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Machine Learning Basics

Machine Learning Short Exam Notes – Quick and Easy Revision Guide

January 24, 2025January 24, 2025 by Team EasyExamNotes

Ace your next exam with these concise machine learning notes covering fundamentals, real-world applications, and more. Perfect for quick revisions!

© 2024 EasyExamNotes.com | Some content on this site was generated with the assistance of Google's Gemini AI and ChatGPT.

Machine Learning

Inroduction
Data Preprocessing
Supervised Learning
Recurrent neural network
Long short-term memory (LSTM) networks
Support Vector Machines
Neural Network in Machine Learning
Machine Learning works on which type of data ?
Machine Learning Scope and Limitations
What is target variable and independent variable in machine learning
What is Regression in Machine learning
What is Linear Regression in Machine Learning
Name some popular machine learning libraries.
Normalizing Data Sets in Machine Learning
Statistics and linear algebra for machine learning
What is Central Tendency in Statistics
Finding Machine Learning Datasets
Explain computer vision with an appropriate example
Explain Reinformcement learning with an appropriate exaple
Reinforcement Learning Framework
Machine learning models
Data augmentation
What is training data in Machine learning
Data Preprocessing
Normalizing Data Sets in Machine Learning
Which python libraries are used to load the dataset ?
How to implement Convolutional neural network in Python
Convolutional neural network
Machine learning algorithms for Big data
Top Neural Network APIs for Python: TensorFlow, PyTorch, Keras, and More
How to implement Convolutional neural network in Python
What does it mean to train a model on a dataset ?
Name some popular machine learning libraries.