Why it matters: Fleming’s left hand rule is an important concept to understand when working with electric motors which are used in robotics.
Why it matters: Naive Bayes probabilistic classifiers are one of the simplest machine learning algorithms based on the Bayes theorem, it is fast, accurate, and reliable.
Why it matters: Joint distribution is used a lot in statistical analysis, but it can also be used in machine learning as a classification strategy to produce generative models.
Why it matters: MLFlow vs. Kubeflow: let us understand the similarities, their differences, when are they used. What use cases work best?
Why it matters: An autoencoder is an artificial neural deep network that uses unsupervised machine learning to efficiently encode and compress data.
Why it matters: Semi supervised machine learning algorithms are a hybrid that takes the best parts of supervised learning and unsupervised learning algorithms.
Why it matters: Dall E 2 AI art generator uses Contrastive Language Image Pre-training (CLIP) to generate images from text.
Why it matters: Classification and Regression trees or CART for short is a term used to describe decision tree algorithms that get used for classification and regression tasks. The results of these trees are very easy to understand which gives them an edge over other algorithms.
Why it matters: Chatbots and IVR systems are two commonly used support systems in business. It is important to know what they are, the advantages and disadvantages of both, and the differences between them.