Cover Image

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /

Show other versions (1)

"In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it....

Full description

Bibliographic Details
Main Authors:	Gutman, Alex J., Goldmeier, Jordan (Author)
Corporate Author:	Knovel (Firm)
Format:	eBook
Language:	English
Published:	Indianapolis, Indiana : John Wiley and Sons Incorporated, [2021]
Subjects:	Data mining. Machine learning. Data Mining Exploration de données (Informatique) Apprentissage automatique. Electronic books. Handbook Handbooks and manuals. Guides et manuels.
Online Access:	Connect to the full text of this electronic book

Similar Items

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)

Data mining and machine learning applications /
Published: (2022)

Merkmalskonstruktion für Machine Learning : Prinzipien und Techniken der Datenaufbereitung /
by: Zheng, Alice, et al.
Published: (2019)

Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme /
by: Raschka, Sebastian
Published: (2018)

Werde ein Data Head : Data Science, Machine Learning und Statisik verstehen und datenintensive Jobs meistern /
by: Gutman, Alex J., et al.
Published: (2022)

Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)

Meta-analytics : consensus approaches and system patterns for data analysis /
by: Simske, Steven J.
Published: (2019)

How one Google team built storytelling into analytics /
by: Zhu, Jiaxi
Published: (2025)

Machine learning and data mining : introduction to principles and algorithms /
by: Kononenko, Igor, 1959-
Published: (2007)

Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization /
by: Martino, Julio Cesar Rodriguez
Published: (2019)

Building an effective data science practice a framework to bootstrap and manage a successful data science practice /
by: Raina, Vineet, et al.
Published: (2022)

Data cleaning and exploration with machine learning : get to grips with machine learning techniques to achieve sparkling-clean data quickly /
by: Walker, Michael
Published: (2022)

Machine Learning mit Python und Scikit-learn und TensorFlow : das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics /
by: Raschka, Sebastian, et al.
Published: (2018)

Jing tong ji qi xue xi : shi yong Python = Introduction to machine learning with Python /
by: Müller, Andreas C., et al.
Published: (2017)

Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She
Published: (2019)

Multimodal learning using heterogeneous data /
Published: (2025)

Temporal Data Mining via Unsupervised Ensemble Learning.
by: Yang, Yun (University lecturer)
Published: (2016)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)

Data science projects with Python : a case study approach to gaining valuable insights from real data with machine learning /
by: Klosterman, Stephen
Published: (2021)

Machine learning in multimedia : unlocking the power of visual and auditory intelligence /
Published: (2025)

Teaching data science : core learning outcomes and topics for an introductory course.
Published: (2018)

Machine Learning mit Python : das Praxis-Handbuch für Data Science, Predictive Analytics und Deep Learning /
by: Raschka, Sebastian
Published: (2017)

Personalized machine learning /
by: McAuley, Julian
Published: (2022)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)

Introduction to machine learning with Python : a guide for data scientists /
by: Müller, Andreas C., et al.
Published: (2017)

Machine learning and big data : concepts, algorithms, tools and applications /
Published: (2020)

Big data analytics projects with Apache Spark /
Published: (2018)

Spark analytics for real-time data processing /
Published: (2018)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)

Data Science : Grundlagen, Architekturen und Anwendungen /
by: Haneke, Uwe
Published: (2019)

Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn /
by: Klosterman, Stephen
Published: (2019)

Python 3 and data analytics : pocket primer /
by: Campesato, Oswald
Published: (2021)

Basic statistics and regression for machine learning in Python /
Published: (2021)

Building Data Science Solutions with Anaconda : a Comprehensive Starter Guide to Building Robust and Complete Models /
by: Meador, Dan
Published: (2022)

Using web scraping and machine learning to study political polarization.
Published: (2019)

Machine learning and its applications : advanced lectures /
Published: (2001)

Data mining : practical machine learning tools and techniques /
by: Witten, I. H. (Ian H.), et al.
Published: (2011)

Data science and machine learning : (theory and projects) A to Z.
Published: (2021)

Productive and efficient data science with Python : with modularizing, memory profiles, and parallel/GPU processing /
by: Sarkar, Tirthajyoti
Published: (2022)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)