Data Science Blogathon - 36

• The content of your article(s) shall be unique and not published anywhere else.
• Each article will be strictly checked for plagiarism, paraphrasing, and spun.
• The article must have 1000 words, failing which they will be rejected.
• You are free to make as many submissions as you want. But don’t make multiple submissions of the same article.
• All the image sources and article references shall be cited at the end of the submission.
• The submissions will close on September 30th, 2023, 23:59 IST (GMT +5:30 hrs)
• You are not allowed to re-publish any of your articles elsewhere.
• We monitor the traffic on each article regularly. Analytics Vidhya holds the right to remove all suspicious traffic.
• Analytics Vidhya has the right to disqualify/reject any submission.
• The decision for all the awards, as declared by Analytics Vidhya, would be final.
• While submitting article the author agrees to take the responsibility and liability of taking due permissions from the respective sources from where they are taking the illustrations(data, tables, figures) which are propriety or not free to use or belonging to some other publication (any scientific journal, paper or article) elsewhere. 
• Analytics Vidhya under no circumstances will be held responsible for unauthorized usage of content (parts of your article, illustrations, tables, charts) copied from other sources. The article will be taken down if any claim about any content in your article is made, by the authentic sources and the claim is found to be reasonable.
• Theoretical articles on any topics will not be accepted. We are only accepting articles that are technical in nature/ application-based/code-based  that have a proper explanation.
• Please add FAQ section (5 questions) after the conclusion and key takeaways section at the end of your article. Please check this article for FAQ format and reference: https://www.analyticsvidhya.com/blog/2023/05/future-of-ai-with-gans/.

What are the Prizes on Offer?

Base Price

Choose the Data Science content you want to create and win for each published article.

*Special Topics: Langchain, Finetuning, Diffusion Models, LLAMAINDEX, Vector Database, Prompt engineering, LORA, Large Language Models, Model Quantisation, BITS AND BYTES, QLORA, TRANSFORMER, ENCODER, DECODER, BERT, GAN, PEFT, RAG ( Retrival Augmented Generation), Chatgpt Plugins, LLMOPs, RLHF, Multimodal, LLAMA, Palm 2, GPT 4

 

Article Topics to be Rejected

• Regression: Linear/Logistic/General 
• LSTMs
• K- Means
• Clustering
• Introduction to Machine Learning
• Cloud Computing Basics/Introduction/Overview
• Data Science Basics/History/Facts/Interview Questions
• Basics of NLP 
• Basics/ Introductory articles on Blockchain

Note: Please add FAQ section (5 questions) after the conclusion and key takeaways section at the end of your article. Please check this article for FAQ format and reference: https://www.analyticsvidhya.com/blog/2023/05/future-of-ai-with-gans/.

Guides: One-Stop Resource on Specific Topics

As mentioned above, we continue to publish "Guides". Guides are intended to be a one-stop resource on specific topics in Data Engineering, Machine Learning and related topics. Since we receive multiple entries for Guides, only one Guide per topic will be published.

Here is an example of a Guide: K Means Clustering | K Means Clustering Algorithm in Python

Feel free to explore any topic of your choice though - the only restriction is that it should be as comprehensive as possible and should be of a minimum of 2500 words in length. It should also be on a topic in the domain of Machine Learning, Deep Learning, Data Engineering, etc.

Rewards Based on Views: Bonus Rewards

Winners Prize

• The top 3 Articles will be judged based on the number of unique pageviews.

• The top 3 Guides will be judged by the editorial team

In case you have any queries or concerns, reach out to us at [email protected]