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Machine Learning(2023) GEETHA, T V (ANNA UNIVERSITY, INDIA),SENDHILKUMAR, S (ANNA UNIVERSITY, INDIA)This book starts with basic conceptual level of machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. A comprehensive account220,50 €
GEETHA, T V (ANNA UNIVERSITY, INDIA),SENDHILKUMAR, S (ANNA UNIVERSITY, INDIA)
Machine Learning
This book starts with basic conceptual level of machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. A comprehensive account
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Causal Inference in Python(2023) FACURE, MATHEUSIn this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.82,08 €
FACURE, MATHEUS
Causal Inference in Python
In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.
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Deep Learning(2023) MEEDENIYA, DULANIThis book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling.141,74 €
MEEDENIYA, DULANI
Deep Learning
This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling.
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Machine and Deep Learning Using MATLAB(2023) AL-MALAH, KAMAL I. M. (OREGON STATE UNIVERSITY; UNIVERSITY OF HAIL, SAUDI ARABIA)213,75 €
AL-MALAH, KAMAL I. M. (OREGON STATE UNIVERSITY; UNIVERSITY OF HAIL, SAUDI ARABIA)
Machine and Deep Learning Using MATLAB
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Data Science: The Hard Parts(2023) VAUGHAN, DANIELThis practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. Taken as a whole, the lessons in this book make the difference between an average data scientist67,97 €
VAUGHAN, DANIEL
Data Science: The Hard Parts
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. Taken as a whole, the lessons in this book make the difference between an average data scientist
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Machine Learning for Hackers(2012) CONWAY, DREWNow that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data.55,57 €
CONWAY, DREW
Machine Learning for Hackers
Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data.
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Machine Learning Interviews(2023) CHANG, SUSAN SHUIn this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.82,08 €
CHANG, SUSAN SHU
Machine Learning Interviews
In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.
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Architecting Data and Machine Learning Platforms(2024) TRANQUILLIN, MARCO,LAKSHMANAN, VALLIAPPA,TEKINER, FIRATThis handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.67,97 €
TRANQUILLIN, MARCO,LAKSHMANAN, VALLIAPPA,TEKINER, FIRAT
Architecting Data and Machine Learning Platforms
This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.
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Building Recommendation Systems in Python and Jax(2023) BISCHOF, BRYAN,YEE, HECTORIn this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed.82,08 €
BISCHOF, BRYAN,YEE, HECTOR
Building Recommendation Systems in Python and Jax
In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed.
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Practical AI for Healthcare Professionals(2021) SURI, ABHINAVPractical AI for Healthcare Professionals Artificial Intelligence (AI) is a buzzword in the healthcare sphere today.76,31 €
SURI, ABHINAV
Practical AI for Healthcare Professionals
Practical AI for Healthcare Professionals Artificial Intelligence (AI) is a buzzword in the healthcare sphere today.
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Machine Learning: The Art and Science of Algorithms That Make Sense of Data(2012) PETER FLACHVezava: Mehka81,40 €
PETER FLACH
Machine Learning: The Art and Science of Algorithms That Make Sense of Data
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A Gentle Introduction to Support Vector Machines in Biomedicine: Volume 2: Case Studies and Benchmarks(2012) ALEXANDER STATNIKOVVezava: Trda63,31 €
ALEXANDER STATNIKOV
A Gentle Introduction to Support Vector Machines in Biomedicine: Volume 2: Case Studies and Benchmarks
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Bayesian Reasoning and Machine Learning(2012) BARBER, DAVID (UNIVERSITY COLLEGE LONDON)This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available onlin113,63 €
BARBER, DAVID (UNIVERSITY COLLEGE LONDON)
Bayesian Reasoning and Machine Learning
This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available onlin
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