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The Kaggle Book - 2nd Edition (Early Release)

Posted By: GFX_MAN

Date: 27 Jun 2025 15:03:37

The Kaggle Book - 2nd Edition (Early Release)

Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. This new edition includes updated content and new chapters on Kaggle Models, time series, generative AI competitions.

Data science Programming

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Large Language Models Projects: Apply and Implement Strategies for Large Language Models

Posted By: GFX_MAN

Date: 19 Sep 2024 13:31:18

This book offers you a hands-on experience using models from OpenAI and the Hugging Face library. You will use various tools and work on small projects, gradually applying the new knowledge you gain.

Data analysts Data science Python Development

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Large Language Models Projects: Apply and Implement Strategies for Large Language Models

Posted By: GFX_MAN

Date: 18 Sep 2024 15:48:04

Large Language Models Projects: Apply and Implement Strategies for Large Language Models
English | 2024 | ISBN: 303168026X | 356 pages | PDF | 9.42 MB

This book offers you a hands-on experience using models from OpenAI and the Hugging Face library. You will use various tools and work on small projects, gradually applying the new knowledge you gain.

Data analysts Data science Python Development

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Python Programming Mastery: From Beginner To Expert

Posted By: Sigha

Date: 1 Sep 2024 16:28:49

Python Programming Mastery: From Beginner To Expert
Last updated 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 21.03 GB | Duration: 63h 24m

Unlock the Full Potential of Python with Comprehensive Hands-On Training! Regex, Json, Data science, Flet and more

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"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

Posted By: exLib

Date: 31 Jan 2024 23:59:42

"Bayesian Inference: Recent Trends" ed. by İhsan Bucak
ITexLi | 2024 | ISBN: 1837693552 9781837693559 1837693560 9781837693566 1837693579 9781837693573 | 78 pages | PDF | 6 MB

This book is an invaluable resource for anyone interested in the intersection of statistics, machine learning, and data science. It offers a unique perspective on Bayesian inference, revealing its potential to provide robust solutions in an increasingly data-driven world. The book is your gateway to understanding and leveraging the power of Bayesian methods in the ever-evolving landscape of data analysis.

Science Mathematics Probability Inverse Problems Statistical analysis Physics Computer Engineering Statistics Measurements Bayesian Methods Bayesian Inference Robust Data science AI Machine learning Causality analysis Finance Construction Education

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Sustainable Statistical and Data Science Methods and Practices

Posted By: AvaxGenius

Date: 7 Jan 2024 00:49:37

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.

Statistical analysis Data science Science Data Structures Information Theory Artificial Intelligence Data Mining Statistics Mathematics Technology Engineering

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AI & Data Literacy: Empowering Citizens of Data Science

Posted By: yoyoloit

Date: 11 Dec 2023 00:36:28

Data science

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"Computational Semantics" ed. by George Dekoulis, Jainath Yadav

Posted By: exLib

Date: 1 Dec 2023 00:00:00

"Computational Semantics" ed. by George Dekoulis, Jainath Yadav
ITexLi | 2023 | ISBN: 1837684669 9781837684663 1837684650 9781837684656 1837684677 9781837684670 | 139 pages | PDF | 14 MB

This book analyzes the application of computer science and artificial intelligence (AI) techniques in the semantics’ analysis for linguistics, classical studies, and philosophy. Similar techniques can be implemented to incorporate the fields of education, psychology, humanities, law, maritime, data science and business intelligence. The book is suitable for the broader audience interested in the emerging scientific field of formal and Natural Language Processing (NLP).

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"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang

Posted By: exLib

Date: 31 Jan 2023 23:59:50

"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang
ITexLi | 2022 | ISBN: 1803560452 9781803560458 1803560444 9781803560441 1803560460 9781803560465 | 109 pages | PDF | 8 MB

This book introduces recent developments in Bayesian inference, and covers a variety of topics including robust Bayesian estimation, solving inverse problems via Bayesian theories, hierarchical Bayesian inference, and its applications for scattering experiments. The book will stimulate more extensive research on Bayesian fronts to include theories, methods, computational algorithms and applications in various fields such as data science, AI, machine learning, and causality analysis.

Science Mathematics Probability Inverse Problems Statistical analysis Physics Computer Engineering Statistics Measurements Bayesian Methods Bayesian Inference Robust Data science AI Machine learning

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Effective Data Science Infrastructure: How to Make Data Scientists Productive (Final Release)

Posted By: yoyoloit

Date: 5 Jul 2022 08:13:30

Effective Data Science Infrastructure: How to Make Data Scientists Productive (Final Release)

Data science Programming

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Reproducible Data Science with Pachyderm: Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0

Posted By: yoyoloit

Date: 22 Mar 2022 08:18:25

Data science

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Secure Data Science: Integrating Cyber Security and Data Science

Posted By: yoyoloit

Date: 13 Mar 2022 07:59:19

Secure Data Science: Integrating Cyber Security and Data Science

computing Data science

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Deep Learning Fundamentals | Theory & Practice with Python

Posted By: lucky_aut

Date: 6 Jan 2022 11:10:10

Complete Deep Learning Course to Master Data science, Tensorflow, Artificial Intelligence, and Neural Networks

eLearning Video Udemy Development Data Science Deep Learning Data science Tensorflow Artificial Intelligence Neural Networks

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R for Cloud Computing: An Approach for Data Scientists

Posted By: AvaxGenius

Date: 13 Aug 2021 11:34:31

R for Cloud Computing: An Approach for Data Scientists by A Ohri
English | PDF | 2014 | 281 Pages | ISBN : 1493917013 | 14.3 MB

R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort, cost and maximum usefulness and customization.

Science Mathematics R Cloud Computing Data science Data Science

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30-Second Data Science

Posted By: hill0

Date: 25 Feb 2021 10:20:14

30-Second Data Science
by Liberty Vittert
English | 2020 | ISBN: 1782408924 | 163 Pages | PDF | 20 MB

Development Data science Programming

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