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No experience necessary. Some assembly required. We aren't experts. We are just excited to learn, build, fail, and repeat. Come learn and make with us.

Learnings of a Maker LU

    • Freizeit

No experience necessary. Some assembly required. We aren't experts. We are just excited to learn, build, fail, and repeat. Come learn and make with us.

    Curse of Dimensionality - Day 7 #100DaysOfMLCode

    Curse of Dimensionality - Day 7 #100DaysOfMLCode

    The more dimensions we have, the more data we need.

    #ML, #Machinelearning, #LearnBuildShare, #coder, #programming, #learning, #humanlearning #IamaHumanLearningMachineLearning #SciJoyML

    • 1 Min.
    Spiky Dimensions - Day 6 #100DaysOfMLCode

    Spiky Dimensions - Day 6 #100DaysOfMLCode

    I was cursed. I had to explore what higher dimensional spheres and cubes looked like. Here is a playlist of more visual explanations. I’ll get back to regular ML on day 7.

    https://www.youtube.com/playlist?list=PL0XpKwCBES4NH5d_X6Xp8QE-On6PoT98S

    #ML, #Machinelearning, #LearnBuildShare, #coder, #programming, #learning, #humanlearning #IamaHumanLearningMachineLearning #SciJoyML

    • 3 Min.
    Learning Rabbit Hole - Day 5 #100DaysOfMLCode

    Learning Rabbit Hole - Day 5 #100DaysOfMLCode

    I dove down a rabbit hole and discovered that Bayesian methods cracked codes, solved medical mysteries, predicted elections, found ships, determined nuclear safety, and much more. I also learned there is a giant math war between Frequentists and Bayesians.

    #ML, #Machinelearning, #LearnBuildShare, #coder, #programming, #learning, #humanlearning #IamaHumanLearningMachineLearning #SciJoyML

    • 6 Min.
    Risk and Accuracy - Day 4 #100DaysOfMLCode

    Risk and Accuracy - Day 4 #100DaysOfMLCode

    The ROC curve helps determine an algorithms accuracy. We can chose to make our algorithm more or less risk-adverse.

    #ML, #Machinelearning, #LearnBuildShare, #coder, #programming, #learning, #humanlearning #IamaHumanLearningMachineLearning #SciJoyML

    • 2 Min.
    Loss and Confusion- Day 3 #100DaysOfMLCode

    Loss and Confusion- Day 3 #100DaysOfMLCode

    We take a look at the loss matrix and the confusion matrix. Using Bayes, we can determine if our rover should drive over rocks or avoid them. You can adjust the numbers and test out your own theories with this google sheet — https://docs.google.com/spreadsheets/d/1t8MnTQpOy33vlQXZILZyInHDDJvs8yAetwNM04OcRt4/edit?usp=sharing

    #100DaysOfMLCode #ML, #Machinelearning, #LearnBuildShare, #coder, #programming, #learning, #humanlearning #IamaHumanLearningMachineLearning #SciJoyML

    • 2 Min.
    Naive Bayes and Spam Filters - Day 2

    Naive Bayes and Spam Filters - Day 2

    Overview of Naive Bayes Algorithm. Sorry the audio quality is off. Ran out of time to redo. I also post daily videos and blog posts. I'll do better tomorrow. Thanks for listening!

    • 2 Min.

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