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  1. 1

    NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL by SIDDIQUI, T.

    Published 2009
    Book
  2. 2

    Algorithms and Parallel Computing by Gebali,F

    Published 2011
    Book
  3. 3

    Practical Statistics for Data Scientists by Bruce, Peter

    Published 2024
    Book
  4. 4

    Database Reliability Engineering:Designing and Operating Resilient Database Systems by Campbell, L

    Published 2022
    Book
  5. 5

    Essential Math for Data Science:Take Control Of Your Data by Nield, T

    Published 2023
    Book
  6. 6

    Big Data using Hadoop and Hive by Kumar, Nitin

    Published 2021
    Book
  7. 7

    Ethics and Data Science by Loukides, M

    Published 2022
    Book
  8. 8

    Principles of Data Wrangling by Rattenbury,T

    Published 2023
    Book
  9. 9

    Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation by Lakshmanan, V

    Published 2021
    Book
  10. 10

    Reinforcement Learning by Sutton, R S

    Published 1998
    Book
  11. 11

    Deep Learning for Vision Systems by Elgendy, Mohamed

    Published 2020
    Book
  12. 12

    Data Engineering with Apache Spark by Kukreja, Manoj

    Published 2021
    Book
  13. 13

    Mastering Reinforcement Learning with Python by Bilgin, Enes

    Published 2020
    Book
  14. 14

    Foundation of Deep Reinforcement Learning: theory and Prac in Python by Graesser, L

    Published 2022
    Book
  15. 15

    MakeoverMonday by Kriebel, A

    Published 2018
    Book
  16. 16

    Programmable Logic Controllers by Petruzella, F D

    Published 2017
    Book
  17. 17

    Probabilistic Graphical Models by Koller, D

    Published 2009
    Book
  18. 18

    Spatial Data Analysis:Theory and Practice by Haining, R

    Published 2003
    Book
  19. 19

    Time Series Forecasting by Chatfield, Chris

    Published 2017
    Book
  20. 20

    Mastering Probabilistic Graphical Models Using Python by Ankan, Ankur

    Published 2015
    Book