Biznes IT

Czy myśleliście kiedyś, w jaki sposób rozpocząć swój biznes w branży IT? Może już prowadzicie własną firmę i Chcecie, aby zaistniała ona w sieci? W tej kategorii znajdziecie książki, w których zawarty jest know-how związany z wieloma rodzajami działalności prowadzonych poprzez internet, czy w inny sposób związanych z nowoczesnymi technologiami w biznesie.

Znajdziecie informacje o systemach zarządzania informacjami o Klientach - popularnych CRM'ach, o zarządzaniu projektami IT, wykorzystaniu potencjału popularnych teraz portali społecznościowych do promocji swojej działalności, czy też poradniki, które pomogą Wam rozwinąć umiejętności pozatechniczne - równie ważne dla Waszych przedsięwzięć.

siatka lista

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Tarek Amr

Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library

Kai Sasaki

Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem

Ankur Ankan, Abinash Panda

Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Hands-On Meta Learning with Python. Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Sudharsan Ravichandiran

Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition

Alexandre DuBreuil

Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications

Rajesh Arumugam, Rajalingappaa Shanmugamani

Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications

Matt Cole

Hands-On Neural Networks with Keras. Design and create neural networks using deep learning and artificial intelligence principles

Niloy Purkait

Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Shruti Jadon, Ankush Garg

Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment

Alvaro Fuentes

Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

Anubhav Singh, Sayak Paul

Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Nazia Habib

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python

Rounak Banik

Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran

Hands-On RTOS with Microcontrollers. Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools

Brian Amos