Natalia Lundqvist

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Building a Real-Time Object Recognition App with Tensorflow and OpenCV

In this article, I will walk through the steps how you can easily build your own real-time object recognition application with Tensorflow’s (TF) new …

Matrix factorization for recommender systems · Data Science notes

Collaborative Filtering for Implicit Feedback Datasets<p>Weighted alternating least squares model which is described in Collaborative Filtering for …

Data Science

Matrix factorization for recommender systems (part 2) · Data Science notes

Lastfm dataset<p>Our goal for this post is to create artist recommendations using history of listenings. We will use lastfm-360K dataset and reco …

Data Science

Benchmarking different implementations of weighted-ALS matrix factorization · Data Science notes

<b>updated 01/08/2017</b> - added CG solver in reco, adjusted results<p>As I promised in last post, I’m going to share benchmark of different implementation of …

This Google Scientist Learned an Interesting Way to Teach Neural Networks

via pixabay.com/HypnoArt<p>Artificial intelligence is as trippy as it gets when it comes to thinking about how machines “think.” But what about when you …

The Concept of Schizophrenia Is Coming to an End – Here's Why

"The syndrome is already beginning to breakdown..."<p>The concept of schizophrenia is dying. Harried for decades by psychology, it now appears to have …

Artificial Intelligence: A Free Online Course from MIT

Today we're adding MIT's course on Artificial Intelligence to our ever-growing collection, 1,300 Free Online Courses from Top Universities. That's …

TensorFlow in a Nutshell — Part Three: All the Models

The fast and easy guide to the most popular Deep Learning framework in the world.<p>Make sure to check out the other articles here.<p>Overview<p>In this …

The Power of Artificial Intelligence (AI), Virtual and Augmented Reality (VR and AR) on Medical Imaging at GPU Tech Conference (GTC) 2017

This year’s GTC organized a healthcare track dedicated to applications at the nexus of artificial intelligence and healthtech. A number of workshops …

Machine Brains Advance Towards Human Mimicry

Computer ‘brains’ in the world of Artificial Intelligence don’t actually function organically, like a human brain, obviously. But as we continue to build new and ever more powerful layers of functionality into the machine brain, they can start to ‘ape’ some of our human imperfections and nuances in …

A new kind of deep neural networks

<i>by Alfredo Canziani, Abishek Chaurasia and</i> <i>Eugenio Culurciello</i><p>There is a <b>new wave of deep neural networks</b> coming. They are the evolution of …

How I went from zero to San Francisco software engineer in 12 months

One year ago, I was working part-time as a route setter at a rock climbing gym in Tennessee. Today I’m working as a software engineer at a cyber-security startup in San Francisco.<p>My journey to this point has been unforgettable and life-changing. And yet as challenging as everything was, I think …

Cheat sheet: TensorFlow, an open source software library for machine learning

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why …

Machine Learning

Machine Learning In Python for Trading

<b>Introduction</b><p>Machine Learning has many advantages. It is the hot topic right now. For a trader or a fund manager, the pertinent question is “How can I …

Machine Learning

Learning Deep Learning with Keras

I teach deep learning both for a living (as the main deepsense.ai instructor, in a Kaggle-winning team1) and as a part of my volunteering with the …

Caffe2: Deep learning with flexibility and scalability

As the AI landscape continues to evolve, a new version of the popular Caffe open source deep learning framework has been released. Caffe2 is backed …

How do you build on Mars? 3D printing from dust!

If you want to build on Mars, you need to use what you have.<p>Let's say we get to Mars. Or ever decide to go back to the moon. It'll be far better to build everything we need using the resources available on location, rather than adding materials to the payload of the craft carrying us there.<p>The …

Python for Big Data in One Picture

This picture originally posted here covers the following topics:• Basic stack<br>• Newer packages<br>• Integrated platforms<br>• Visualization<br>• Data …

Python Deep Learning Frameworks Reviewed

I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the “Best Python library for neural networks”, and it …

Learning Reinforcement Learning (with Code, Exercises and Solutions)

Skip all the talk and go directly to the Github Repo with code and exercises. Why Study Reinforcement Learning Reinforcement Learning is one of the …

Machine Learning

Deep Reinforcement Learning: Playing a Racing Game - Byte Tank

Agent playing Out Run, session 201609171218_175eps<br>No time limit, no traffic, 2X time lapse<p>Above is the built deep Q-network (DQN) agent playing Out …

Deep Learning

Capturing semantic meanings using deep learning

Word embedding is a technique that treats words as vectors whose relative similarities correlate with semantic similarity. This technique is one of …

Introduction to TensorFX

TensorFX is an end to end application framework to simplifies machine learning with TensorFlow - both training models and using them for prediction. …