Machine Learning

Unsupervised learning --- Send in a voice message: https://anchor.fm/david-nishimoto/message

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. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

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 --- Send in a voice message: https://anchor.fm/david-nishimoto/message

C controls the degree of regularization. Gamma controls the smoothness of the boundary. Kernel can improve speed. Penalty controls the loss function --- Send in a voice message: https://anchor.fm/david-nishimoto/message

I talk about setting up your regression data to be classified using np arrays and dataframes --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Improving the decision tree --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Finding function and ignoring noise to get accurate predictions for unseen data --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Information gain and less entropy --- Send in a voice message: https://anchor.fm/david-nishimoto/message

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? --- Send in a voice message: https://anchor.fm/david-nishimoto/message

X=r cos (theta) and y=r sin(theta) for the circle and means squared loss function --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Data warehousing is becoming more manageable using python because of metadata access to the database schema --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Deep learning is about designing your network to find correlation between large numbers of features --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Importing csv data into pandas and slicing data from the data frame --- Send in a voice message: https://anchor.fm/david-nishimoto/message

You need pandas knowledge to transform data in data frames that can be consume by machine learning classifiers --- Send in a voice message: https://anchor.fm/david-nishimoto/message

I talk about parameter timing and valuation . I recommend data camp --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Insights of what will happen next --- Send in a voice message: https://anchor.fm/david-nishimoto/message

A complex adaptive system is formally defined as a system of independent agents that can act in parallel, develop models as to how things work in the environment, and refine those models through learning and adaptation. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Information technology is becoming cheaper and more standardized, as its power and capabilities begin to outstrip most companies needs, the advantage it once provided dissipating, and its great transformational power fading. IT will become ordinary and lose its strategic importance as a differentiator of companies, if it is to fulfill it potentia

Comma 2 self driving is amazing and cost effective --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Learning api programming in flutter --- Send in a voice message: https://anchor.fm/david-nishimoto/message