Machine Learning

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

featured tutorialHow 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 u...

Alvin Wan • Published on June 26, 2020 · Updated on July 30, 2020

featured tutorialPython Machine Learning Projects — A DigitalOcean eBook
A free, open, eBook to learn more about machine learning in Python through completing programming projects. Project-b...

Lisa Tagliaferri, and Brian Boucheron • Published on May 2, 2019

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    • 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...
      23 days agoBy Lisa TagliaferriMachine LearningDevelopmentConceptual
    • Question

      A question related to the tutorial of How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow

      Firstly thanks for the tutorial and explanation of How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow.This is more related to the coding part which i was trying from the tutori...
      1 answer2 months agoBy HappyDarkBlueWalrusMachine Learning
    • Tutorial

      How To Install the Anaconda Python Distribution on Ubuntu 22.04

      This tutorial will guide you through installing the Python 3 version of Anaconda on an Ubuntu 22.04 server. Anaconda is an open-source package manager, environment manager, and distribution of the Python and R program...
      2 months agoBy Lisa Tagliaferri, Tony TranData AnalysisDevelopmentMachine LearningPythonUbuntu 22.04
    • 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...
      3 months agoBy Derrick MwitiPythonMachine LearningDevelopment
    • 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 r...
      3 months agoBy Jeremy MorrisPythonDevelopmentProgramming ProjectMachine LearningUbuntu 16.04
    • 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...
      3 months agoBy Lisa TagliaferriPythonData AnalysisDevelopmentMachine LearningUbuntu 20.04
    • 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...
      5 months agoBy Thomas VincentPythonPython FrameworksMachine LearningProgramming ProjectDevelopmentUbuntu 20.04
    • Question

      Mobile app development company

      Portraying the Silver Lining of Enterprise and Consumer-End Mobile Apps
      1 answer6 months agoBy startelelogic126APIMachine Learning
    • Tutorial

      Coding for Beginners: Tutorials to Help New Developers

      Do you want to learn more technical skills but don’t know where to start? Explore our range of beginner-friendly tutorials to build your skills and launch your next project.
      10 months agoBy Erin GlassJavaScriptPythonCloud ComputingHTMLCSSWordPressMachine Learning
    • Tutorial

      How To Deploy a Pre-Trained Question and Answer TensorFlow.js Model on App Platform

      TensorFlow.js is TensorFlow’s JavaScript Library for training, executing, and deploying machine learning models in a web browser. In this tutorial, you’ll create a web app that uses a passage to answer a question, and...
      10 months agoBy Juan De Dios Santos RiveraMachine Learning
    • 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...
      11 months agoBy Ellie BirbeckPythonProgramming ProjectMachine LearningDevelopment
    • Question

      Best way to deploy react/django web app on digital ocean

      I am building web application with django as a backend and reactJS as a frontend. I need to know which hosting solution works best for me ?What I am looking for: I need to store a lot of images so I need a lot of disk...
      1 answer1 year agoBy haiderabbas1982000DjangoReactDigitalOceanDeploymentPythonMachine LearningSQLiteStorage
    • Tutorial

      How To Install and Use PyTorch

      In this tutorial, you’ll install PyTorch’s “CPU support only” version in three steps. This installation is ideal for people looking to install and use PyTorch but who don’t have an Nvidia graphics card. In particular,...
      1 year agoBy Alvin WanPythonMachine LearningPython Frameworks
    • Tutorial

      Introduction to PyTorch: Build a Neural Network to Recognize Handwritten Digits

      In this tutorial, you will focus on one specific task called object recognition, or image classification. Given an image of a handwritten digit, your model will predict which digit is shown.You will build, train, and ...
      1 year agoBy Alvin WanPythonMachine LearningData Analysis
    • Tutorial

      How To Visualize and Interpret Neural Networks in Python

      Neural networks achieve state-of-the-art accuracy in many fields such as computer vision, natural-language processing, and reinforcement learning. In this tutorial, you’ll specifically explore two types of explanation...
      2 years agoBy Alvin WanPythonMachine Learning
    • 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...
      2 years agoBy Lily RaeJavaScriptMachine 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...
      No answers yet2 years agoBy ctoshpokhMachine Learning
    • 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...
      2 years agoBy Alvin WanPythonMachine LearningPython FrameworksDevelopment
    • 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...
      No answers yet2 years agoBy gmehta1996PythonMachine Learning
    • 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.
      2 years agoBy Lisa TagliaferriPythonMachine LearningData AnalysisDevelopment