Joint, Conditional and Marginal Probability
As already explained in the Basics section we have a formula that relates joint, conditional and marginal probabilities to each other.
Math
Math, Probability and Statistics
Basics
Random Experiment A random experiment is an experiment that yields the following conditions: repeatable several mutual exclusive outcomes are possible outcome is up to chance Typical example for random experiments
Kafka
Kafka Streaming Example
Once you have Kafka up and running and you write events to a topic, you might want to do some preprocessing. Kafka streaming would be the tool of choice here.
Spark
Link to book “Spark The Definite Guide”
https://analyticsdata24.files.wordpress.com/2020/02/spark-the-definitive-guide40www.bigdatabugs.com_.pdf
Bayesian Methods
Expectation Maximization
https://stats.stackexchange.com/questions/72774/numerical-example-to-understand-expectation-maximization http://noiselab.ucsd.edu/ECE228/Murphy_Machine_Learning.pdf https://bjlkeng.github.io/posts/the-expectation-maximization-algorithm/
Linux
Bash
http://www.gnu.org/savannah-checkouts/gnu/bash/manual/bash.html https://shapeshed.com/unix-ps/ http://morningcoffee.io/killing-a-process-and-all-of-its-descendants.html Killing Processes First of all you must understand how processes work in linux. when sudo starts a process in the background and you try to trap the