Applying Machine Learning in Laravel Applications

Breif Introduction to Machine Learning and how to apply Machine Learning in Laravel Applications.
Github repo for demo app : https://github.com/oreHGA/babewatch

Transcript

1. by Oreoluwa Ogundipe Applying Machine Learning in Laravel Applications
2. Speaker Bio - Computer Vision/Machine Learning/Web Developer. - Computer Science Student at University of Ghana. - San Diego State University Alumni. - Fomer Master Builder at BuildIT, San Diego State University. - Developer at hotels.ng. - VSCode Advocate. - Gamer.
3. BRIEF INTRODUCTION TO MACHINE LEARNING
4. What is Machine Learning? - Machine Learning is the ability of a computer to predict the future based on past experiences. Examples - Netflix Movie Prediction. - Breast Cancer Prediction. - Predicting Prices of Houses in Lekki.
5. Debunking Machine Learning Myths - Machine Learning is difficult to understand. - You must be a ‘bad’ mathematician to understand it. - You need a laptop with maxed out specifications to run your application. - Machine Learning is absent of human bias.
6. Types of Learning -Supervised Learning. - Linear Regression, Logistic Regression, Neural Networks -Unsupervised Learning. - SVMs, KMeans -Reinforcement Learning.
7. Applications of Machine Learning -Machine Learning in Health Sector. -Machine Learning in Education. -Machine Learning in Traffic Control. - Machine Learning in Stock Market.
8. Machine Learning APIs - Tensorflow by Google - Scikit learn by Google. - Clarifai AI. - Microsoft Facial Detection API - Kairos API.
9. USING MACHINE LEARNING WITH LARAVEL
11. BABEWATCH - This is a Laravel Application I made for demo purpose during this event. HOW IT WORKS - When a user signs their baby up, the user’s picture and pictures of other authorized baby carriers are taken. - Users are being verified by the Machine Learning Model provided by ‘Kairso API’.
12. @orehga Thank you for listening !" Any questions? @oreeog @ore.og