The Polaris in the technological society — Shrek has been working for a tech company for a few years. He is hard-working, self-motivated, and focused. But he still has lots of confusion about goals and reality, frustrations and pleasures, reason and instincts, sufferings and fruitfulness. Therefore he starts looking for answers in philosophy. What did philosophers think…

A grocery store achieved 22 million orders last year. Somehow you are the owner of this grocery store (congratulations 😊). You might want to ask some questions to build a deeper understanding of the underlying logic in your retail business. For example, within the large volume of transactions, What is…

Boost sales with machine learning and statistics powered recommender system — To buy, or not to buy: that is the question. If you were a manager of a grocery store, what products customers never bought but may like? If you run a restaurant, what is the food clients never ordered but may like? If you worked in sales or marketing, what…

Step-By-Step Guide to Build Collaborative Filtering and Association Rule Based Recommender Using Fastai and Python — Recommender system is a promising approach to boost sales to the next level by suggesting the right products to the right customers. This course starts by showing you the main solutions of recommender systems in the industry and the hypotheses behind the main solutions. You’ll then learn how to build…

The 7th anniversary of my Independence Day — If you are lonely Why you told me you’re not lonely Low compatibility with other humans The vacuum you abhorred Settled and unsettled What’s my anchor Goodness and badness Maybe bots are my anchors Whatever you seek It is not evenly distributed Everything will have an answer I didn’t find you but I…

Imagine aliens 👽 attacked and you were trying to land a Lander🛸 on the Moon, what factors would you consider to complete the mission successfully? Here are some considerations: Touch down on the landing pad vs Move away from the landing pad Land with a low velocity vs Crash at…

The family of linear models includes ordinary linear regression, Ridge regression, Lasso regression, SGD regression, and so on. The coefficients of linear models are commonly interpreted as the Feature Importance of related variables. In general, feature importance refers to how useful a feature is at predicting a target variable. …