Tag: Workshop

The Python Workshop Write Python code to solve challenging real-world problems, 2nd Edition


Free Download The Python Workshop: Write Python code to solve challenging real-world problems, 2nd Edition by Corey Wade, Mario Corchero Jimenez, Andrew Bird
English | November 18, 2022 | ISBN: 1804610615 | 600 pages | PDF | 69 Mb
Gain proficiency, productivity, and power by working on projects and kick-starting your career in Python with this comprehensive, hands-on guide.

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THE APPLIED DATA SCIENCE WORKSHOP


Free Download THE APPLIED DATA SCIENCE WORKSHOP: Prostate Cancer Classification and Recognition Using Machine Learning and Deep Learning with Python GUI by Vivian Siahaan, Rismon Sianipar
English | November 28, 2021 | ISBN: N/A | ASIN: B09MQ498KJ | 608 pages | MOBI | 17 Mb
The Applied Data Science Workshop on Prostate Cancer Classification and Recognition using Machine Learning and Deep Learning with Python GUI involved several steps and components. The project aimed to analyze prostate cancer data, explore the features, develop machine learning models, and create a graphical user interface (GUI) using PyQt5.

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AI Workshop – Hands-on with GANs with Deep Convolutional Networks


Free Download AI Workshop – Hands-on with GANs with Deep Convolutional Networks
Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 36m | Size: 627 MB
If you’re looking for hands-on AI practice, this workshop-style coding course was designed for you. Join instructor Janani Ravi as she shows you how to build and train deep convolutional generative adversarial networks (DCGANs). Explore the core components of convolutional and pooling layers, including setting up Google Colab cloud-hosted notebooks, transforming multichannel images to tensors, applying layers, and viewing filter effects. Janani covers the basics of training a discriminator as a classification model and training a deep convolutional GAN like a pro, from setting up data for GAN training, setting up the generator and discriminator, and outputting from an untrained generator and discriminator to creating a training loop, viewing and evaluating results, and more.

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Large Hadron Collider Owners’ Workshop Manual 2008 onwards – An insight into the engineering, operation and discoveries


Free Download Gemma Lavender, "Large Hadron Collider Owners’ Workshop Manual: 2008 onwards – An insight into the engineering, operation and discoveries"
English | ISBN: 1785211870 | 2018 | 192 pages | PDF | 34 MB
What is the universe made of? How did it start? This Manual tells the story of how physicists are seeking answers to these questions using the world’s largest particle smasher – the Large Hadron Collider – at the CERN laboratory on the Franco-Swiss border. Beginning with the first tentative steps taken to build the machine, the digestible text, supported by color photographs of the hardware involved, along with annotated schematic diagrams of the physics experiments, covers the particle accelerator’s greatest discoveries – from both the perspective of the writer and the scientists who work there. The Large Hadron Collider Owners’ Workshop Manual is a full, comprehensive guide to the most famous, record-breaking physics experiment in the world, which continues to capture the public imagination as it provides new insight into the fundamental laws of nature.

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European Workshop on Structural Health Monitoring Special Collection of 2020 Papers – Volume 2 (2024)


Free Download European Workshop on Structural Health Monitoring: Special Collection of 2020 Papers – Volume 2 by Piervincenzo Rizzo
English | EPUB | 2021 | 847 Pages | ISBN : 3030649075 | 232.5 MB
This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems. It covers highly diverse topics, including signal processing, smart sensors, energy saving and harvesting, SHM system design and cyber physical systems, autonomous systems, remote sensing and remote support, UAV platforms for SHM, advanced manufacturing, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists. The contents reflect the outcomes of the activities of EWSHM (European Workshop on Structural Health Monitoring) in 2020.

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