Machine Learning

Machine learning is a subfield of artificial intelligence focused on understanding the structure of data.

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24 Results
  • Tutorial

    An Introduction to Machine Learning

    Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people...
    By Lisa Tagliaferri Machine Learning Development Conceptual
  • Tutorial

    How To Build a Neural Network to Recognize Handwritten Digits with TensorFlow

    Neural networks are used as a method of deep learning, one of the many subfields of artificial intelligence. They were first proposed around 70 years ago, as an attempt at simulating the way the human brain works, tho...
    By Ellie Birbeck Python Machine Learning Development Programming Project
  • Tutorial

    How To Build a Machine Learning Classifier in Python with Scikit-learn

    Machine learning is a research field in computer science, artificial intelligence, and statistics. The focus of machine learning is to train algorithms to learn patterns and make predictions from data. Machine learnin...
    By Michelle Morales Python Development Programming Project Data Analysis Machine Learning
  • Book

    Python Machine Learning Projects — A DigitalOcean eBook

    A free, open, eBook to learn more about machine learning in Python through completing programming projects. Project-based learning offers the opportunity to gain hands-on experience by digging into complex, real-world...
    By Lisa Tagliaferri, Brian Boucheron Python Machine Learning Development DigitalOcean Books
  • Tutorial

    How To Install the Anaconda Python Distribution on Ubuntu 20.04

    This tutorial will guide you through installing the Python 3 version of Anaconda on an Ubuntu 20.04 server. Anaconda is an open-source package manager, environment manager, and distribution of the Python and R program...
    By Lisa Tagliaferri Python Development Data Analysis Machine Learning Ubuntu 20.04
  • Tutorial

    How To Trick a Neural Network in Python 3

    In this tutorial, you will try "fooling" or tricking an animal classifier. As you work through the tutorial, you'll use OpenCV, a computer-vision library, and PyTorch, a deep learning library. By the end of the tutori...
    By Alvin Wan Machine Learning Python Python Frameworks Development
  • Tutorial

    How To Install TensorFlow on Ubuntu 20.04

    An open-source machine learning software library, TensorFlow is used to train neural networks. Follow this tutorial to install TensorFlow in a Python virtual programming environment.
    By Lisa Tagliaferri Machine Learning Data Analysis Python Development
  • Tutorial

    How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow

    Keras is a neural network API that is written in Python. TensorFlow is an open-source software library for machine learning. In this tutorial, you'll build a deep learning model that will predict the probability of an...
    By Derrick Mwiti Machine Learning Python Development
  • Tutorial

    How To Install and Use TensorFlow on Ubuntu 16.04

    TensorFlow is an open-source machine learning software built by Google to train neural networks. In this tutorial, you'll install TensorFlow in a Python virtual environment. You'll then validate your installation by ...
    By Jeremy Morris Development Programming Project Python Machine Learning Ubuntu 16.04
  • Tutorial

    An Introduction to Computer Vision in JavaScript using OpenCV.js

    OpenCV is a powerful library used for image processing and image recognition. It was first built in C++ but has been made available in JavaScript as OpenCV.js, which is what we'll be using for this tutorial. In this p...
    By Lily Rae JavaScript Machine Learning
  • Tutorial

    How To Build a Neural Network to Translate Sign Language into English

    In this tutorial, you'll use computer vision to build a sign language translator for your webcam. As you work through the tutorial, you’ll use OpenCV, a computer-vision library, PyTorch to build a deep neural network,...
    By Alvin Wan Python Machine Learning Development
  • Tutorial

    How To Install and Use TensorFlow on Ubuntu 18.04

    TensorFlow is open-source machine learning software used to train neural networks.TensorFlow's neural networks are expressed in the form of stateful dataflow graphs. Each node in the graph...
    By Lisa Tagliaferri, Jeremy Morris Python Development Machine Learning Data Analysis Ubuntu 18.04
  • Tutorial

    Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym

    Reinforcement learning is a subfield within control theory, which concerns controlling systems that change over time and broadly includes applications such as self-driving cars, robotics, and bots for games. Throughou...
    By Alvin Wan Machine Learning Python Programming Project Development Ubuntu Ubuntu 16.04
  • Tutorial

    How To Use the Machine Learning One-Click Install Image on DigitalOcean

    ARCHIVED: This Machine Learning One-Click Application image includes a rich set of tools for data pre-processing, analysis, and visualization, as well as several state of the art libraries to help you get started with...
    By Thomas Vincent Data Analysis One-Click Install Apps Machine Learning Python DigitalOcean R Ubuntu Ubuntu 16.04
  • Tutorial

    How To Perform Neural Style Transfer with Python 3 and PyTorch

    Machine learning, or ML, is a subfield of AI focused on algorithms that learn models from data. In this tutorial, you will apply neural style transfer using Jupyter Notebook and the Linux command line to take an image...
    By Thomas Vincent Python Python Frameworks Machine Learning Programming Project Development Ubuntu 16.04
  • Tutorial

    How To Apply Computer Vision to Build an Emotion-Based Dog Filter in Python 3

    In this tutorial, you will explore computer vision as you use pre-trained models to build a Snapchat-esque dog filter and apply masks based on whether you're happy or sad.
    By Alvin Wan Python Machine Learning Development
  • Question

    Is using Digital Ocean for Machine Learning against its Usage Terms ?

    I want to create a high performance droplet to use for Machine Learning. The droplet will probably keep running at 100% CPU for a couple of days. I want to know if this is ok ? I have read that a lot of people were co...
    Accepted Answer: Greetings! As long as you're using our CPU Optimized droplets, this is completely fine and actually one of the use cases we were thinking of when we deployed them. Jarland
    2 By SamyDo Machine Learning
  • Question

    How do I load locally stored tweets instead of using from nltk.corpus import twitter_samples.

    Every example I have seen on the internet about sentiment analysis uses a pre-existing sample file imported from nltk.corpus but I already have multiple .db files for training. How would I use those and not import fro...
    0 By ctoshpokh Machine Learning
  • Question

    Why is Upload & Download Speed of Droplets so unreliable?

    I’m really just talking about the upload speeds I’ve encountered with their Droplets. I tested the upload/download speeds on multiple droplets in different datacenters around the world, and… I deem the speeds unreliab...
    0 By randguy Ubuntu Ubuntu 16.04 Debian API Databases Development Getting Started Machine Learning Programming Project
  • Question

    How do I add more than two sentiments in the twitter sentiment analysis?

    I tried the sentiment analysis with the positive and negative tweets but I want to add more sentiments to it like sarcasm or neutral. I tried to add 5000 neutral tweets and followed the same procedure like positive an...
    0 By gmehta1996 Python Machine Learning