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

Bypassing the Safety Training of Open-Source LLMs with Priming Attacks 10 hours ago | arxiv.org

arxiv attacks cs.ai cs.cl +7

Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data 10 hours ago | arxiv.org

abstract analysis and analysis arxiv +12

Differentially private projection-depth-based medians 10 hours ago | arxiv.org

abstract arxiv cost cs.cr +19

Unified Binary and Multiclass Margin-Based Classification 10 hours ago | arxiv.org

abstract algorithms analysis and analysis +15

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits 10 hours ago | arxiv.org

abstract arxiv causal causal inference +12

Convergence of flow-based generative models via proximal gradient descent in Wasserstein space 10 hours ago | arxiv.org

abstract advantages analysis arxiv +23

Identifying the Risks of LM Agents with an LM-Emulated Sandbox 10 hours ago | arxiv.org

abstract advances agents amplify +22

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs 10 hours ago | arxiv.org

arxiv cs.ai cs.cl cs.lg +6

Robust Online Learning over Networks 10 hours ago | arxiv.org

abstract agent agents arxiv +25

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

View on ai-jobs.net

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

View on ai-jobs.net

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

View on ai-jobs.net

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

View on ai-jobs.net

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

View on ai-jobs.net

Lead Developer (AI)

@ Cere Network | San Francisco, US

View on ai-jobs.net