Thinking in Algorithms: How to Combine Computer Analysis and Human Creativity for Better Problem-Solving and Decision-Making: Strategic Thinking Skills, Book 2
Think creatively like a human. Analyze and solve problems efficiently like a computer.
Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results!
The good news is, there is!
Apply computer algorithms to your everyday problems.
Learn what algorithms are and use them for better decision-making, problem-solving, and staying on track with your plans. Become more productive, organized, finish what you start, and make better decisions.
If you feel that you’re not living up to your potential, struggle with being consistent about your habits, and would like to make quicker and better decisions, this audiobook is for you!
Get things started immediately and finish them within your deadline.
Thinking in Algorithms presents research and scientific studies on behavioral economics, cognitive science, and neuropsychology about what constitutes a great decision, what are and how to manage its roadblocks. This is an interdisciplinary work that will help you learn how to apply computer algorithm-based solutions to your life challenges.
Know when to stop. Be efficient with your time and energy.
Albert Rutherford is an internationally best-selling author whose writing derives from various sources, such as research, coaching, academic and real-life experience.
Machine learning principles for the laymen.
Learn to build your own problem-solving algorithms using a unique formula The science of optimal stopping How to overcome procrastination and overthinking using algorithms Design a schedule to meet your deadlines and maximize efficiency Help your emotional, biased brain to make more rational and predictable decisions and follow through plans using algorithm-based problem-solving today!
PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
title was a click bait for me I expected something to do with problem solving, instead it turned out to be one of those self help books with a bunch of tech buzz words slapped to it
An algorithm is a step-by-step procedure or a set of rules designed to perform a specific task or solve a particular problem. It is a precise sequence of instructions that can be followed to achieve a desired outcome, often used in mathematics, computer science, and everyday problem-solving. Algorithms can be simple, such as a recipe for cooking, or complex, like those used in machine learning and artificial intelligence.
Thinking in Algorithms offers an insightful exploration into the world of algorithmic thinking, providing readers with a structured approach to problem-solving. The book is well-suited for anyone looking to enhance their cognitive skills and apply logical frameworks to everyday challenges.
Here are the takeaways from this book:
Steps to solve problems: Follow a structured approach to break down and address complex issues systematically.
Brain always looking for shortcuts: Our brains naturally seek efficient ways to solve problems and conserve energy.
Relative advantage: Evaluate options based on their relative benefits rather than absolute values.
Anchoring: Initial information serves as a reference point for subsequent decisions.
Herd mentality: People tend to conform to group behavior and decisions.
Collective thinking: Group collaboration can enhance problem-solving through diverse perspectives.
Emotional thinking: Emotions influence our decision-making processes, often overriding logic.
Machine Learning thinking: Utilize data-driven approaches and algorithms to predict and solve problems.
Look and leap rule: Balance between exploring new options and exploiting known solutions.
Threshold rule: Establish a minimum acceptable outcome before making a decision.
Optimal stopping: Decide when to stop searching for better options and choose the best available one.
Moorse algorithm: A specific algorithm for efficient problem-solving in certain contexts.
Thinking in Algorithms is a valuable resource for anyone interested in developing a logical, structured approach to solving problems.
Read this book over Winter Break. Very practical and straightforward - I liked that the author actually included steps that the reader can take to create algorithms to simplify their everyday life, such as listing out the top 10 things that are currently stressing you out and narrowing them down to focus on the top 3 that are the most important priorities (of course, there are more steps outlined, I am simply summarizing). The book was about 192 pages, so it was not a super long book, and the language is easy to understand for the everyday person. I definitely recommend if you would like to learn more about practical techniques to simplify your life.
Algorithms is a concept that is generally associated in a tech based environment. But what if we can develop algorithms for our general day to day routine decision making and apply the same to get the most productive outcome. Thinking in Algorithms by Albert Rutherford is an interesting take on this non tech application for enhancing human skill. Thoughts on this books from our blog: