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Machine Learning: 3 books in 1: - Hacking Tools for Computer + Hacking With Kali Linux + Python Programming- The ultimate beginners guide to improve
80% of respondents would recommend this to a friend
MYR 219
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Maklumat produk
| Book format | Paperback |
| Edition | Standard Edition |
| Pages | 522 |
| Language | English |
| Brand | Adam Bash |
| Author | Adam Bash |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Dimensions | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Age group | Adult |
| Piece count | 3 |
| Original languages | English |
PENERANGAN PRODUK
Machine Learning: 3 books in 1: - Hacking Tools for Computer + Hacking With Kali Linux + Python Programming- The ultimate beginners guide to improve your knowledge of programming and data science (Pap
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Adam Bash Data Modeling & Design Books Editorial Review
Machine Learning: 3 books in 1: - Hacking Tools for Computer + Hacking With Kali Linux + Python Programming offers a comprehensive introduction to programming and data science, featuring 522 pages of insightful content. Authored by Adam Bash, this standard edition paperback is designed for adults and covers essential topics such as hacking tools and Python programming. Readers have noted that the book provides practical knowledge that significantly improves learning and understanding of machine learning concepts. The dimensions of 9.00 x 6.00 x 1.50 inches make it a convenient choice for both reading and reference, appealing to anyone eager to delve into computing and internet technology.
Customer Reviews & Ratings
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Comprehensive guide covering multiple aspects of machine learning
- Offers practical applications with hacking tools
- User-friendly format and layout for easy reading
- Suitable for adult learners wanting to enhance skills
- Includes detailed insights into Python programming
Keburukan
- Content may require prior basic knowledge of programming
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MYR 219
Pesan sekarang dan dapatkannya lebih kurang pada Khamis, November 19
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