Data Science with Machine Learning : Python Interview Questions

Data Science with Machine Learning : Python Interview Questions

Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Narayanan, Vishwanathan. (Συγγραφέας)
Μορφή:	E-Book
Γλώσσα:	Anglais
Έκδοση:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Διαθέσιμο Online:	Accès à l'E-book

Παρόμοια τεκμήρια

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Machine Learning and Data Science in the Oil and Gas Industry : Best Practices, Tools, and Case Studies
ανά: Bangert, Patrick.
Έκδοση: (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
ανά: Suda, Vijaya Kumar.

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

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

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

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

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

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

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

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

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

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

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

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

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

Machine learning for planetary science
ανά: Helbert, Joern.
Έκδοση: (2022)

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

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

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

Python 3 for Machine Learning
ανά: Campesato, Oswald.

Advanced machine learning with Python
ανά: Hearty, John.
Έκδοση: (2016)

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

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

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

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

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

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