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Bayesian Analysis with Python. Click here to enter text

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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition

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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python

Alvaro Fuentes

Becoming a Data Analyst. A Beginner's Guide to Kickstarting Your Data Analysis Career

Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data

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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data

Sridhar Alla

Big Data Analytics with Java. Data analysis, visualization & machine learning techniques

RAJAT MEHTA

Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data

Simon Walkowiak

Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS

David Pope

Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts

Syed Muhammad Fahad Akhtar

Big Data. Krótkie Wprowadzenie 30

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Big Data. Najlepsze praktyki budowy skalowalnych systemów obsługi danych w czasie rzeczywistym

Nathan Marz, James Warren

Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes!

David Stephenson

Big Data Visualization. Bring scalability and dynamics to your Big Data visualization

James D. Miller

Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks

Michael Born

Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger

Bellaj Badr, Richard Horrocks, Xun (Brian) Wu

Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications

Peter Lipovyanov

Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features

Narayan Prusty

Blockchain Quick Reference. A guide to exploring decentralized blockchain application development

Brenn Hill, Samanyu Chopra, Paul Valencourt

Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications

Xun (Brian) Wu, Weimin Sun

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement

John K. Thompson, Douglas B. Laney

Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity

Narayan Prusty

Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python

François Voron