× |
|
Pro Git |
519 EGP |
|
519 EGP |
× |
|
Deep Learning for Natural Language Processing, Creating Neural Networks with Python |
419 EGP |
|
419 EGP |
× |
|
Getting to Know IntelliJ IDEA |
469 EGP |
|
469 EGP |
× |
|
Probability & Statistics for Engineers & Scientists |
739 EGP |
|
739 EGP |
× |
|
Make Your Own Neural Network |
369 EGP |
|
369 EGP |
× |
|
Creating Good Data |
299 EGP |
|
299 EGP |
× |
|
Natural Language Processing with Spark NLP |
459 EGP |
|
459 EGP |
× |
|
Simplify Testing with React Testing Library |
389 EGP |
|
389 EGP |
× |
|
Svelte and Sapper in Action |
519 EGP |
|
519 EGP |
× |
|
Openstax, Introductory Business Statistics |
629 EGP |
|
629 EGP |
× |
|
Scientific Computing with Python |
469 EGP |
|
469 EGP |
× |
|
Statistics |
549 EGP |
|
1098 EGP |
× |
|
Think Bayes |
439 EGP |
|
439 EGP |
× |
|
Beginning IntelliJ IDEA |
409 EGP |
|
409 EGP |
× |
|
Forecasting, Principles and Practice |
549 EGP |
|
549 EGP |
× |
|
Regression Analysis by Example |
499 EGP |
|
499 EGP |
× |
|
The Hundred-Page Machine Learning Book |
129 EGP |
|
129 EGP |
× |
|
Embedded Linux Primer |
639 EGP |
|
639 EGP |
× |
|
Building Machine Learning Powered Applications |
399 EGP |
|
399 EGP |
× |
|
Version Control with Git and GitHub |
449 EGP |
|
449 EGP |
× |
|
Introduction to Probability, Dimitri P. Bertsekas |
569 EGP |
|
569 EGP |
× |
|
Artificial Intelligence Foundations |
339 EGP |
|
339 EGP |
× |
|
Bayesian Statistics The Fun Way |
409 EGP |
|
409 EGP |
× |
|
CPython Internals |
479 EGP |
|
479 EGP |
× |
|
Bayesian Statistics for Beginners |
499 EGP |
|
499 EGP |
× |
|
The Art of Statistics, Learning from Data |
459 EGP |
|
459 EGP |
× |
|
Genetic Algorithms and Machine Learning for Programmers |
379 EGP |
|
379 EGP |
× |
|
Data Analytics Made Easy |
489 EGP |
|
489 EGP |
× |
|
Cracking Codes with Python |
489 EGP |
|
489 EGP |
× |
|
Artificial Intelligence, A Modern Approach |
519 EGP |
|
519 EGP |
× |
|
Head First Learn to Code |
629 EGP |
|
629 EGP |
|