“For decades, machine learning approaches targeting Natural Language…
I’m working since roughly 3 years up to 60% of my time with jupyter notebooks. I think they are…
The premise of meta learning was an intoxicating one to me, when I first of…
Elimizdeki verilerin sınıflarının bilinmediği durumlarda gözetimsiz öğrenme algoritmalarına başvurmaktayız. Bu yazıda gözetimsiz öğrenme algoritmalarından kümele işlemini ele alacağız. Kümele işlemi, eldeki verilerin…
World Bank hosted its poverty prediction competition on the competition hosting website…
Pada umumnya, problem dalam statistical learning digolongkan pada salah satu dari dua kategori: supervised atau unsupervised learning.
Karakter dari supervised learning, untuk setiap observasi akan diasosiasikan dengan…
Our Recent Advances and Experiences on Deep Learning for Computer Vision
機器學習的傲慢與偏見
মেশিন লার্নিং এর পূর্বশর্ত — ১
হরেক রকমের লাইন
*** UPDATE*** pip install now works to install opencv4 in a python 3.7 distribution of Anaconda. Unless you need to install on python 3.6, this article will not likely help you and may be out of date in any case. ***
TLDR: During my experiments with discrete NN architectures I made a VAE neural network for stylized midi music generation. Later…
In this month’s research, we discuss four main conundrums faced when attempting to use…
If a Machine Learning algorithm is considered the “engine” behind your…
In continuation to the last story related to my senior year project “Exoskeleton Arm” —
I concluded the previous report of the project with the conclusion of requirement of a dynamically adaptive control scheme requirement for maintaining performance of the arm irrespective of load…
You have developed your first chatbot, and everything is working fine. Now the question…
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TLDR: I started it as a tutorial project to make myself familiar with RNN and Tensorflow — teach the neural network to generate a…
Neurona is a daughter of my first NN text-generation project Neural Defence. After a success with the automated generation of Russian poetry we with a friend of mine, Ivan Yamshchikov, decided to focus on the English version of the same architecture.
Image datasets contain giant number of samples nowadays. Similar is wrong for 3d model datasets. They do not contain hundreds of thousands images. They are not well studied and balanced. Also most datasets contain not orientation-aligned bodies.
So, I’ve been reading research papers for quite some time and I thought it would be good if I share what I learn and understand from these.Thus, making it easier for others to understand what’s not really easily understandable (for a normal person).
ในบทความนี้เราจะมีอธิบายแนวคิดเกี่ยวกับการจดจำหรือการหาว่าข้อมูลที่เรารับมานั้นมีความเหมือนกับข้อมูลที่มีอยู่แล้วตัวไหนบ้างโดยเรียกว่าการ Recognize
Between fraudulent documents and claims, natural disasters like floods and earthquakes, and lack of quality and integrity in the manufacturing industry, there are many reasons why insurance underwriting often fails. Not the least of these reasons is…
As a current student at the Data Science Immersive with General Assembly, I completed a project looking at data involving Iowa liquor sales. This was a project in which the training wheels came off and completed a full data science problem. It involved…
The story starts at March 2017 when my boss told that it is almost impossible to recognize 3d bodies automatically. What the one considers impossible challenges the other.
An Initiation To AI, Machine Learning and Deep Learning For Everyone
In this blog, I attempt to explain what AI ( Artificial Intelligence ) is, and it's…
There are so many processes within insurance that are manually executed and are both time-consuming as well as expensive for insurance providers.
Follow our blog to learn more on how AI is revolutionising the insurance industry!
The author indicated that Machine Learning techniques can be applied to Human-Centered Interaction field. In this article, we look across products to see how ML can stay grounded in human needs while solving them in unique ways only…