Data Science and Machine Learning Interview Questions Using R : Crack the Data Scientist and Machine Learning Engineers Interviews with Ease

Data Science and Machine Learning Interview Questions Using R : Crack the Data Scientist and Machine Learning Engineers Interviews with Ease

Enregistré dans:

Détails bibliographiques
Auteur principal:	Narayanan, Vishwanathan. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Data Science and Machine Learning Interview Questions Using R : Crack the Data Scientist and Machine Learning Engineers Interviews with Ease / Vishwanathan Narayanan

Documents similaires

Data Science and Machine Learning Interview Questions Using Python : A Complete Question Bank to Crack Your Interview
par: Narayanan, Vishwanathan.

Data Science with Machine Learning : Python Interview Questions
par: Narayanan, Vishwanathan.

Big Data Hadoop Interview Guide : Get answers to the most frequently asked questions in a Hadoop interview
par: Narayanan, Vishwanathan.

SQL and NoSQL Interview Questions : Your essential guide to acing SQL and NoSQL job interviews (English Edition)
par: Narayanan, Vishwanathan.

Cracking the Data Science Interview : Unlock insider tips from industry experts to master the data science field
par: Gonzalez, Leondra R..

Practical machine learning for data analysis using Python
par: Subasi, Abdulhamit (19..-....).
Publié: (2020)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
par: Kane, Frank.
Publié: (2017)

Machine Learning for Imbalanced Data : Tackle imbalanced datasets using machine learning and deep learning techniques
par: Abhishek, Kumar.

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
par: Lantz, Brett.

SQL Interview Questions : A complete question bank to crack your ANN SQL interview with real-time examples
par: Kulkarni, Prasad.

Cracking the Data Engineering Interview : Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
par: Bryan, Kedeisha.

Synthetic Data for Machine Learning : Revolutionize your approach to machine learning with this comprehensive conceptual guide
par: Kerim, Abdulrahman.

Advanced Machine Learning with R : Tackle data analytics and machine learning challenges and build complex applications with R 3.5
par: Lesmeister, Cory.
Publié: (2019)

IT Interview Guide for Freshers : Crack your IT interview with confidence
par: Paradkar, Sameer.

Data Cleaning and Exploration with Machine Learning : Get to grips with machine learning techniques to achieve sparkling-clean data quickly
par: Walker, Michael.
Publié: (2022)

Machine learning algorithms : popular algorithms for data science and machine learning
par: Bonaccorso, Giuseppe.
Publié: (2018)

Machine learning with R cookbook : analyze data and build predictive models
par: Bhatia, AshishSingh.
Publié: (2017)

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
par: Lantz, Brett.
Publié: (2013)

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
par: Lantz, Brett.
Publié: (2015)

Introduction to Algorithms for Data Mining and Machine Learning
par: Yang, Xin-She (19..-....).
Publié: (2019)

Big data, data mining, and machine learning : value creation for business leaders and practitioners
par: Dean, Jared (1978-...).

Data-Centric Machine Learning with Python : The ultimate guide to engineering and deploying high-quality models based on good data
par: Christensen, Jonas.

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
par: Bonaccorso, Bonaccorso.
Publié: (2017)

Machine Learning for Streaming Data with Python : Rapidly build practical online machine learning solutions using River and other top key frameworks
par: Korstanje, Joos.
Publié: (2022)

Machine Learning for Data Mining : Improve your data mining capabilities with advanced predictive modeling
par: Salcedo, Jesus.
Publié: (2019)

Python Interview Questions : Brush up for your next Python interview with 240+ solutions on most common challenging interview questions
par: Saxena, Swati.

Practical machine learning in R
par: Nwanganga, Fred (19..-....).

Mastering machine learning with R
par: Lesmeister, Cory.
Publié: (2017)

Mastering Machine Learning with R
par: Lesmeister, Cory.
Publié: (2015)

R machine learning essentials
par: Usuelli, Michele.
Publié: (2014)

The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry
par: Kay Ashenden, Stephanie.
Publié: (2021)

Machine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies
par: Bangert, Patrick.
Publié: (2021)

Big data et machine learning : les concepts et les outils de la data science
par: Lemberger, Pirmin.
Publié: (2016)

Big data et machine learning : les concepts et les outils de la data science
par: Lemberger, Pirmin.
Publié: (2019)

Big data et machine learning : les concepts et les outils de la data science
par: Lemberger, Pirmin.
Publié: (2019)

Big data et machine learning : les concepts et les outils de la data science
Publié: (2019)

The Statistics and Machine Learning with R Workshop : Unlock the power of efficient data science modeling with this hands-on guide
par: Peng, Liu.

Qualitative interviewing : the art of hearing data
par: Rubin, Herbert J.
Publié: (2012)

Machine Learning, Big Data, and IoT for Medical Informatics
par: Kumar, Pardeep (19..-....).
Publié: (2021)

Agile Machine Learning with DataRobot : Automate each step of the machine learning life cycle, from understanding problems to delivering value
par: Chadha, Bipin.
Publié: (2021)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1