Posts in category: Tutorials

Use AI to Build AI OneClick.ai is the first deep learning platform that assumes no knowledge of AI from its users. By automating every step of the AI development cycle, OneClick.ai is making AI more accessible to businesses all over the world, regardless of their size or technical capability. The efficiency that comes along with the automated process has transformed how AI projects are planned and implemented in businesses. This AI revolution has encouraged a new breed of applications like we h ...

Forecasting is the process of using existing data to predict future outcomes. This data includes past data, a.k.a. “historical data,” along with any additional, context-specific variables, a.k.a. “dynamic factors.” Businesses can use forecasting to predict figures such as future sales or estimated foot traffic. Common applications include revenue projection, demand forecasting, and inventory optimization, to name a few. Our software has the capacity to support forecasting across multiple locat ...

Time series classification is an important branch in time series analysis. The sample is classified based on historical observation sequence signals. Many practical applications fall into this category. For example, detecting diseases by analyzing ECG or EEG sequences, human behavior recognition from wearable IoT sensory data, preventative maintenance on various hardware parts, such as automobile, aircraft, computer server, and factory machinery. This tutorial will guide you through steps to bu ...

OneClick.ai's deep learning vision is a new service that aims to make state of the art deep learning computer vision techniques accessible to non-technical users. In this post, I will show you how to build a custom image classifier in 30mins that is able to detect the symptom of diabetic retinopathy, an eye disease associated with long-standing diabetes, by processing photographs of the retina. You do not necessarily need to provide a lot of images like you would with ImageNet; instead, start wi ...

  https://youtu.be/c3a4OilFeAM Table of Contents Introduction Step 1: The Data Step 2: Creating a Task Step 3: Model Training and Testing Step 4: Review Models Step 5: Publishing the Model Introduction This tutorial illustrates how to use OneClick.ai to solve an everyday business problem. In this example, we use the “Dress Recommendation” data set from the UCI Archive, which we’ve slightly modified to fit the tutorial. A dress store is on a campaign to better manage their inventory, avoid ...

Classification is the most common type of AI task. It is effectively the action or process of classifying something according to its qualities or characteristics. Examples of classification tasks include: Archiving (grouping docs into predefined groups) Custom services (dispatching customer inquiries to different workflows) Customer profiling (categorizing user preferences, e.g. cuisine, music genres ) Disease diagnosis (profiling disease based on symptoms) Often there are only two po ...

Numeric prediction, also known as Regression, predicts a numeric output value using training data. It is effectively used to predict a continuous numeric value, like price or cost. In general, regression tasks are used to get information about certain aspects of a decision that will then inform a choice of action. An example of this is predicting the cost of a house, to then decide if it is worth buying. Examples: Regression is used in the creation of trend lines, which uses past data to pr ...

Data is an extremely important part of the AI training and modeling process. The quality and format of the data are directly linked to the quality and function of the model created. This article will cover: The syntax of data tables Which data types are supported Missing or non-existent data Rows vs Columns Most datasets are in the form of a data table, containing both rows and columns. This table is then represented as a CSV file to the AI. In CSV, each row is represented by a line of ...

Please view the OneClick Platform Walkthrough before reading this article. OneClick.ai supports the easy exporting of any model created through the use of our AI to your external API uses. This paper will go over how to export our models as an API. After the model training process, on the model review page, there is an option to enable API for each model. Upon clicking that button you can then select to activate or deactivate the API. Only one API can be active at any given time for trial a ...

General Questions How do I request technical support? Clicking the "Help" button at the top will open a service ticket. Please provide a description of your issue and support will be notified.  How do I use my model to make predictions on new data? https://www.youtube.com/watch?v=1E2vVvSXE3k After uploading your new dataset using the "Upload Data" button, click "Save data only" located on the data review window. Then in the chat window type @eva apply model (model ID) to (data ID) which wi ...