Data Science with Machine Learning : Python Interview Questions

Data Science with Machine Learning : Python Interview Questions

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Bibliografiske detaljer
Hovedforfatter:	Narayanan, Vishwanathan. (Auteur)
Format:	E-Book
Sprog:	Anglais
Udgivet:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Online adgang:	Accès à l'E-book

Lignende værker

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

Data Science and Machine Learning Interview Questions Using R : Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
af: Narayanan, Vishwanathan.

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

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

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

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

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

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

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

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

Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
af: Ivezic, Zeljko (1965-....).
Udgivet: (2019)

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

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

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

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

Data Labeling in Machine Learning with Python : Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
af: Suda, Vijaya Kumar.

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

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

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

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

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

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

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

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
af: Theobald, Oliver.

Python machine learning
af: Lee, Wei-Meng (19..-....).

Machine Learning in Biotechnology and Life Sciences : Build machine learning models using Python and deploy them on the cloud
af: Alkhalifa, Saleh.
Udgivet: (2022)

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

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
af: Raschka, Sebastian.
Udgivet: (2019)

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

Machine learning for planetary science
af: Helbert, Joern.
Udgivet: (2022)

Machine learning : expert techniques to tackle complex machine learning problems using Python
af: Thanaki, Jalaj.
Udgivet: (2018)

Data Science with Python : Combine Python with machine learning principles to discover hidden patterns in raw data
af: Chopra, Rohan.
Udgivet: (2019)

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

Python 3 for Machine Learning
af: Campesato, Oswald.

Advanced machine learning with Python
af: Hearty, John.
Udgivet: (2016)

Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning
af: Masson-Forsythe, Margaux.

Statistics for Machine Learning : Implement Statistical methods used in Machine Learning using Python
af: Singh, Himanshu.

Pragmatic Machine Learning with Python : Learn How to Deploy Machine Learning Models in Production
af: Nag, Avishek.

Machine learning fundamentals : use Python and scikit-learn to get up and running with the hottest developments in machine learning
af: Saleh, Hyatt.
Udgivet: (2018)

Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python
af: Raschka, Sebastian.
Udgivet: (2022)

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