Learn Machine Learning with Free Lessons & Tips

Type of Machine Learning Machine Learning Deep Learning Underlying Technique Statistical Methods & Math Models Artificial Neural Networks Data Requirements Smaller Datasets Large Datasets Human Intervention More Human Feature Engineering Automatic Feature Extraction (often) Applications Spam Filtering, Stock Prediction Image Recognition, Natural Language Processing

AI includes everything from smart assistants like Alexa to robotic vacuum cleaners and self-driving cars. Machine learning (ML) is one among many other branches of AI. ML is the science of developing algorithms and statistical models that computer systems use to perform complex tasks without explicit instructions.

Interesting Machine Learning Project Ideas For Beginners 1.Stock Prices Predictor2.Sports Predictor3.Develop A Sentiment Analyzer4.Enhance Healthcare5.Prepare ML Algorithms – From Scratch!6.Develop A Neural Network That Can Read Handwriting7.Movie Ticket Pricing System8.Iris Flowers Classification ML Project9.BigMart Sales Prediction ML Project10.Recommendation Engines with MovieLens Dataset11.Predicting Wine Quality using Wine Quality Dataset12.MNIST Handwritten Digit Classification13.Human Activity Recognition using Smartphone Dataset14.Object Detection with Deep Learning15.Fake News Detection…. and so on..

AI is the broader concept of creating intelligent machines, while ML, Deep Learning, NLP, and Computer Vision are specific subfields within AI. ML focuses on algorithms that allow computers to learn and make predictions from data. Deep Learning employs artificial neural networks to model complex patterns.