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

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

Improving the decision tree

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

Information gain and less entropy

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? 1...

X=r cos (theta) and y=r sin(theta) for the circle and means squared loss function

Data warehousing is becoming more manageable using python because of metadata access to the database schema

Deep learning is about designing your network to find correlation between large numbers of features

Importing csv data into pandas and slicing data from the data frame

You need pandas knowledge to transform data in data frames that can be consume by machine learning classifiers

I talk about parameter timing and valuation . I recommend data camp

Insights of what will happen next

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.

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

Learning api programming in flutter

Dart communicates with SQL server through ffi. Set up your local internet information server and try crud with the database using JSON serialization and deserialization

Lessons learned while coding in flutter

Why flutter and dart

Deep learning will be influenced by reinforced learning because conditional programming can improve based on reward or loss actions

The Restricted Boltzman Machine provides a simple way to learn a layer of features without supervision. Many layers of representation can be learned by treating the hidden states of one RBM as the visible data for training the next RBM. This creates good generative models that can be fine-tuned. Back preparation can be used for labels and discrimination.

The abiogenic theory of petroleum formation presumes that an enormous source of primordial hydrocarbons (created a the time of the planet formation) resides in the upper mantle and lower crust-far deeper than can be drilled and sampled directly (30-100km).

Shale oil reduces trade deficits, decreases inflation, increases tax revenues, and strengthens the dollar. The goal should be to increase oil production

Bring data to the user in a more usable format

Follow discussion to the previous blog. I talk about the companies build fuel cell future