My thoughts on Software Engineering, Science and Startups
Learn what Psychological Triggers are used to growth-hack products.
Learn how you can optimize your onboarding flow to generate more engaged and qualified leads.
You have a business idea but you're not sure if you're solving a real problem. Use this competitive analysis framework to figure it out.
You've created a Landing Page but your conversion rates are low? Check if you made one of these 10 common Landing Page mistakes.
Learn why retaining existing customers should be the core focus of every SaaS business and what technique you can use to keep customers from leaving.
A step-by-step guide on how to figure out what your customers are looking for when visiting your Landing Page to convert more users and generate more leads.
You're offering a free trial but your users aren't converting? Learn what trick you can use to boost your conversion rates and turn free users into paying customers.
You love working on your product but marketing isn't your cup of tea? Learn how to use your support system to generate content marketing ideas for you.
What I learned during the first half of 2020 while studying Machine Learning and Homomorphic Encryption.
Take a deep dive into Decision Trees and program your very own based on the CART algorithm in pure Python.
Learn how to use the Logistic Regression model to classify unseen data.
Learn how to implement one of the core Machine Learning algorithms and its big brother from scratch.
Learn how to implement your own spam filter with the help of Bayes Theorem.
Learn how k-NN leverages your existing data to help classify new, unseen data.
Understand and implement one of the most fundamental optimization techniques used in Machine Learning.
Artificial Intelligence slowly but surely takes over our daily lives. Let's peek under the covers to learn how it works and ensure that it's used for good.
Learn why Swift has the potential to replace Python as the core driver for modern Machine Learning applications.
Easily abstract and reuse existing code.
Learn how modern NLP based on word embeddings work.
Understanding the underpinnings of modern Game AIs.
A curriculum to self-study Machine- and Deep learning with zero prior knowledge.
A curriculum to self-study advanced mathematics with minimal prior knowledge.