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One of the main challenges in building multilingual machine learning models is collecting enough relevant data. To help, we at Lionbridge have compiled a list of the best publicly available Chinese language datasets. These datasets cover a wide range of use cases, from handwritten data for Chinese OCR to labeled text data for sentiment analysis. If you missed our previous language dataset compilations, be sure to check out our other dataset articles. Without further ado, here are the best Chinese data sources for machine learning projects.

Turning Data to Actionable Insights with Artificial Intelligence, Analytics & Big Data For more visit: https://www.acldigital.com/offerings/ai-analytics-and-big-data

Kaggle has been quite a popular platform to showcase your skills and submit your algorithms in the form of kernels. This was more than enough for Google to understand its further potential and purchase it in 2017 with a goal of awarding data scientists or data analysts with cash prizes and medals to encourage others to participate and code. For many, it was a breath of fresh air and for others, it was an opportunity to optimize their kernels as resubmission was allowed. A lot of companies are organizing hackathons on Kaggle to find the perfect candidate for various data science openings.

Well if you are new to Kaggle, then this is the ideal guide for you to get started with its kernels and other aspects. Let's tackle this step by step.

Future advancement in machine learning and deep learning technologies will only add to the scope of anomaly detection techniques and its value to business data. The increasing volume and complexity of data translates to major opportunities in harnessing this information for business success.

Medical Chat: Medical chatbot for professionals and patients (medical.chat-data.com).

Pandachat: Understand any data instantly using Artificial Intelligence (pandachat.ai).

Rows Artificial Intelligence: Your personal Data Analyst (rows.com).

Browse Artificial Intelligence: Train a robot to extract & monitor data from any website, no coding needed (browse.ai).

Iris.ai: Smart search & filters, auto-summaries, data extraction & systematizing (iris.ai).

Nuclia: Nuclia indexes unstructured data from any source (nuclia.com).

iAsk.AI: Artificial Intelligence search engine that focuses on objectivity, factual data, and reduced bias (iask.ai).

Nanonets: Automate data entry using AI-based OCR platform (nanonets.com).

Channel: Automate data exploration with natural language questions (usechannel.com).

STORYD: A tool for data presentations (storyd.ai).

Dante Artificial Intelligence: Custom GPT chatbots trained on your data (dante-ai.com).

Outerbase: A user-friendly database interface to explore data (outerbase.com).

Graphy HQ: Analyze data, charts, and graphs with the help of AI-generated insights (graphy.app).

ChatSite By Databerry: Connect your data to ChatGPT in seconds. There is no need for coding! (databerry.ai).

Baseplate: Stores and manages data backend for apps (baseplate.ai).

Marvin: Structured data processed for software development (askmarvin.ai).