List: Reading list | Curated by Isha Sharma

Nov 14, 2024
17 stories
Reading list
In
Google Design
by
Jens Riegelsberger
The Bauhaus: Finding Creative Inspiration in CollaborationOne hundred years later, what can UX learn from the iconic design school?
Sep 4, 2019
7
Sep 4, 2019
7
Mark Johnson
Why Gödel, Escher, Bach is the most influential book in my life.Musings on Hofstadter’s phenomenal book about computation, consciousness, and epistemology.
Feb 23, 2022
84
Feb 23, 2022
84
In
Upskilling
by
Kristi Dawn Riggs
Design Thinking: Visual ThinkingMore tools to communicate complex concepts and solve problems efficiently.
Jan 10, 2022
Jan 10, 2022
In
UX Collective
by
Lee Martin
Generating and sharing dynamic images on the webThe Sharing: Part 1.
Feb 8, 2021
Feb 8, 2021
In
Red Shift
by
Gant Laborde
7 Reasons React Native is Going to Be BIG in 2021When you plan to invest in mobile app development, the very first question is usually the platform and tooling. More exceptional…
Jul 16, 2020
9
Jul 16, 2020
9
In
Scrittura
by
J.D. Harms
A Portrait of Your OwnA Poem
Jan 1, 2021
9
Jan 1, 2021
9
In
TDS Archive
by
Merzmensch
JukeBox by OpenAI.The Charme of AI-generated Music (with samples and Colab Notebook)
Nov 6, 2020
1
Nov 6, 2020
1
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In
TDS Archive
by
Ayush Pant
Introduction to Logistic RegressionIn this blog, we will discuss the basic concepts of Logistic Regression and what kind of problems can it help us to solve.
Jan 22, 2019
14
Jan 22, 2019
14
Lachlan Miller
Understanding and Calculating the Cost Function for Linear RegressionThis post will focus on the properties and application of cost functions, how to solve it them by hand. Then we will implement the…
May 4, 2018
25
May 4, 2018
25
In
Technology at Nineleaps
by
Abhinav Mazumdar
Logistic Regression — Gradient Descent Optimization — Part 1Classification is an important aspect in supervised machine learning application. Out of the many classification algorithms available in…
Apr 13, 2018
5
Apr 13, 2018
5
harish reddy
Regularization in PythonRegularization helps to solve over fitting problem in machine learning. Simple model will be a very poor generalization of data. At the…
Nov 7, 2019
2
Nov 7, 2019
2
In
The Theory Of Everything
by
Avinash Sharma V
Understanding Activation Functions in Neural NetworksRecently, a colleague of mine asked me a few questions like “why do we have so many activation functions?”, “why is that one works better…
Mar 30, 2017
58
Mar 30, 2017
58
vinodhkumar baskaran
Activation functions and its typesWhat is “Activation function” ?
Apr 14, 2020
3
Apr 14, 2020
3
Obumneme Stanley Dukor
Neural Representation of AND, OR, NOT, XOR and XNOR Logic Gates (Perceptron Algorithm)While taking the Udacity Pytorch Course by facebook, I found it difficult understanding how the Perceptron works with Logic gates (AND, OR…
Nov 13, 2018
25
Nov 13, 2018
25
Dharti Dhami
Regularization in Deep LearningDeep learning has found great success in a lot of areas ranging from natural language processing, computer vision, speech recognition, to…
Jan 4, 2019
1
Jan 4, 2019
1
In
TDS Archive
by
Simeon Kostadinov
Understanding Backpropagation AlgorithmLearn the nuts and bolts of a neural network’s most important ingredient
Aug 8, 2019
21
Aug 8, 2019
21