Dendrites : inputs going into nucleus Nucleus : does the calculationAxon : passes output to other neurons Neural Networks mimic this model Generalized

Basic unit of calculation for Spark (It's like an API for controling Spark)a read-only, fault-tolerant partitioned collection of recordsLineage: User

SSH into the server Open VS Code Install Remove Development in the marketplace Create a config file press F1 → Configure SSH Hosts → Select the fil

A local process will use the computation resources of a single machine A distributed process has access to the computational resources across a number

Group news articles by topic compile documents featurize documents compare the features Bag of words : Document represented as vectors \- “Blue House

reduce the number of variables of a data set while preserving as much information as possiblea dimensionality-reduction method which transforms a larg

Basic Concept supervised machine learning models with associated learning algorithms that analyze data and recognize patterns, used for classification

an unsupervised learning algorithm that will attempt to group similar clusters together in the data.Example problems \- Cluster Customers based on Fe

Nodes \- Split for the value of a certain attributeEdges \- Outcome of a split to next nodeRoot \- The node that performs the first splitLeaves \-

Training Algorithm : \- Store all the dataPrediction Algorithm : \- Calculate the distance from x to all the points \- Sort the points in the data b

takes in any value and outputs it to be between 0 and 1in this case, we can set a cutoff point at 0.5 \- p <0.5 → 0 / p>=0.5 → 1confusion matrix c

The bias Variance trade-off is the point where we are just adding noise by adding model complexitytraining error ↓ test error ↑After bias trade-off, t

conda install scikit-learnevery algorithm is exposed in scikit-learn via an 'Estimator' First you'll import the model, the general form is : \- from

1. Supervised Learning Overview