Jessica McKellar, Abe Fettig - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs
-
Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
-
Python Nauka programowania dla każdego
-
Dodaj mocy Power BI! Jak za pomocą kodu w Pythonie i R pobierać, przekształcać i wizualizować dane
-
Python for ArcGIS Pro. Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
-
The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
-
Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
-
Serverless Analytics with Amazon Athena. Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
-
Python and R for the Modern Data Scientist
-
Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
-
Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
-
Python i Asyncio. Programowanie asynchroniczne
-
Hands-On Vision and Behavior for Self-Driving Cars. Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4
-
The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
-
The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
-
Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition
-
Algorytmy dla bystrzaków
-
Using Asyncio in Python. Understanding Python's Asynchronous Programming Features
-
Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
Hands-On Reactive Programming with Python. Event-driven development unraveled with RxPY
-
Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
-
Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
-
Applied Deep Learning with Python. Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
-
Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
-
Applied Text Analysis with Python. Enabling Language-Aware Data Products with Machine Learning
-
TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
-
OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition
-
Python. Podstawy nauki o danych. Wydanie II
-
Hello World! Przygoda z programowaniem dla dzieci i absolutnie początkujących. Wydanie II
-
Python: Penetration Testing for Developers. Execute effective tests to identify software vulnerabilities
-
ArcGIS for Desktop Cookbook. Over 60 hands-on recipes to help you become a more productive ArcGIS for Desktop user
-
Twisted Network Programming Essentials. Event-driven Network Programming with Python. 2nd Edition
-
Extending Power BI with Python and R. Perform advanced analysis using the power of analytical languages - Second Edition