Machine learning Tutorials and Insights

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Machine learning tutorials, posts, and more

Is Google Tensorflow Object Detection API the easiest way to implement image recognition?

Google Tensorflow Object Detection API
Is Google Tensorflow Object Detection API the easiest way to implement image recognition?

Classifying Traffic Signs

Using TensorFlow I train a Convolutional Neural Network to classify traffic signs with 95% accuracy.
Classifying Traffic Signs

Vehicle Detection Using Cameras for Self-Driving Cars

Using machine learning and computer vision I create a pipeline that detects nearby vehicles from a dash-cam.
Vehicle Detection Using Cameras for Self-Driving Cars

Advanced Lane-Detection for Self-Driving Cars

I use computer vision and machine learning to identify road lanes from a vehicle's dash-cam.
Advanced Lane-Detection for Self-Driving Cars

Linear Models with SparkR 1.5: Uses and Present Limitations

In this analysis we will use SparkR machine learning capabilities in order to try to predict property value in relation to other variables present in the 2013 American Community Survey dataset.
Linear Models with SparkR 1.5: Uses and Present Limitations

How Self-Driving Cars "See"

The world through the eyes of a self-driving car: Visualizing which part of an image a neural network uses to recognize traffic lights
How Self-Driving Cars "See"

Data Science with Python & R: Sentiment Classification Using Linear Methods

In this tutorial, you'll learn how to create sentiment classification using linear methods with Python and R
Data Science with Python & R: Sentiment Classification Using Linear Methods

Building Data Products with Python: Using Machine Learning to Provide Recommendations

This is the third part of our tutorial on how to build a web-based wine review and recommendation system using Python technologies such as Django, Pandas, SciPy, and Scikit-learn. In this part, you will learn how to use machine-learning to recommend users wines based on their preferences.
Building Data Products with Python: Using Machine Learning to Provide Recommendations

An Introduction to Python Machine Learning with Perceptrons

This article will guide you through creating a perceptron in Python without any advanced mathematical theory, and in less than 60 lines of code.
An Introduction to Python Machine Learning with Perceptrons

Using Deep Learning to Recognize Traffic Lights

How I learned deep learning in 10 weeks and won $5,000
Using Deep Learning to Recognize Traffic Lights

How to Use Tefla: Simple Deep Learning Wrapper for Tensorflow

Tefla is an effective deep learning framework and wrapper on Tensorflow. Read this blog and learn how you can use Tefla.
How to Use Tefla: Simple Deep Learning Wrapper for Tensorflow

Learning AI if You Suck at Math — P7 — The Magic of Natural Language Processing

Here's an intro to Natural Language Processing!
Learning AI if You Suck at Math — P7 — The Magic of Natural Language Processing

The Building Blocks of AI

Machine Learning is built on prerequisites, so here's how statistics, calculus, and linear algebra make the magic happen.
The Building Blocks of AI

How I'm Learning "Machine Learning"

I'm taking Andrew Ng's ML class on Coursera, listening to some podcasts, and reading the Inside AI newsletter.
How I'm Learning "Machine Learning"

UC Berkeley Machine Learning Crash Course: Part 1

Learn all the basics of machine learning — regression, cost functions, and gradient descent. This is the first article in Machine Learning at Berkeley's Crash Course series.
UC Berkeley Machine Learning Crash Course: Part 1

End-to-End Self-Driving Car Using Behavioral Cloning

Using a behavioral cloning deep learning model in Keras, I teach a car to drive around a track in a simulator.
End-to-End Self-Driving Car Using Behavioral Cloning

How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 1

Read how I built a machine learning app, and how to make your own reverse image search. For this demo, the work is ⅓ data munging/setup, ⅓ model development and ⅓ app development.
How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 1

How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 2

For this post, I’m going to dive into model development. I’m using an autoencoder model with 6 encoding and 6 decoding layers.
How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 2

Predicting the stock market via Numeria datasets

I will be sharing my first code experience on an AI competition. I tried my basic machine learning skills on Numerai. Github source code: https://github.com/andela-ysanni/numer.ai According to their c...
Predicting the stock market via Numeria datasets

How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 3

This third part of these posts focuses on app development for my machine learning and TensorFlow reverse image search.
How I Built a Reverse Image Search with Machine Learning and TensorFlow: Part 3

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