Thomas UberGeek

2,508 Flips | 2 Magazines | 846 Likes | 17 Following | 20 Followers | @ThomasUberGeek | Tech Geek

Crypto portfolio optimization with Python and Tensorflow — Matrix calculus approach #2

If you are one of the happy readers of my previous article, welcome back! If you are not, I strongly recommend you to check out the first chapter and …

Machine Learning

Currying in calculus, PDEs, programming, and categories

Currying is a simple but useful idea. (It’s named after logician Haskell Curry [1] and has noting to do with spicy cuisine.) If you have a function …

Programming

Are they watching you? The tiny brains of bees and wasps can recognise faces

Recognising faces is essential for how we interact in complex societies, and is often thought to be an ability that requires the sophistication of …

Artificial Intelligence

Face recognition with Go

<i>This article tells about the process of creation and usage</i> <i>face recognition library</i> <i>for Go language.</i><p>Neural networks are highly popular today, people …

Machine Learning

Explaining blockchain basics

Following my studies of blockchain, I've focused to have a deeper understanding of what is a blockchain and how it works. Of course a lot of you may …

Blockchain

The data that transformed AI research—and possibly the world

In 2006, Fei-Fei Li started ruminating on an idea.<p>Li, a newly-minted computer science professor at University of Illinois Urbana-Champaign, saw her colleagues across academia and the AI industry hammering away at the same concept: a better algorithm would make better decisions, regardless of the …

Deep Learning

Create video subtitles with translation using machine learning | Amazon Web Services

Businesses from around the globe require fast and reliable ways to transcribe an audio or video file, and often in multiple languages. This audio and …

Designing AI to Make Decisions

<b>Kathryn Hume,</b> VP of integrate.ai, discusses the current boundaries between artificially intelligent machines, and humans. While the power of A.I. can conjure up some of our darkest fears, she says the reality is that there is still a whole lot that A.I. can’t do. So far, A.I. is able to accomplish …

Artificial Intelligence

Understanding SVMs’: For Image Classification

Hello friends! Welcome back… In this fourth tutorial we are going to understand Support Vector Machines. An algorithm that intuitively works on …

Machine Learning

Now anyone can train Imagenet in 18 minutes

Written: 10 Aug 2018 by <i>Jeremy Howard</i><p><i>Note from Jeremy</i>: I’ll be teaching Deep Learning for Coders at the University of San Francisco starting in …

Deep Learning

A small team of student AI coders beats Google’s machine-learning code - MIT Technology Review

Students from Fast.ai, a small organization that runs free machine-learning courses online, just created an AI algorithm that outperforms code from …

Machine Learning

SoftBank Billionaire Devoting 97% Of 'Time And Brain' To AI

Masayoshi Son, the founder of tech giant SoftBank and the richest man in Japan, says he is devoting 97% of his “time and brain” to the scientific field of artificial intelligence.<p>Son made his comments on Monday as SoftBank reported a 49% jump in profits, according to The Financial Times. The profit …

Artificial Intelligence

Self-supervised learning gets us closer to autonomous learning

Self-Supervised Learning is getting attention because it has the potential to solve a significant limitation of supervised machine learning, viz. …

Machine Learning

Tracking multiple objects with OpenCV

By onAugust 6, 2018 in Object Tracking, Tutorials<p>Inside today’s tutorial, you will learn how to track multiple objects using OpenCV and Python.<p>This …

Python Programming

Unmasking A.I.'s Bias Problem

<b>WHEN TAY MADE HER DEBUT</b> in March 2016, Microsoft had high hopes for the artificial intelligence–powered “social chatbot.” Like the automated, …

Artificial Intelligence

The Real Reason Microsoft Is Building So Many Computer Vision Apps

Turns out Microsoft isn’t as interested in rating mustaches or guessing ages as it is helping the visually impaired navigate the world.<p>For the past few years, Microsoft has been steadily releasing goofy little apps that use neural networks to perform tricks ranging from guessing your age and rating …

Machine Learning

Mei uses AI to improve relationships by analyzing text messages

All it takes is one misinterpreted text to land you in a heap of trouble with a friend, significant other, or colleague. Even serial texters aren’t immune — studies show that most recipients fail to tell the difference between sarcasm and seriousness about 44 percent of the time.<p>That’s why Es Lee, …

Machine Learning

Dia Imaging Analysis raises $5 million for AI that analyzes ultrasound scans

Ultrasound scanners are good for more than just in-the-womb snapshots of soon-to-be-born babies. Their high-frequency waves’ ability to penetrate the skin and capture soft tissue structures make them ideal for noninvasive imaging of the gallbladder, kidney, pancreas, and liver diseases, and for …

Medical Technology

Google AI on Raspberry Pi: Now you get official TensorFlow support

Google's TensorFlow team makes it a whole lot easier to get AI up and running on a Raspberry Pi.<p><i>Video: How to set up your Raspberry Pi 3 Model …

Raspberry Pi

How 3 developers used Core ML to run AI models on an iPhone

Apple’s first iPhone launched in 2007, decades after the concept of machine learning — a subset of artificial intelligence (AI) that employs mathematical techniques that “teach” software to make sense of complicated datasets — rose to prominence. But it was only recently that the two collided.<p>Apple …

Machine Learning

Raspberry Pi and machine learning: How to get started

A guide to how to experiment with machine learning on the $35 board.<p>If you want to dabble with machine learning on the $35 Raspberry Pi you've never …

Machine Learning

How Google decides to open source its technology

Google has a solid reputation as an engineering organisation with an open source culture, with Googlers contributing a huge amount of code back to …

Red Hat

Tutorial to set up TensorFlow Object Detection API on the Raspberry Pi

Introduction<p>This guide provides step-by-step instructions for how to set up TensorFlow’s Object Detection API on the Raspberry Pi. By following the …

Raspberry Pi

What’s the Difference Between Haar-Feature Classifiers and Convolutional Neural Networks?

Exemplified with an emotion recognition model!I see it all the time: “Haar-feature based cascade classifiers”, “Haar-like features first proposed by …

Deep Learning

Dijkstra's Algorithm in Swift

Last week we’ve talked about edge weighted digraphs in swift. This week we’ll talk about a famous algorithm that’s using that data structure. …

Algorithms

How To Get Started In Machine Learning And Robotics

"It's very easy to get intimidated," says Hamayal Choudhry, the robotics engineer who co-created the smartARM, a robotic hand prosthetic that uses a …

Machine Learning

Make “Fairness by Design” Part of Machine Learning

Machine learning is increasingly being used to predict individuals’ attitudes, behaviors, and preferences across an array of applications — from personalized marketing to precision medicine. Unsurprisingly, given the speed of change and ever-increasing complexity, there have been several recent …

Machine Learning

SciPy Tutorial: Linear Algebra

If you want to read why you should learn linear algebra or SciPy for data science or which NumPy functions are useful when you’re working with SciPy, …

Data Science

These are the best books for learning modern statistics—and they’re all free

Statistics came well before computers. It would be very different if it were the other way around.<p>The stats most people learn in high school or college come from the time when computations were done with pen and paper. “Statistics were constrained by the computational technology available at the …

Machine Learning

Essential Tips and Tricks for Starting Machine Learning with Python

We describe some essential hacks and tricks for practicing machine learning with Python. Covers most important libraries, and the overall approach.

Machine Learning