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Machine learning tutorials, posts, and more

I built a chatbot in 2 hours and this is what I learned

One man's journey into discovering the realm of the chatbot.

How to Imitate Trump With Markov Chains

Have you ever wanted to sound presidential? Today, we’ll learn how Markov chains can help us do that. We’ll be using data from many of Donald J Trump’s speeches to help our progr am speak like him....
How to Imitate Trump With Markov Chains

Autonomous Cars and Artificial Intelligence (AI)

This article gives a high level introduction to how autonomous cars work and how artificial intelligence is being used to empower the self-driving car industry.
Autonomous Cars and Artificial Intelligence (AI)

How I plan to become a machine learning engineer

My machine learning study plan repo as 15k+ stars. This is why I decided to create it.
How I plan to become a machine learning engineer

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?

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 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

Classifying Traffic Signs

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

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 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

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

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

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

How To Install Tensorflow On Windows

Learn how to Install TensorFlow on Windows on a non networked machine.

Understanding CNN (Part 2)

This is the continuation of Part-1 of this series. if you are just started in the subject please review the Part-1 (http://amitkushwaha.co.in/understanding-cnn.html) of this series. Training...
Understanding CNN (Part 2)

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"

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

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

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

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