Welcome to the Future – AI Hints Today
Keyword is AI– This is your go-to space to ask questions, share programming tips, and engage with fellow coding enthusiasts. Whether you’re a beginner or an expert, our community is here to support your journey in coding. Dive into discussions on various programming languages, solve challenges, and exchange knowledge to enhance your skills.
Lesson 2: Python for Machine Learning
Lesson 1: Introduction to AI and ML
I am Learning AI & ML
What is Generative AI? What is AI ? What is ML? How all relates to each other?
Python libraries and functions to manipulate dates and times
Optimizations in Pyspark:- Explain with Examples, Adaptive Query Execution (AQE) in Detail
Optimization in PySpark is crucial for improving the performance and efficiency of data processing jobs, especially when dealing with large-scale datasets. Spark provides several techniques and best practices to optimize the execution of PySpark applications. Before going into Optimization stuff why don’t we go through from start-when you starts executing a pyspark script via spark…
Error and Exception Handling in Python and to maintain a log table
Apache Hive- Overview, Components, Architecture, Step by Step Execution Via Apache Tez or Spark
Apache Hive Overview Hive is a data warehouse infrastructure built on top of Hadoop and SQL-like language called HiveQL for querying data stored in various databases and file systems that integrate with Hadoop. Hive allows users to read, write, and manage large datasets residing in distributed storage using SQL. It simplifies the process of data…
Hadoop Tutorial: Components, Architecture, Data Processing, Interview Questions
What is Hadoop? Hadoop is an open-source, distributed computing framework that allows for the processing and storage of large datasets across a cluster of computers. It was created by Doug Cutting and Mike Cafarella and is now maintained by the Apache Software Foundation. History of Hadoop Hadoop was inspired by Google’s MapReduce and Google File…
How to train for Generative AI considering you have basic knowledge in Python. What should be the Learning path?