Ever since AlexNet won the ImageNet competition in 2012, Convolutional Neural Networks (CNNs) have…
In 2014, the research paper Generative Adversarial Nets (GAN) by Goodfellow et…
One of the key principles of a good learning process is to keep learning things…
Instacart Market Basket Analysis competition on Kaggle is a great example of how machine learning can be applied to a business problem and a useful exercise for feature engineering. Basically, the problem comes down to predicting which products a…
Hyperparameter optimization is a powerful tool for unlocking the maximum potential of your model, but only when correctly implemented. Here, I’ll share five common problems…
Menyambung cerita sebelumnya tentang Chatbot, kita tidak bisa melupakan beberapa kejadian menarik…
This is the second post in our NeuroNuggets series. This is a series were we discuss the demos already available on the recently released NeuroPlatform. But it’s not as much about the demos themselves as about the ideas behind each of these models. We also meet the new…
Modern computer threats and intrusion attacks are far more complicated than those seen in the past. In IoT devices, these threats and attacks become even more visible and predominant as the heterogeneous and distributed characters…
Deepnews.ai is the new name for the News Quality Scoring Project I’m working on at Stanford. This is the first update. Subscribe here to get regular ones in your mailbox.
by Frederic Filloux
Here is a running list I will update periodically with key terms for neural networks / deep learning. I attempt to explain each concept in somewhat less technical terms than existing resources do.
Udacity Advance Lane-Detection of the Road in Autonomous Driving
This is Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project…
I followed the tutorial in the link provided below
One of the most fascinating areas of Deep Learning is, without at doubt, art generation.
মেশিন লার্নিং এর পূর্বশর্ত — ১
I finalized the Video Timelines for the 12 lessons of “Intro to Machine Learning”.This course was taught by Jeremy Howard (ex-McKinsey and ex-Kaggle CEO) to the students of the Data Institute of the U. of San Francisco, using a specific library (Fast.ai) built on top of PyTorch.
As a data science team that’s always working to increase efficiency, especially when it comes to pushing…
Início dos encontros: terça, 20/3, e sábado, 24/3, às 9h da manhã, no ISC/TCU!
Is split into two parts Trying to detect limbs and then redesigning YOLOv2 to work with angled…
Opinions expressed in this piece are my own. Some parts of this article were tangentially inspired by The Economics of Consent, by Brit Marling.
Let’s make a deal: I will rent you an apartment in the center, for a reasonable rent. All I want is proof of…
Or should your digital copy die all over again?
Have you already added #Blockchain or #Crypto to your Twitter description? I use a tool…
We are creating a platform in a simple language, which will enable ordinary people who do…
Great article. Please check out this formula(which i got from https://arxiv.org/pdf/1611.02550.pdf):
The advancements in vehicle technology in past decades has put a significant strain on the effectiveness of quality control tools (even Statistical…
Decision trees are one of the most widely used machine learning algorithms in modern world. In much sense, I feel they are like the ‘arrays’ of machine learning. Not a very good analogy. Right? Let me explain.
Contemporary people, who are very interested in science and latest developments, have several popular themes to discuss with each other: Elon Musk and his quite ambitious views and ideas, Penrose–Hawking singularity theorems which undergo the second wave of popularity, blockchain…
Our first exposure to designing for and working with AI technology was in 2015…
Written by Richard Pope, Chief Operating Officer at IF
Depending on your needs, getting advice from a lawyer can set you back $500 an hour. It’s a fee…
With chatbots taking centre stage in the world of digital transformation, more and more businesses are considering — if not…
Last week I was in Bogota again. It was less interesting than IAH. In Houston’s new terminal I was accosted by the…
“Here is a very common story: a team wants to implement a model to predict something like the probability of a user clicking an ad. They start with a logistic regression and quickly (after some minor tuning) reach 90% accuracy.”
Accuracy is a bad metric to use when dealing with ad clicks or other imbalanced binary prediction…
I’m exactly what you would call a typical millennial. 10 years ago when I was but a small boy from a small suburb just outside of the glamorous highlights of the capital, I set to embark on a journey with a single solitary unwavering purpose: to change the world. Problem is: I did not know how.
Однією з частих вимог бізнесу до моделей машинного навчання є пояснюваність.Чому це важливо? Якщо ви запитаєте у лікаря чому діагноз саме такий, він розповість, який симптом “призвів” до цього діагнозу (наприклад специфічний висип та висока температура), однак моделі…
I am curious about our intelligent ability to learn.
Artificial Intelligence Branches:
In two recent presentations at MIT and Stanford Andrew Ng, Chairman of Coursera and Chief Scientist at Baidu, lays…
Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking
1. Creating a category, from pricing to positioning…
Resource List
One of the major subjects concerning the future of technology and other various fields associated with it today is: “How is Machine learning and AI going to affect X?”. There are worries about its regulation and…
We are already seeing the dangers of AI automation in many facets of life today.
In the last few years, big data has become simple to acquire, store, and process…
Machine Learning is now unlocking the more energy and time saviour options for the users by the use of different algorithms and strict patterns. The machine learning results are directly…
