Teacher iSTEM Categories BootCamp Review (0 review) Overview Overview Launch Natural Language Processing Recommendation Systems Decisions and Ethics Machine Learning Algorithms (Optional) Python and Orange Launch Understand what machine learning is Be able to build a simple machine learning model CHALLENGE Be able to make changes to a simple machine learning model Natural Language Processing Understand what a chatbot is Be able to build a natural language recognition model CHALLENGE Recognise the advantages of natural language processing Appreciate real life applications of chatbots Recommendation Systems Understand how machine learning can be used to make recommendations Be able to build a simple recommendations system CHALLENGE Be able to adapt a recommendation system to include new criteria Understand what a Filter Bubble is Decisions and Ethics Understand how Machine Learning is used to make decisions Understand potential issues with the application of machine learning CHALLENGE Be able to evaluate the impact of ethical considerations in the application of Machine Learning Machine Learning Algorithms Understand the difference between supervised and unsupervised learning Understand basic machine learning algorithms CHALLENGE Be able to use basic machine learning algorithms Understand what a neural network is (Optional) Python and Orange Be able to use machine learning tools to visualise data CHALLENGE Be able to use python to import data and run basic machine learning algorithms LEARNING OUTCOMES Machine learning model that can sort images Machine learning model that can recognise natural language commands Machine learning model that can recommend the reading age of a book based on data about the book Presentation or report summarising key points Completed algorithm exercises Data visualiastions using Orange Python code for importing data and running machine learning algorithms (decision trees and kNN) Course Features Lectures 37 Quizzes 3 Language English Students 296 Assessments Yes Curriculum Curriculum CoursesBootCampAI BootCamp (Module 1 Crash Course) Launch 8 Machine learning model that can sort images Lecture1.1 What is machine learning? Lecture1.2 How do machines learn? Lecture1.3 [LAB] Building a model in Scratch3 Lecture1.4 [LAB] How to use (step by step) Lecture1.5 Extension – refining and adapting model Lecture1.6 Facial recognition Quiz1.1 Launch 5 questions Lecture1.7 What next? Natural Language Processing 7 Machine learning model that can recognise natural language commands Lecture2.1 Natural Language Processing Lecture2.2 Chatbots Lecture2.3 [LAB] Build an anti-bullying AI prototype Lecture2.4 Test and improve your model Lecture2.5 Chatbot applications Quiz2.1 Natural Language Processing 1 question Lecture2.6 What next? Recommendation Systems 6 Machine learning model that can recommend the reading age of a book based on data about the book Lecture3.1 Recommendation systems Lecture3.2 Using a recommendation system Lecture3.3 Building a recommendation system Lecture3.4 Filter bubbles Lecture3.5 Deeper dive (extension) Quiz3.1 Recommendation Systems 3 questions Decisions and Ethics 4 Presentation or report summarising key points Lecture4.1 Self driving cars Lecture4.2 Bias in Machine Learning Lecture4.3 Review of Machine Learning Lecture4.4 Extension – Dangers of Machine Learning Machine Learning Algorithms 12 In this session we will be looking at some of the algorithms that make machine learning possible. Lecture5.1 Introduction Lecture5.2 Supervised and unsupervised learning Lecture5.3 Linear Regression Lecture5.4 [LAB] Linear regression Lecture5.5 Naive Bayes Algorithm Lecture5.6 [LAB] Naive Bayes Lecture5.7 Decision Tree Lecture5.8 [LAB] Decision Tree Lecture5.9 k-Means Clustering Lecture5.10 [LAB] k-Means Clustering Lecture5.11 Neural networks Lecture5.12 Summary (Optional) Python and Orange 3 Data visualiastions using Orange Python code for importing data and running machine learning algorithms (decision trees and kNN) Lecture6.1 Machine learning tools Lecture6.2 Hello world Lecture6.3 Decision trees – iris dataset Instructor Instructor iSTEM Reviews Reviews Reviews Average Rating 0 0 rating Detailed Rating 5 0% 4 0% 3 0% 2 0% 1 0% Overview Curriculum Instructor Reviews $999.00 $499.00 Buy Membership You May Like You May Like Read More iSTEM Experimental learning Students 87 0 Free Read More iSTEM Reinforcement learning Students 4 0 Free Read More iSTEM Technology Students 4 0 Free Read More iSTEM Micro:bit Students 28 0 $80.00 $69.00 Read More eva Handpose Demos Students 45 0 $60.00 $39.00 $999.00 $499.00 Buy Membership Overview Curriculum Instructor Reviews Share: