Praxis Tech School &#038; MachineHack to Kickoff the &#8216;Data Science Student Championship 2024&#8217;
AI developers’ go-to platform, MachineHack, and Praxis Tech School are collectively calling upon the bright minds of engineering colleges and universities to participate in the 3rd edition of ‘Data Science Student Championship’. Marking its third consecutive year, this collaboration invites students pursuing undergraduate or postgraduate degrees from academic institutions across India to engage in the hackathon. The two-month-long spectacle, starting on February 29, 2024, and concluding on April 25, 2024, promises the participants an exceptional platform to showcase their data science and problem analysis skills. This data contest serves as a golden opportunity for students and academic researchers in various STEM fields to captivate the attention of premier firms. It’s the stage to unveil their capabilities, innovate, and make a mark for themselves in data science. Start Date: 29th February 2024 End Date: 25th April 2024 Click here to register About Data Science Student Championship In the opening round, participants will have to dig deep into the dataset, dissect it, and devise ingenious solutions. They will submit their solutions through the MachineHack platform. Fast forward to April, the cream of the crop, the top 10 contenders from the leaderboard, will assemble for the Jury Round. During the Final Jury Round, they will lay out their high-stakes final solutions before a panel of experts and leaders from the data science industry. The top three contestants/teams with the slickest solutions will be announced winners of the Data Science Student Championship 2024 and receive cash awards along with the prestigious title of ‘Data Science Student Champion 2024’. The contenders who make it to the jury round won’t walk away empty-handed, either. They will receive certificates of commendation, propping up their exceptional work and dedication to data science. Problem Statement Develop a language model that surpasses existing methods in accurately and efficiently classifying patents. This model should: Leverage cutting-edge NLP techniques: Employ techniques like transformer models, named entity recognition, and relation extraction to understand the nuances of patent text and capture key technical aspects. Handle diverse content: Accurately classify patents across various domains and technical fields, even those with limited training data or unconventional language styles. Reason and adapt: Go beyond mere keyword matching and learn to reason about the relationships between concepts and technical elements within patents to achieve improved classification accuracy. Data Dictionary: Abstract (35k rows): A summary of the patent. Label (9 classes): The patent classification according to the European Patent Office (EPO) classification scheme. (Physics, Human Necessities, Electricity, Chemistry, Metallurgy, etc). Evaluation & Prizes The submissions will be assessed based on the Accuracy metric, ensuring a fair evaluation process. A total of ₹50,000 is up for grabs, and the top 3 winners are going snag a piece of it, like this: First place: ₹25,000 Second place: ₹15,000 Third place: ₹10,000 To ensure your eligibility for the prizes, it is essential that you keep your MachineHack profile updated with all the relevant details. We strongly recommend reviewing the ‘Rules’ section before participating in the competition. Please note that the prize money will be awarded to participants only if they are selected by Analytics India Magazine and Praxis Tech School in the hackathon. Start Date: 29th February 2024 End Date: 25th April 2024 Click here to register
The two-month-long spectacle, starting on February 29, 2024, and concluding on April 25, 2024, promises the participants an exceptional platform to showcase their data science and problem analysis skills.
The two-month-long spectacle, starting on February 29, 2024, and concluding on April 25, 2024, promises the participants an exceptional platform to showcase their data science and problem analysis skills.
["data science student championship", "machinehack praxis hackathon", "Praxis hackathon"]
["data science", "Go", "programming_languages:R", "AI", "RPA", "data science student championship", "RAG", "machinehack praxis hackathon", "NLP", "ViT", "analytics", "Praxis hackathon", "R"]
["AI", "NLP", "data science", "analytics", "RAG", "R", "Go", "ViT", "RPA", "programming_languages:R"]
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.