программирование

Head First Python, Third Edition, Early Release Raw and Unedited, Barry P., 2023.
     
   “Python has been around since 1991, but lately, it has seen a massive resurgence due to machine learning and Jupyter environments. Since this language has changed over many years, it can be daunting figuring out how to get started. Head First Python not only gives you the basics but cuts out all the unnecessary cruft. You will enjoy developing a real-world application with a fun real-world story while creating notebooks and deploying a workable application on the web. If Python is on your to-do list, start with this book!”.

Electronics and MicroPython with ESP32, 80 Complete Projects, Chenlo G., 2024.
     
   When I published my first book “Home Automation with Raspberry©, Google© and Python©: an useful and fun Home Automation project”, www.amazon.com, both in Spanish and English, I received several comments from readers encouraging me to write another book for beginners in the use of micro controllers such as the Raspberry©, Arduino© or ESP32© as a basis for the creation of small projects development exercises, which will be explained step by step, more slowly, in more detail, more easily, etc. how to use an ESP32©, starting from scratch and adding elements from less to more complexity: LED, buttons, sensors, sounds, switches, controllers, Home Automation devices, access from the Web, voice control, IFTTT©, server Web, etc.

Deep Learning with Python, Third Edition, Chollet F., Walson M.
     
   Thank you for purchasing the MEAP for Deep Learning with Python, Third Edition. If you are looking for a resource to learn about deep learning from scratch and to quickly become able to use this knowledge to solve real-world problems, you have found the right book. Deep Learning with Python is meant for engineers and students with a reasonable amount of Python experience, but no significant knowledge of machine learning and deep learning. It will take you all the way from basic theory to advanced practical applications.

Build a Website with ChatGPT, MEAP, McFedries P.
    
Фрагмент из книги.
The British science fiction writer Arthur C. Clarke once formulated three truisms that came to be known as Clarke’s three laws, the third of which is the one most often cited: “Any sufficiently advanced technology is indistinguishable from magic.” If you’ve always wanted to create web pages but were daunted by the technology, then the premise of this book — that you can create your own website with the help of ChatGPT — might seem like magic to you. That’s no surprise because if any technology within recent memory deserves the description “sufficiently advanced,” it’s ChatGPT and similar so-called generative AI — artificial intelligence applications that can create poetry, prose, and, yes, web pages.

An Introduction to Image Classification, Toennies K.D., 2024.
    
   This book commences by laving the groundwork for image classification through image feature extraction and model-driven classification in feature space. Neural networks are then introduced that can learn arbitrary models directly from labeled sample images. The behavior of a neural network is traced back to concepts of a designed classification model. We explicitly discuss relations between network topologies and their ability to represent components of a traditional designed model. It helps to gain insight into the potential and limitations of such networks.

Advanced Techniques in Optimization for Machine Learning and Imaging, Benfenati A., Porta F., Bubba T.A., 2024.
    
   In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and imaging. The present book is a collection of recent contributions in the field of optimization, either revisiting consolidated ideas to provide formal theoretical guarantees or providing comparative numerical studies for challenging inverse problems in imaging. The work of these papers originated in the INdAM Workshop “Advanced Techniques in Optimization for Machine learning and Imaging” held in Roma, Italy, on June 20-24, 2022.

3D Data Science with Python, Poux F., 2025.
    
   This book is a practical reference for data scientists, engineers, and anyone curious about working with 3D data. It assumes very little: it will work beautifully, even without any understanding of Python programming and little familiarity with fundamental data science concepts. Moreover, no prior experience with 3D Data Processing is necessary. I will guide you through the essential libraries and techniques step-by-step, ensuring that you can apply the knowledge to real-world scenarios and challenges, in a о to 1 fashion.

Прикладное машинное обучение и искусственный интеллект для инженеров, Просиз Дж., 2024.
    
   Книга рассказывает о применении искусственного интеллекта и машинного обучения в бизнесе и инженерной практике. Подробно описаны популярные алгоритмы машинного обучения и разъяснено, когда их целесообразно использовать. Приведены примеры построения моделей машинного обучения на языке Python с помощью библиотеки Scikit-Leam, а также создания нейронных сетей посредством библиотек Keras и TensorFlow. Изложены базовые принципы и способы оценки регрессионных моделей, моделей бинарной и многоклассовой классификации. Показаны примеры создания модели распознавания лиц и обнаружения объектов, языковых моделей, отвечающих на естественно-языковые вопросы и переводящих текст на другие языки. Рассмотрено использование набора облачных API Cognitive Services для внедрения ИИ в различные приложения.