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Applying machine learning to Laravel applications

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In this talk Ore focuses on how to integrate machine learning and a Laravel application.

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Applying machine learning to Laravel applications

  1. 1. by Oreoluwa Ogundipe Applying Machine Learning in Laravel Applications
  2. 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. 3. BRIEF INTRODUCTION TO MACHINE LEARNING
  4. 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. 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. 6. Types of Learning -Supervised Learning. - Linear Regression, Logistic Regression, Neural Networks -Unsupervised Learning. - SVMs, KMeans -Reinforcement Learning.
  7. 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. 8. Machine Learning APIs - Tensorflow by Google - Scikit learn by Google. - Clarifai AI. - Microsoft Facial Detection API - Kairos API.
  9. 9. USING MACHINE LEARNING WITH LARAVEL
  10. 10. 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 ‘Kairos API’.
  11. 11. @orehga Thank you for listening !" Any questions? @oreeog @ore.og

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