Data Science Blogathon - 46

Submission Rules:

1. The submissions will close on July 31st, 2024, 23:59 IST (GMT +5:30 hrs)
2. You are free to make as many submissions as you want. But don’t make multiple submissions of the same article.
3. You are not allowed to re-publish any of your articles elsewhere.
4. We monitor the traffic on each article regularly. Analytics Vidhya holds the right to remove all suspicious traffic.
5. Analytics Vidhya has the right to disqualify/reject any submission.
6. The decision for all the awards, as declared by Analytics Vidhya, would be final.
7. While submitting an 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. 
8. 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.

Author Guidelines:

• Word Limit: 1000+ words
• Content Quality: Each article will be strictly checked for plagiarism, spun and AI generated content.
• Topic: Should be unique and add value to the community
• Content: Focus on practical applications, including use cases and code examples, and avoid overly theoretical content
• Citations: Cite all image sources and article references at the end of your submission
• Editor Walkthrough: https://lekhak.analyticsvidhya.com/FAQs

Article Structure:

1. Introduction
2. Learning Objectives(3-5)
3. Article Body
4. Conclusion
5. Key Takeaways(3-5)
6. FAQs(3-5)

For an example, refer to: A Complete Guide to Using Cohere AI

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*: 

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
• Basic article on Generative AI
• Basic article on llm
• Basic article on Gemini, Chatgpt, llama, langchain, open ai.
• Basic articles on ETL pipelines

 
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 Machine Learning, Deep learning, Generative AI and related topics. Since we receive multiple entries for Guides, only one Guide per topic will be published.

Note: The final consideration of a guide is an editorial decision which is based on how unique your guide's topic is and how comprehensively you have explained all components of that topic.

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 and Generative AI.

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]

The 46th edition of the Data Science Blogathon has concluded, and we are delighted to announce the winners, category-wise.

List of Winners by the Views Category:

1. Ketan: Comprehensive Guide to Build AI Agents from Scratch
2. Ajay: Tool-Calling with Llama 3.1: Integrating Real-Time Data in Open-Source Models
3. Gourav: Building a Responsive Chatbot with Llama 3.1, Ollama and LangChain

List of Winners in the Guides Category:

1. Akash: Ultimate LangSmith Guide
2. Ritika: A Guide to Reflection Agents Using LlamaIndex