Author: user
Engineering : Overview of classifier system. What are the major components in it ?
A classifier system is a type of machine learning system that combines elements of reinforcement learning and evolutionary computation. It…
Engineering : Overview of Bayes network
A Bayes network, also known as a Bayesian network or a probabilistic graphical model, is a graphical representation of probabilistic…
Engineering : Overview of semantic nets . How they are useful in representing the concepts ?
Semantic nets, also known as semantic networks or concept maps, are a graphical representation of knowledge that depicts relationships between…
Engineering : Steps Involved in Resolution Refutation for Theorem Proving:
Convert to Clausal Form: The first step is to convert the theorem or problem statement into clausal form. Clausal form…
Engineering : State Space Representation of an AI Problem: Exploring the Path to Intelligent Solutions
Understanding State Space: In the context of AI, a state space refers to the collection of all possible states that…
How do you use DBT to manage your data lineage?
Data lineage refers to the history of data as it moves from its source to its destination, including transformations and…
PySpark : Formatting numbers to a specific number of decimal places.
pyspark.sql.functions.format_number One of the useful functions in PySpark is the format_number function, which is used to format numbers to a…
PySpark : Creating multiple rows for each element in the array[explode]
pyspark.sql.functions.explode One of the important operations in PySpark is the explode function, which is used to convert a column of…
PySpark : How decode works in PySpark ?
One of the important concepts in PySpark is data encoding and decoding, which refers to the process of converting data…
PySpark : Extracting dayofmonth, dayofweek, and dayofyear in PySpark
pyspark.sql.functions.dayofmonth pyspark.sql.functions.dayofweek pyspark.sql.functions.dayofyear One of the most common data manipulations in PySpark is working with date and time columns. PySpark…
