Data Science Approach to predict the winning Fantasy Cricket Team Dream 11 Fantasy Sports. (arXiv:2209.06999v1 [cs.LG]) | allainews.com

Sept. 16, 2022, 1:11 a.m. | Sachin Kumar S, Prithvi HV, C Nandini

cs.LG updates on arXiv.org arxiv.org

The evolution of digital technology and the increasing popularity of sports
inspired the innovators to take the experience of users with a proclivity
towards sports to a whole new different level, by introducing Fantasy Sports
Platforms FSPs. The application of Data Science and Analytics is Ubiquitous in
the Modern World. Data Science and Analytics open doors to gain a deeper
understanding and help in the decision making process. We firmly believed that
we could adopt Data Science to predict the …

arxiv cricket data data science science sports team

More from arxiv.org / cs.LG updates on arXiv.org

LangProp: A code optimization framework using Large Language Models applied to driving 12 hours ago | arxiv.org

arxiv code cs.ai cs.lg +10

MRI Scan Synthesis Methods based on Clustering and Pix2Pix 12 hours ago | arxiv.org

abstract arxiv automated brain +16

Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters 12 hours ago | arxiv.org

abstract arxiv concept concepts +21

Improving Interpretation Faithfulness for Vision Transformers 12 hours ago | arxiv.org

abstract adversarial adversarial attacks architectures +21

Training robust and generalizable quantum models 12 hours ago | arxiv.org

abstract adversarial arxiv context +15

Causal Discovery Under Local Privacy 12 hours ago | arxiv.org

abstract application arxiv causal +19

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks 12 hours ago | arxiv.org

abstract act arxiv concepts +13

It's About Time: Temporal References in Emergent Communication 12 hours ago | arxiv.org

abstract agents arxiv autonomous +21

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning 12 hours ago | arxiv.org

arxiv cs.lg cs.ro reinforcement +3

Founding AI Engineer, Agents

@ Occam AI | New York

View on ai-jobs.net

AI Engineer Intern, Agents

@ Occam AI | US

View on ai-jobs.net

AI Research Scientist

@ Vara | Berlin, Germany and Remote

View on ai-jobs.net

Data Architect

@ University of Texas at Austin | Austin, TX

View on ai-jobs.net

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

View on ai-jobs.net

Data Engineer

@ Kaseya | Bengaluru, Karnataka, India

View on ai-jobs.net