janarez

Reputation 2 200 Joined Admin

Co-founder of KnowledgePicker 💻🧠🎾

Growing Mango From Seed - Germination To Week 9
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Hooked: How to Build Habit-Forming Products
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Beautiful Visualization, Chapter 3: Wordle
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Get Mental Notes
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Should I Use A Carousel?
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What Gödel Discovered
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The Wim Hof method : activate your full human potential
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Range: Why Generalists Triumph in a Specialized World
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The Pathologies of Big Data
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Choose Boring Technology
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User interface (UI)
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Data science
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Topological data analysis (TDA)
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ASP.NET Core
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PostgreSQL
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Comments

1 0

7 rating 1 level 7 clarity 3 user's background

Not overly long book with clear message.
At times the examples seem superficial and deeper analysis of claims is missing.
I recommend this book for quick read if you want to build (not only) habit-forming mobile / web app. You'll get a feeling for some habit forming strategies, but don't expect too much, just conceptual hints.

7 rating 3 level 8 clarity 2 user's background

Alright introduction to differences between Hadoop and Spark if you don't know anything about them.

8 rating 3 level 9 clarity 4 user's background

As always great study backed by study and examples.

2 rating 5 level 5 clarity 5 user's background

No support for claims, Emotional language aiming to awe.

5 rating 3 level 8 clarity 3 user's background

Data to support claims.
The research is only for image galleries, which is a very specific use case. And a bad one to fully accept / reject carousels.
Wrote at Should I Use A Carousel?
0 0

8 rating 1 level 10 clarity 3 user's background

Brief, clear and fun.
Just statements.

5 rating 1 level 6 clarity 3 user's background

Easy to understand the Wim Hof method.
It reads alright in the first half. Then it gets repetitive. It seems appealing, but there are factual inconsistencies in the text. And some parts are oversimplified. On the other hand scientific research on the method is cited as well. Overall, it gives ad odd feeling when research and guru-like passages intermix within the book.

10 rating 1 level 10 clarity 3 user's background

Awesome book. Loads of great stories.
Read this book especially if you feel like you cannot decide which field is right for you.
Wrote at The Pathologies of Big Data
0 0

10 rating 1 level 10 clarity 7 user's background

Relevant, well laid out points.
Old (but it does not matter).
Wrote at Topological data analysis
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9 rating 2 level 8 clarity 2 user's background

Loads of examples. Slowly paced, so good for total beginners.
At times the pace is too slow since they take their time to write the notes.
Definitely recommend for introduction into TDA.
Wrote at Computing Homology
1 0

10 rating 4 level 9 clarity 5 user's background

Last part of the homology series. Contains code and is the easiest to comprehend. Does not make sense to read without the previous post.
Wrote at Homology Theory — A Primer
1 0

10 rating 6 level 9 clarity 4 user's background

Awesome article. Very approachable and great explanation.
Wrote at The Fundamental Group — A Primer
1 0

6 rating 7 level 7 clarity 3 user's background

Reads well, but is not that easy to understand without background knowledge, especially in the later part.
0 0

8 rating 7 level 7 clarity 4 user's background

A review of the current situation in recommender systems with respect to ethics. It's a paper, so it's not an easy read. However, I still recommend it as it asks important questions that we should be thinking about.
0 0

2 rating 2 level 6 clarity 5 user's background

Factual mistakes.
Not worth reading.

Followers

martin

This user is quite mysterious.

jjones

Co-founder of KnowledgePicker 💻🚂🏂

Followees

martin

This user is quite mysterious.

jjones

Co-founder of KnowledgePicker 💻🚂🏂

Edit requests

Add resource "Growing Mango From Seed - Germination To Week 9" Accepted

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Add resource "Hooked : how to build habit-forming products" Accepted

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Add topic "Apache Hadoop" Accepted

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Add topic "Carousel (UI)" Accepted

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Add resource "The Wim Hof method : activate your full human potential" Accepted

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Add resource "The Pathologies of Big Data" Accepted

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Edit topic "Topological data analysis (TDA)" Accepted

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Edit resource "Homology Theory — A Primer" Accepted

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Add resource "Recommender systems and their ethical challenges" Accepted

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Add resource "Deep Neural Networks for YouTube Recommendations" Accepted

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Add resource "Gary Taubes: Is Sugar Slowly Killing Us?" Accepted

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Add resource "What Gödel Discovered" Accepted

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Add resource "What the dog saw and other adventures" Accepted

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