Introduction to machine learning || lecture 1
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Machine learning
AI (Artificial Intelligence)
Data science
Algorithm
Model
Training
Prediction
Pattern recognition
Specific Concepts
Supervised learning
Unsupervised learning
Reinforcement learning
Regression
Classification
Clustering
Neural networks
Deep learning
Data preprocessing
Feature engineering
Applications
Recommendation systems
Image recognition
Natural language processing
Fraud detection
Medical diagnosis
Autonomous vehicles
Tools and Libraries
Python
TensorFlow
PyTorch
Scikit-learn
Keras
HashTags ---
General Hashtags
#machinelearning
#AI
#datascience
#algorithm
#model
#training
#prediction
#patternrecognition
Specific Concepts
#supervisedlearning
#unsupervisedlearning
#reinforcementlearning
#regression
#classification
#clustering
#neuralnetworks
#deeplearning
#datapreprocessing
#featureengineering
Applications
#recommendationsystems
#imagerecognition
#naturallanguageprocessing
#frauddetection
#medicaldiagnosis
#autonomousvehicles
Tools and Libraries
#python
#tensorflow
#pytorch
#scikitlearn
#keras