Hitchikers Guide To Machine Learning
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HITCHHIKERS GUIDE TO ROCKING MACHINE LEARNING IN 2019 Session for NewBies Sho Fola Soboyejo Apr 26th, 2019 @shoreason 10,000 hours Photo by: Douglas Adams PERSONAL APPLICATIONS Energy utilization anomaly detection PERSONAL APPLICATIONS Recommendation Engine for nearby fun activities PERSONAL APPLICATIONS Creating clusters and tiers for fantasy football players plus predicting performance PERSONAL APPLICATIONS Text Summarizer to summarize news articles 80/20 Rule CHOOSING A PATH What are you saying No to? LITERACY Learning to know VS COMPETENCE Learning to Do ON GETTING STARTED • Being clear where you are starting from • Know where you are headed before you start Amazon IS THIS YOU? • Learning a new instrument • Top Down = Starting with a song • Bottom Up = Learn A lot of Theory PLAYING THE WHOLE GAME • David Perkins • Learning things on as needed basis WORK ON THE HARD PARTS • Zone of discomfort • Circle of 5ths & Riffs • Getting and cleaning data • Setting up your cloud env • Moving from Python Notebook to CMD Line RESOURCES • Fast.ai - Intro to ML Course • Udacity ML Course • Machine Learning is fun Medium Blog (Literacy) • Deep Learning - Online book (Literacy) • Follow Siraj Raval, Sentdex and Corey Schafer on YouTube LANGUAGES VS TOOLS Neural Networks & Deep Learning Machine Learning @prat0s PLATFORMS FINDING A PROJECT AND DATA • Kaggle • UCI ML Repository • Fast.ai Datasets • Your own personal project • Hackathons ACHIEVING SUCCESS RIGHT MIX OF EXPERIENCE AND MOTIVATION FINDING MOTIVE • Staying competitive (in your industry) • Improving your productivity • Being in the driver’s seat • Managing Bias Cranfield University Blogs FINDING MOTIVE • Staying competitive (in your industry) • Improving your productivity • Being in the driver’s seat • Managing Bias Cranfield University Blogs FINDING MOTIVE • Staying competitive (in your industry) • Improving your productivity • Being in the driver’s seat • Managing Bias Cranfield University Blogs “Predictive analytics will have an effect on who gets hired, is approved for a loan or sees an Ad” FINDING MOTIVE • Staying competitive (in your industry) • Improving your productivity • Being in the driver’s seat • Managing Bias Cranfield University Blogs The Timeline Nvidia 10 Algorithms To Know Support Vector Machines K-Nearest Neighbors Random Forest K-Means Clustering Naive Bayes Principal Component Analysis Logistic Regression Linear Discriminant Analysis Linear Regression Neural Networks 99% “ OF THE ECONOMIC VALUE LIES IN SUPERVISED LEARNING” Classification Supervised Regression Machine Learning Unsupervised Clustering Photo by: Douglas Adams ARTIFICIAL INTELLIGENCE (OR LACK OF IT) VS AI Fail Human Fail MORE APPLICATIONS • Product Defect Detection Using Image Recognition • Customer Interaction Bots • Fraud, Anomaly and Bad Actor Detection • Emotion Detection (Mental Health & Counseling) • Self Driving Cars Discover Magazine Literacy Competency HANDS-ON TIME Black Box: Sci-kit Learn Example Credit: Adam Geitgey Support Vector Machines Great for classification problems with numerical features and relatively few samples Credit: Adedapo Alabi Key Steps Initialize: clf = svm.SVC(gamma=0.001, C=100) Train: clf.fit(x, y) Test: clf.score(x_test, y_test) Predict: clf.predict(test) Scikit Learn Example DECEMBER 2019 Photo by: Douglas Adams DECEMBER 2019 @shoreason www.linkedin.com/in/shofola/ github.com/shoreason
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