination. Considering the size of a deep learning model, hyperparameter tuning usually takes long time.
Explainability is a hot topic. Data Science models are used to trigger recommendations such as “accept” or “refuse” a loan, and the need to answer “why this recommendation?” is arising. Customers impacted by recommendations are asking “why”, and so some companies are willing to answer, and in some geographies, regulations even prevent applications being used in some areas when explainability is not available.
A practical guide to developing machine learning apps.
These 10 videos will let you explore such basic functions of IBM Watson Studio such as getting started, intro to notebooks, collaboration, data storage and connection, and more.
A simple walkthrough of a Machine Learning exercise, creating, evaluating, and deploying a Machine Learning model without writing a single line of code.