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Introduction to data science and machine learning
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Explaining imagination
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MACHINE LEARNING FOR DIGITAL COLLECTIONS & PRESERVATION LIBRARY OF CONGRESS DESIGNING STORAGE ARCHITECTURES Machine Learning for Digital Collections & Preservation Greg Ritter (he/him) Lead for Teachi...
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Emotion recognition from Burmese speech based on fused features and deep learning method
Burmese language is challenging for speech emotion classification. Moreover, it is lack of resource and few research was made in this topic. To solve the challenging problem, novel feature extraction ...
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Improving Blind Steganalysis in Spatial Domain using a Criterion to Choose the Appropriate Steganaly
Conventional state-of-the-art image steganalysis approaches usually consist of a classifier trained with features provided by rich image models. As both features extraction and classification steps ar...
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TensorFlow Roadmap
Mastering the TensorFlow by knowing where to start...
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Python Machine Learning Projects
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Edward: A library for probabilistic modeling, inference, and criticism
Probabilistic modeling is a powerful approach for analyzing empirical information. We describe Edward, a library for probabilistic modeling. Edward's design reflects an iterative process pioneered by ...
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Transformers for Natural Language Processing
First published in 2021...
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Classification and Detection of Vehicles using Deep Learning
The vehicle classification and detecting its license plate are important tasks in intelligent security and transportation systems. The traditional methods of vehicle classification and detection are h...
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Potato Leaf Disease Detection Using Image Processing
Agriculture is one of the most important pillars of Bangladesh’s economy. However, due to some factors such as plant diseases, pests, climate change, the yield of the farming industry decreases, and...
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Toddler monitoring system in vehicle using single shot detector-mobilenet and single shot detector-i
Road vehicles are today’s primary form of transportation; the safety of children passengers must take precedence. Numerous reports of toddler death in road vehicles, include heatstroke and accidents...
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Development of a PC-based sign language translator
While a hearing-impaired individual depends on sign language and gestures, non-hearing-impaired person uses verbal language. Thus, there is need for means of arbitration to forestall situation when a ...
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TensorFlow: Powerful Predictive Analytics with TensorFlow: Predict valuable insights of your data wi
First published in 2018...
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
First published in 2017...
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GPflow: A Gaussian process library using TensorFlow
GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end. The distinguishing features of GPflow are that it uses variational inference as the pr...
View Book →Deep Learning with TensorFlow and Keras
First published in 2022...
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A Machine Learning Driven AI Examination System for Enhanced Assessment and Evaluation
Traditional examination techniques have been completely transformed by the incorporation of machine learning ML and artificial intelligence AI into educational assessment. A machine learning driven ar...
View Book →Generative AI with Python and TensorFlow 2
First published in 2021...
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YouTube-8M: A Large-Scale Video Classification Benchmark
Many recent advancements in Computer Vision are attributed to large datasets. Open-source software packages for Machine Learning and inexpensive commodity hardware have reduced the barrier of entry fo...
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Collecting and analyzing news from newspaper posts in facebook using machine learning
Abstract : Many people use social networks to spend their free time. News, especially at the time of great world changes, began to gain considerable popularity. Washington Post, New York Times, Time, ...
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Deep Learning with TensorFlow 2 and Keras
First published in 2019...
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AI Based Automatic Billing System
Over the past few years, demand for quick, accurate, and transparent billing mechanisms has developed exponentially across many sectors. Conventional billing systems tend to falter under lengthy wait ...
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TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
TF.Learn is a high-level Python module for distributed machine learning inside TensorFlow. It provides an easy-to-use Scikit-learn style interface to simplify the process of creating, configuring, tra...
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Tensorflow 2 Tutorial
A somewhat intermediate level intro to Tensorflow 2...
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Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling
First published in 2018...
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AI-Powered Segmentation for Kidney Tumor Detection
In medical imaging, kidney tumour detection is a crucial task that necessitates accurate segmentation for efficient diagnosis and therapy planning. In order to improve tumour segmentation accuracy, we...
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
First published in 2019...
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Unlock the Best Data Science Opportunities in Pune with upGrad Learning
In recent years, Pune has emerged as a major hub for technology and innovation, attracting IT professionals and data enthusiasts from across India. With a growing number of multinational companies, re...
View Book →Copyright and Artificial Intelligence, Part 3: Generative AI Training Pre-Publication Version
united states copyright office Copyright and Artificial Intelligence Part 3: Generative AI Training A REPORT of the register of copyrights pre-publication version may 2025 united states copyright offi...
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National Security Commission on Artificial Intelligence
Federal Advisory Committee depository collection. Committee name may vary....
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Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow : Conceptos, herramientas y técnicas
First published in 2020...
View Book →Machine Learning Using TensorFlow Cookbook
First published in 2021...
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Visual Perception with Tensorflow
First published in 2019...
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Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow
This report provides an introduction to some Machine Learning tools within the most common development environments. It mainly focuses on practical problems, skipping any theoretical introduction. It ...
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Learn TensorFlow 2.0
First published in 2020...
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Face Recognition based Attendance System
Abstract The attendance process is essential in any of the organization like School, College or any organization. Manual attendance process is very tedious and time consuming process. Face is one of t...
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Melanoma Detection and Classification Using Convolution Neural Network Model
As technology in the field of healthcare advances, so does the need for efficient and accurate detection of skin cancer at earlier stages to improve patient care and reduce workload for medical staff....
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An artificial intelligent system for cotton leaf disease detection
This study aims to develop a deep learning-based system for the detection and classification of diseases in cotton leaves, with the goal of aiding in early diagnosis and disease management, thereby en...
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