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The Kaggle Book. Data analysis and machine learning for competitive data science  - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz

Język publikacji: angielski
The Kaggle Book. Data analysis and machine learning for competitive data science  - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz - okladka książki

The Kaggle Book. Data analysis and machine learning for competitive data science  - Second Edition Luca Massaron, Bojan Tunguz, Konrad Banachewicz - okladka książki

Autorzy:
Luca Massaron, Bojan Tunguz, Konrad Banachewicz
Serie wydawnicze:
Learning
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.

The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you’ll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won’t easily find elsewhere, and the knowledge they’ve accumulated along the way. As well as Kaggle-specific tips, you’ll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You’ll design better validation schemes and work more comfortably with different evaluation metrics.

Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you.

Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!

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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

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