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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

Figure 4 Data Cleaning Conventional algorithms are often biased towards the dominant class, ignoring the data distribution. For some applications, such as fraud detection or cancer prediction, we may need to configure our model carefully or artificially balance the dataset, such as by undersampling or oversampling each class.

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The Age of Health Informatics: Part 1

Heartbeat

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

An interdisciplinary field that constitutes various scientific processes, algorithms, tools, and machine learning techniques working to help find common patterns and gather sensible insights from the given raw input data using statistical and mathematical analysis is called Data Science. What is Data Science?

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Intuitive robotic manipulator control with a Myo armband

Mlearning.ai

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.