
Deep Learning Research Applications for Natural Language Processing
L. Ashok Kumar, Dhanaraj Karthika Renuka, S. Geetha
Published 2022
290 pages
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2022.

L. Ashok Kumar, Dhanaraj Karthika Renuka, S. Geetha
Published 2022
290 pages

Sakti Mishra
Published 2022
430 pages

Victoria Kosa, Vadim Ermolayev
Published 2022
177 pages

José Bravo, Sergio Ochoa, Jesus Favela
Published 2022
1121 pages

S. Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy
Published 2022
266 pages

Ratandeep Kaur
Published 2022
186 pages

Akshata Sawant, Arul Christhuraj Alphonse, Alexandra Martinez
Published 2022
490 pages

Scott McCoy
Published 2022
578 pages

Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Bjö Þór Jónsson
2022 · 2024 edition
432 pages

Joachim Schöpfel, Violaine Rebouillat
Published 2022
272 pages

Mehwish Alam, Marco Rospocher, Marieke van Erp, Laura Hollink, Genet Asefa Gesese
2022 · 2024 edition
507 pages

Lee Stemkoski, James Cona
Published 2022
298 pages

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
2022 · 2023 edition
331 pages

Xudong Ma, Vishakh Hegde, Lilit Yolyan
Published 2022
236 pages

Perez
Published 2022
291 pages

Published 2022
686 pages

Perez
Published 2022
230 pages

Amandeep Singh, Rohit Bansal, Sandhir Sharma
2022 · 2023 edition
190 pages

Gaurav Agarwal, Meenakshi Muralidharan
Published 2022
238 pages

Perez
Published 2022
289 pages

Yoshiyuki Yamashita, Manabu Kano
Published 2022
2298 pages

B. Narendra Kumar Rao, R. Balasubramanian, Shiuh-Jeng Wang, Richi Nayak
Published 2022
505 pages

Perez
Published 2022
222 pages

G Amaresan
Published 2022
208 pages