Category: Computer Science & Computer Engineering

Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2 [Video] 0

Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2 [Video]

Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2 [Video] English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 6h 07m | 1.51 GB eLearning | Skill level: All Levels Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2 [Video]: Build your own computer vision deep learning classifiers Do you want to understand how computers see images and videos? Using artificial intelligence, we can enable computers and smart devices to interpret what is in an image (computer vision). This...

Autonomous Cars: Deep Learning and Computer Vision in Python [Video] 0

Autonomous Cars: Deep Learning and Computer Vision in Python [Video]

Autonomous Cars: Deep Learning and Computer Vision in Python [Video] English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 12h 14m | 3.17 GB eLearning | Skill level: All Levels Autonomous Cars: Deep Learning and Computer Vision in Python [Video]: Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars The automotive industry is experiencing a paradigm shift from conventional, human-driven vehicles to self-driving, artificial intelligence-powered vehicles. As the world advances towards a driverless future,...

Modeling Count Data using Stata [Video] 0

Modeling Count Data using Stata [Video]

Modeling Count Data using Stata [Video] English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 4h 40m | 1.25 GB eLearning | Skill level: All Levels Modeling Count Data using Stata [Video]: Learn Poisson and negative binomial regression techniques The course is divided into two parts. In the first part, you’ll be introduced to the theory behind count models in an intuitive way while keeping the math at a minimum. The course starts with an overview of count tables, where...

Deep Reinforcement Learning in Action 0

Deep Reinforcement Learning in Action

eBook Details: Paperback: 384 pages Publisher: WOW! eBook; 1st edition (May 12, 2020) Language: English ISBN-10: 1617295434 ISBN-13: 978-1617295430 eBook Description: Humans learn best from feedback – we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical...

Machine Learning with R, the tidyverse, and mlr 0

Machine Learning with R, the tidyverse, and mlr

eBook Details: Paperback: 536 pages Publisher: WOW! eBook; 1st edition (March 31, 2020) Language: English ISBN-10: 1617296570 ISBN-13: 978-1617296574 eBook Description: Machine Learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming...