Founder, author
The notebook
Articles & Writing
Read Grokking AI Algorithms, 2nd Edition
I wrote Grokking Artificial Intelligence Algorithms. The book is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI.
Brain food: The blank canvas problem
A blank canvas is vessel for expressive artwork, insightful knowledge, innovative solutions, and anything that our minds can imagine
Brain food: Storytelling with Batman, and your 100 billion neurons
Welcome to this week's brain food. We're exploring how everything expressed can be more impactful as a story, and each of our 100 billion neurons
Brain food: Survivorship bias in work and life, Midjourney app design, and spicy benefits
Welcome to this week's brain food. We're exploring survivorship bias in daily work and life, using Midjourney's latest release to imagine app concepts, and the potential health benefits of chillis
Brain food: Metric-driven effort, AI car design, and mouse DNA
Welcome to this week's brain food. These aim to be short and easy to digest pieces that enrich your work and life with simple ideas and principles.
Brain food: Deep work vs collaboration, AI sneaker design, and the job of sleep
Welcome to this week's brain food. These aim to be short and easy to digest pieces that enrich your work and life with simple ideas and principles.
Brain food: Focused communication, AI dashboards, and fighting tooth and nail
Welcome to this week's brain food. These aim to be short and easy to digest pieces that enrich your work and life with simple ideas and principles.
Brain food: Speaking last and the human need for collaboration
Welcome to this week's brain food. These editions aim to be short and easy to digest pieces that enrich your work and life with simple ideas and principles.
Ideas everyone should know
By learning about disparate concepts in the world, one can build an intuition and deeper understanding of the interconnectivity of everything; and hopefully use that more-informed view to make a positive difference.
Interacts App • Effective facilitation
Facilitating meetings and workshops can be daunting and somewhat stressful. Moreover, attendees are often quiet, disengaged, and feel like the session is a waste of their time <cue joke about useless meetings>.
Reinforcement learning with Q-learning
Like other machine learning algorithms, a reinforcement learning model needs to be trained before it can be used. The training phase centers on exploring the environment and receiving feedback, given specific actions performed in specific circumstances or states.
Intuition of reinforcement learning
Reinforcement learning (RL) is an area of machine learning inspired by behavioral psychology. The concept of reinforcement learning is based on cumulative rewards or penalties for the actions that are taken by an agent in a dynamic environment.
Introduction to purpose-specific neural networks
Artificial neural networks (ANNs) are versatile and can be designed to address different problems. Specific architectural styles are useful for solving certain problems. Think of the architecture as being the fundamental configuration of the network.
Intuition of data in artificial neural networks
To explore the workings of multi-node ANNs, consider an example dataset related to car collisions. Suppose that we have data from several cars at the moment that an unforeseen object enters the path of their movement.
Intuition of neurons in artificial neural networks
Artificial neural networks (ANNs) are powerful tools in the machine learning toolkit, used in a variety of ways to accomplish objectives such as image recognition, language processing, and game playing.
ML and decision trees for beginners
Suppose that we have several vehicles that are cars and trucks. We measure the weight of each vehicle and the number of wheels of each vehicle. We also forget for now that cars and trucks look different. How can we make an algorithm tell them apart?
Machine learning flavours
Machine learning is useful only if you have the right data and have questions to ask that it might be able to answer. Machine learning algorithms find patterns in data but cannot do useful things magically.
Machine learning intuition
Machine learning can seem like a daunting concept to learn and apply, but with the right framing and understanding of the process and algorithms, it can be interesting, useful, and fun. Let's explore apartment prices in a city.