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    Technology

    ML – The way the world works – analyzing how things work

    Machine learning is the most important technological breakthrough in the 21st century. Listen to my views on the future of machine learning. Code demonstrations on YouTube under my channel David Nishimoto

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    Copyright: © David Nishimoto

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    Latest Episodes:
    Kmeans clustering, hierarchical clustering and sentiment analysis to find trend May 07, 2020
    Show notes

    Normalizing data to reduce variance is necessary preparation of data. Normalizing is rescaling they data to a standard deviation of 1. Sentiment analysis can analyze text content for negative or positive words.


    K means clustering May 05, 2020
    Show notes

    Unsupervised learning


    Hidden order - understanding the reasons for reinforced learning May 02, 2020
    Show notes

    Consider a many-player game played over and over. Each player keeps changing his strategy until no further change will make him better off. Equilibrium is reached when each player has chosen a strategy that is optimal for him, given the strategies that the other players are following.


    How to build actionable machine learning decisions in production Apr 30, 2020
    Show notes

    Everything starts with inference about a business situation . It then moves to observation and experimentation. An finally if an case for impact can be built into ml production either through automation or detection


    Logistic regression vs support vector machine Apr 28, 2020
    Show notes

    C controls the degree of regularization. Gamma controls the smoothness of the boundary. Kernel can improve speed. Penalty controls the loss function


    Percent changed time series and panda groupby and enumerate Apr 25, 2020
    Show notes

    I talk about setting up your regression data to be classified using np arrays and dataframes


    Gradient boost and adboostingclassifier and bagging and random forest classifier Apr 22, 2020
    Show notes

    Improving the decision tree


    Variance and bias reflect overfit and underfit in the network Apr 22, 2020
    Show notes

    Finding function and ignoring noise to get accurate predictions for unseen data


    Linear regressor tree classifier Apr 20, 2020
    Show notes

    Information gain and less entropy


    Analysis of the profit zone and factors for measuring growth and asset value by sales revenue Apr 19, 2020
    Show notes

    1. Who are my customers? 2. How are their priorities changing? 3. Who should be my customer? 4. How can I add value to the customer? 5. How can I become the customers first choice? 6. What is my profit model? 7. What is my current business design? 8. Who are my real competitors? 9. What is my competitors business design? 10 What is my next business design? 11. What is my strategic control point? 12. What is my company worth?


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