I would like to live in a world whose systems are build…
As I’ve started to pay more attention to machine learning, differentiable rendering is one topic that caught my attention and has been popping up with some frequency. My first thought was, “cooooool is this a…
[อ่านพาร์ทแรกให้จบก่อนนะ 555รู้จักกับ Latent Dirichlet Allocation (Part 2)…
Few months ago I had the opportunity to work on a project with a huge data set with over 500 000 rows! To be honest, it was the very first time I had to handle an insane amount of data, but I thought it would…
In Part 3 of the Python for data science series, we looked at the pandas library and it’s most…
The term Lean startup was coined about ten years ago. Since that time it has grown to become one of…
The recipe of the Success of BiSeNet (Bilateral Segmentation Network).
During my class in Object Recognition and Image Understanding I had to choose my own final project and…
I have been working with the technology industry, previously as intern and now as a software developer. After using the PostgreSQL for a few months, this was the exact question which struck me. Is PostgreSQL really the future?
Fast.ai is a research organization, self-funded by Jeremy Howard and Rachel Thomas, with two goals:
August 20, 2018
Tener en cuenta que este es mi resumen del libro deeplearningbook.org, para mi yo del futuro, y en el tiempo que disponga se irá mejorando.
I have been fascinated to understand how an algorithm can identify whether a given picture is hot-dog or not / predict the name of a flower, given a picture of the flower. I have watched some videos on how a model is created, how it is trained and how it is…
My team at Invector Labs will be hosting a new deep learning webinar: “10 Things I Wish I Knew Before Scaling Deep Learning Solutions” on Wednesday August 29th at 1pm. We are planning to discuss some practical lessons that…
Computer Vision Problem:
I did not understand this approach (initially) because I kept looking for “fit / predict” methods similar to sklearn. Training and testing using command line is elegant, new (for me) and I love it (now :)One more thing that I really appreciate is the ease of installation. I could install fasttext quickly and without changing my current environment.
First lets look at some examples of using AI in our daily lives:
I found the machine learning an emoji to be quite useful, but did not understand the right-hand side of the chart (the stuff about “feature reduction” for example)
Youtube is known as one of the leading social media platforms, but what some might not know is that it’s monetization opportunities leads to it becoming saturated with a wide variety…
First of all this is the first of the multi-story(hehe) series, nerd alert, as it will focus on documenting the little i have learned about Machine Learning. I will try to update it regularly or in one go depends upon the motivation (which is not good). My…
