In August 2012 I left with two friends to visit he famous tour of the West Coast. It was quite easy to find hotels, campgrounds, gas stations or places to shop and eat and there are so many things to see and so much distance to cover that you have Read more…
In May 2012 I left with a bunch of friends to explore the mysterious Iceland. Herding a bunch of young guys through an island of ice implies a lot of preparation and planning, especially concerning where we sleep. We organized the trip remotely, first we set the dates, then the Read more…
Author : Michael Bungay Stanier Say less, ask more & Change the way you lead forever Build an habit of coaching regularly Ask just one question at a time and wait for the answer The kickstart question : What’s on your mind ? 3P : Framework for chosing what to Read more…
Author : William N. Thorndike, Jr. The book looks at 8 CEOs with a common pattern of behaviour : Tom Murphy and Capital Cities (Media + Broadcasting) Henry Singleton and Teledyne (Electronics, industry) Bill anders and General Dynamics (Defense) John Malone and TCI (Cable business) Kay Graham and the washington Read more…
Author : Mark Manson Good values are : Reality based Socially constructive Immediate and controllable Some examples : Honesty Innovation Vulnerability Standing up for oneself Standing up for others Self respect Curiosity Charity Humility Creativity Bad values are : Superstitious Socially destructiv Not immediate or controllable Some examples : Dominance Read more…
Author : Jordan B Peterson Rule 1 : Stand up straight with your shoulders back Sleep on predictable schedule and eat fat, protein breakfast. If you present yourself as defeated, then people will react to you as if your are losing. Attend carefully to your posture. Speak your mind. Put Read more…
Author : Dan Carlin Chapter 1 : Do tough times make for tougher people ? Hard times makes people resilient and tough, easy times makes people more easy going Chapter 2 : Suffer the children Children suffered more before and it was more accepted Chapter 3 : The end of Read more…
Classification Where y is a discrete value Develop the logistic regression algorithm to determine what class a new input should fall into Classification problems Email -> spam/not spam? Online transactions -> fraudulent? Tumor -> Malignant/benign Variable in these problems is Y Y is either 0 or 1 0 = negative class (absence of something) Read more…
Linear regression with multiple features Multiple variables = multiple features In original version we had X = house size, use this to predict y = house price If in a new scheme we have more variables (such as number of bedrooms, number floors, age of the home) x1, x2, x3,x4 are the four features Read more…
Matrices – overview Rectangular array of numbers written between square brackets 2D array Named as capital letters (A,B,X,Y) Dimension of a matrix are [Rows x Columns] Start at top left To bottom left To bottom right R[r x c] means a matrix which has r rows and c columns Is a [4 Read more…