Blog


Anaconda desktop entry for Ubuntu 18

posted Oct 19, 2019, 7:47 PM by MUHAMMAD MUN`IM AHMAD ZABIDI

Step 1

Check if anaconda3 is installed on your system or not (Sometime the package may be broken due to network issues during installation (Not worked for me)). And whether you are able to launch anaconda-navigator without a desktop entry. Try this. If it works, you're definitely all set to go.

$ anaconda-navigator &

Step 2

Open your text editor and save the following content as Anaconda.desktop to your home directory.

[Desktop Entry]
Version=1.0
Type=Application
Name=Anaconda-Navigator
GenericName=Anaconda
Comment=Scientific Python Development Environment - Python3
Exec=bash -c 'export PATH="/home/munim/anaconda3/bin:$PATH" && /home/munim/anaconda3/bin/anaconda-navigator'
Categories=Development;Science;IDE;Qt;Education;
Icon=/home/munim/anaconda3/lib/python3.7/site-packages/anaconda_navigator/static/images/anaconda-icon-256x256.png
Terminal=false
StartupNotify=true
MimeType=text/x-python;

Change munim to your username in Exec and Icon lines. Also change python3.7 to something else if you're not on Python 3.7.

Step 3

Copy your Anaconda.desktop to /usr/share/applications/

$ sudo cp Anaconda.desktop /usr/share/applications

This will create a desktop entry named Anaconda in /usr/share/applications/.

Step 4

Hit the Windows key on your keyboard and search for "Anaconda"


From Algorithm to Chip

posted Oct 14, 2019, 10:54 PM by MUHAMMAD MUN`IM AHMAD ZABIDI


Bird Quotations

posted Sep 16, 2019, 8:21 PM by MUHAMMAD MUN`IM AHMAD ZABIDI   [ updated Sep 16, 2019, 8:34 PM ]


”A bird does not sing because it has an answer.
It sings because it has a song.”
Chinese Proverb

”Everyone wants to understand painting.
Why isn’t there any attempt to understand bird songs?”
Pablo Picasso (1881-1973)

”Use what talents you possess: the woods would be very silent if no birds sang there, except those that sang best.”
Henry Van Dyke (18521933)

”Fall is my favorite season in Los Angeles,
watching the birds change color and fall from the trees.”
David Letterman (1947 - )

”God loved the birds and invented trees.
Man loved the birds and invented cages.”
Jacques Deval (1895-1972)

”A light broke in upon my soul –
It was the carol of a bird;
It ceased – and then it came again
The sweetest song ear ever heard.”
Lord Byron (1788-1824)

”It is not only fine feathers that make fine birds.”
Aesop (620 BC - 560 BC)

Feature Engineering: Some Towarddatascience Tutorials

posted Sep 14, 2019, 8:53 PM by MUHAMMAD MUN`IM AHMAD ZABIDI   [ updated Sep 14, 2019, 9:48 PM ]

 

Six Important Steps to Build a Machine Learning System

A field guide to thinking about ML projects by Rahul Agarwal.

These are the 6 steps:

    1. Problem Definition
    2. Data
    3. Evaluation
    4. Features
    5. Modeling
    6. Experimentation

The Hitchhiker's Guide to Feature Extraction

Some tricks and code for Kaggle and everyday work by Rahul Agarwal.

Two interesting approaches:
  • Automatic feature creation using featuretools framework
  • Using autoencoders
 

The Five Feature Selection Algorithms every Data Scientist should know

By Rahul Agarwal.

These are the 5 algorithms:

    1. Pearson correlation
    2. Chi-squared
    3. Recursive feature elimination
    4. Lasso from sklearn
    5. RandomForest from sklearn

Overview of LSTM

posted Sep 11, 2019, 2:54 AM by MUHAMMAD MUN`IM AHMAD ZABIDI   [ updated Sep 11, 2019, 2:54 AM ]

Towards Data Science: Deep Learning For Beginners Using Transfer Learning In Keras

posted Sep 11, 2019, 2:15 AM by MUHAMMAD MUN`IM AHMAD ZABIDI

Deep Learning For Beginners Using Transfer Learning In Keras Learning


Learn how to train your own object recognition model with minimum data and computational power using transfer learning.

Aditya Ananthram in Towards Data Science

Towards Data Science : Installing Keras & Tensorflow using Anaconda for Machine Learning

posted Sep 11, 2019, 2:10 AM by MUHAMMAD MUN`IM AHMAD ZABIDI   [ updated Sep 11, 2019, 2:16 AM ]

Installing Keras & Tensorflow using Anaconda for Machine Learning


This series will teach you how to explore and built models using python.

Frank Ceballos in Towards Data Science

Free ARM Programming Book

posted Aug 10, 2019, 8:00 AM by MUHAMMAD MUN`IM AHMAD ZABIDI   [ updated Aug 10, 2019, 8:03 AM ]


Book Description (by 'Amazon Customer')


This book was published by the 'publishing arm' of Computer Concepts (now Xara) around 1988 or so. Acorn was selling the ARM2 (?) development workstations and had just launched the A300 Archimedes computer. My copy was handed to me when I joined Computer Concepts. Incorporating an assembler was par for the course for Acorn, and much of Computer Concepts software was written as assembly code wrapped by a two-pass BASIC for-loop. The book is a slim book, and covers the ARM3 instruction set including the load/store instructions, arithmetic, barrel shifter. It's a decent read and covers the material adequately, but as always, it probably better to actually learn mainly by getting your hands dirty and writing some code. Note that there is no thumb coverage, since this was not introduced to the ARM until much later. This book is more of a historical artifact now, being almost 20 years old, but still of interest.

Links




Free STM32 Book

posted Aug 10, 2019, 7:44 AM by MUHAMMAD MUN`IM AHMAD ZABIDI


Book Description

This book is intended as a hands-on manual for learning how to design systems using the STM32 F1 family of micro-controllers. It was written to support a junior-level computer science course at Indiana University.

The focus of this book is on developing code to utilize the various peripherals available in STM32 F1 micro-controllers and in particular the STM32VL Discovery board. Because there are other fine sources of information on the Cortex-M3, which is the core processor for the STM32 F1 micro-controllers, we do not examine this core in detail; an excellent reference is "The Definitive Guide to the ARM CORTEX-M3."

This book is not exhaustive, but rather provides a single "trail" to learning about programming STM32 micro controller built around a series of laboratory exercises. A key design decision was to utilize readily available off-the-shelf hardware models for all the experiments discussed.

About the Authors

Geoffrey Brown is a Professor of Computer Science, School of Informatics and Computing, Indiana University.

Links


1-10 of 133

Comments