Tag: Datasets

Free Download Open Access Databases and Datasets for Drug Discovery (Methods & Principles in Medicinal Chemistry) by Antoine Daina, Michael Przewosny, Vincent Zoete
English | October 2, 2023 | ISBN: 3527348395 | 352 pages | MOBI | 17 Mb
Open Access Databases and Datasets for Drug Discovery

Free Download Methods for Analyzing Large Neuroimaging Datasets
English | 2025 | ISBN: 1071642596 | 434 Pages | PDF (True) | 27 MB
This Open Access volume explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two covers best practices for working with large data, including how to build reproducible pipelines and how to use Git. Part Three looks at how to do structural and functional preprocessing data at scale, and Part Four describes various toolboxes for interrogating large neuroimaging datasets, including machine learning and deep learning approaches. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.

MP4 | Free Download Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 07:43:50 | 1.05 GB
Genre: eLearning | Language: English
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project.
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Free Download LangChain Techniques for Complex Datasets
Published 6/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 128.96 MB | Duration: 31m 14s
Transform the way you work with large-scale data. This course will teach you how to leverage the power of LangChain to efficiently handle, query, and analyze complex datasets.

Free Download Creating Synthetic Datasets with Generative AI
Published 6/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 44.75 MB | Duration: 15m 7s
This course will teach you how to leverage Generative AI tools to produce quality synthetic datasets for testing, validation, training, and other data needs.

Free Download Building Datasets in Excel
Published 6/2024
Created by Marcus Marktanner
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 4h 38m ) | Size: 3.72 GB

Free Download Using Large Datasets with pandas
Released 2/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 36m | Size: 90 MB
As data grows in size and complexity, most enterprises start to think about how to migrate to a larger-format data system such as Spark. However, this move can be quite painful, and you’ll most likely need to learn an entirely new set of tools. In this course, join instructor Miki Tebeka to learn how to get started working with large datasets using pandas, the fast, powerful, flexible, and easy-to-use data analysis tool built on top of the Python programming language. Find out how to navigate storage formats, tips for saving memory, efficient memory computation strategies, and more. Along the way, Miki also demonstrates how to leverage a handful of alternatives to pandas that still use the same API, such as Dask, Polars, and Beefy VM.

Free Download Video Object Segmentation: Tasks, Datasets, and Methods
English | 2024 | ISBN: 3031446550 | 194 Pages | PDF (True) | 9 MB
This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of segmentation. The book includes these recent results and findings in large-scale video object segmentation as well as benchmarks in large-scale human-centric video analysis in complex events. The authors provide readers with a comprehensive understanding of the challenges involved in video object segmentation, as well as the most effective methods for resolving them.

Free Download Managing Datasets and Models by Oswald Campesato
English | March 2nd, 2023 | ISBN: 1683929527 | 368 pages | True EPUB (Retail Copy) | 21.38 MB
This book contains a fast-paced introduction to data-related tasks in preparation for training models on

Free Download Video Object Tracking: Tasks, Datasets, and Methods
English | 2024 | ISBN: 3031446593 | 130 Pages | PDF (True) | 6 MB
This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area. Video tracking is a key research area in computer vision and aims to track unique objects in a given video, which are useful for various applications such as video conference, video editing, surveillance, and autonomous driving. This book begins with an introduction to the task of video object tracking, including the most common problem settings. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of video tracking. The book includes these recent results as well as benchmarks in large-scale human-centric video analysis in complex events.