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The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz

(ebook) (audiobook) (audiobook) Język publikacji: angielski
The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz - okladka książki

The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz - okladka książki

The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz - audiobook MP3

The Kaggle Book. Master data science competitions with machine learning, GenAI, and LLMs - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz - audiobook CD

Autorzy:
Luca Massaron, Bojan Tunguz, Konrad Banachewicz
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Kaggle has become the proving ground for millions of data enthusiasts worldwide, offering what no classroom tutorial can match: battle-tested skills built through real-world challenges and the hands-on experience that employers seek. Every competition sharpens your data analysis skills, expands your network within the data scientist community, and gives compelling proof of expertise to unlock career opportunities.
The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition.
The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics.
Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you.
Join our Discord community of over 1,000 members to learn, share, and grow together!

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O autorach książki

Luca Massaron specjalizuje się w statystycznych analizach wieloczynnikowych, uczeniu maszynowym, statystyce, eksploracji danych i algorytmice. Pasjonuje się potencjałem, jaki drzemie w nauce o danych.

Bojan is a Machine Learning Modeler. He has worked at several tech startups, and most recently at NVIDIA. Bojan holds a Ph.D. in Theoretical Physics, and has been working in Machine Learning and Data Science fields for eight years, where has worked with real-world FinTech problems. He is one of seven Quadruple Kaggle Grandmasters, and is the first person to be ranked in top 10 in all four Kaggle categories simultaneously. He has nine Kaggle competition gold medals, and with his team has won the largest Kaggle competition at the time, Home Credit Classification challenge. His work as a competition participant and organizer in Human Protein Classification challenge and mRNA Open Vaccine has been part of three distinct Nature publications. Bojan considers himself a Machine Learning generalist, and has considerable experience working with a wide variety of Machine Learning problems - image, NLP, voice, tabular, etc. He is passionate about learning and exploring new applications of Machine Learning, especially those that can have a significant impact on real world problems. He is currently working on application of Machine Learning in RNA bioinformatics and in social media analysis. He is particularly interested in fundamental issues of Machine Learning for tabular data.
Konrad Banachewicz is the author of the bestselling, The Kaggle Book and The Kaggle Workbook. He is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world.

Luca Massaron, Bojan Tunguz, Konrad Banachewicz - pozostałe książki

Packt Publishing - inne książki

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