🎥 The Pattern Machine (What is Deep Learning?)
👁 1 раз ⏳ 650 сек.
👁 1 раз ⏳ 650 сек.
Part 1 of a series on Artificial Intelligence. Introduces the field of Deep Learning and the idea of distributed representations. The next videos will go deeper...Vk
The Pattern Machine (What is Deep Learning?)
Part 1 of a series on Artificial Intelligence. Introduces the field of Deep Learning and the idea of distributed representations. The next videos will go deeper...
The Binary Extremes of Daenerys Targaryen
https://towardsdatascience.com/the-binary-extremes-of-daenerys-targaryen-1c89502de92d
🔗 The Binary Extremes of Daenerys Targaryen
(Or should I say… “The Binary ExTREEmes”?)
https://towardsdatascience.com/the-binary-extremes-of-daenerys-targaryen-1c89502de92d
🔗 The Binary Extremes of Daenerys Targaryen
(Or should I say… “The Binary ExTREEmes”?)
Towards Data Science
The Binary Extremes of Daenerys Targaryen
(Or should I say… “The Binary ExTREEmes”?)
Geometric Deep Learning for Pose Estimation
🔗 Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
🔗 Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
Medium
Geometric Deep Learning for Pose Estimation
Theory and Pytorch Implementation Tutorial to find Object Pose from Single Monocular Image
🎥 Deep Web: A Web Cmdlets Deep Dive by Mark Kraus
👁 1 раз ⏳ 5136 сек.
👁 1 раз ⏳ 5136 сек.
With many IT processes moving to REST based APIs and our ever increasing reliance on websites to do our jobs as developers and operators, never has there been a time more critical for learning all there is to know as much as possible about the Web Cmdlets. Invoke-WebRequest is like a web browser in your PowerShell console and Invoke-RestMethod converts a remote API endpoint into a PowerShell object.
Go beyond the -Uri parameter and explore the rich and numerous features of these Cmdlets. Learn what sessionVk
Deep Web: A Web Cmdlets Deep Dive by Mark Kraus
With many IT processes moving to REST based APIs and our ever increasing reliance on websites to do our jobs as developers and operators, never has there been a time more critical for learning all there is to know as much as possible about the Web Cmdlets.…
🎥 Machine Learning Part 18: Boosting Algorithms — Gradient Boosting In Python
👁 1 раз ⏳ 670 сек.
👁 1 раз ⏳ 670 сек.
In this video, we walk through the gradient boosting algorithm and implement it in Python.
CONNECT
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Medium: https://medium.com/@corymaklin
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Twitter: https://twitter.com/CoryMaklin
Linkedin: https://www.linkedin.com/in/cory-maklin-a51732b7/
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Patreon: https://www.patreon.com/corymaklinVk
Machine Learning Part 18: Boosting Algorithms — Gradient Boosting In Python
In this video, we walk through the gradient boosting algorithm and implement it in Python. CONNECT Site: https://coryjmaklin.com/ Medium: https://medium.com/@corymaklin GitHub: https://github.com/corymaklin Twitter: https://twitter.com/CoryMaklin Linkedin:…
DeepFool — A simple and accurate method to fool deep Neural Networks.
🔗 DeepFool — A simple and accurate method to fool deep Neural Networks.
An Adversarial Attack
🔗 DeepFool — A simple and accurate method to fool deep Neural Networks.
An Adversarial Attack
Towards Data Science
DeepFool — A simple and accurate method to fool Deep Neural Networks.
An Adversarial Attack
Deep Compressed Sensing
https://arxiv.org/pdf/1905.06723.pdf
https://arxiv.org/pdf/1905.06723.pdf
Precision and Recall Trade-off and Multiple Hypothesis Testing
🔗 Precision and Recall Trade-off and Multiple Hypothesis Testing
Family-wise error rate (FWE) vs False discovery rate (FDR)
🔗 Precision and Recall Trade-off and Multiple Hypothesis Testing
Family-wise error rate (FWE) vs False discovery rate (FDR)
Towards Data Science
Precision and Recall Trade-off and Multiple Hypothesis Testing
Family-wise error rate (FWE) vs False discovery rate (FDR)
The Almighty Policy Gradient in Reinforcement Learning
🔗 The Almighty Policy Gradient in Reinforcement Learning
A simple step by step explanation to the concept of policy gradients and how they fit into reinforcement learning. Maybe too simple.
🔗 The Almighty Policy Gradient in Reinforcement Learning
A simple step by step explanation to the concept of policy gradients and how they fit into reinforcement learning. Maybe too simple.
Towards Data Science
The Almighty Policy Gradient in Reinforcement Learning
A simple step by step explanation to the concept of policy gradients and how they fit into reinforcement learning. Maybe too simple.
ML Approaches for Time Series
🔗 ML Approaches for Time Series
In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case…
🔗 ML Approaches for Time Series
In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case…
Towards Data Science
ML Approaches for Time Series
In this post I play around with some Machine Learning techniques to analyze time series data and explore their potential use in this case…
🎥 Statistics And Probability Tutorial | Statistics And Probability for Data Science | Edureka
👁 1 раз ⏳ 5815 сек.
👁 1 раз ⏳ 5815 сек.
** Data Science Certification using R: https://www.edureka.co/data-science **
This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics are covered in this session:
3:23 What Is Data?
4:17 Categories Of Data
9:01 What Is Statistics?
11:20 Basic Terminologies In Statistics
12:35 Sampling Techniques
17:46 Types Of Statistics
20:22 Descriptive Statistics
21:25 Measures Of Centre
25:40 MeasureVk
Statistics And Probability Tutorial | Statistics And Probability for Data Science | Edureka
** Data Science Certification using R: https://www.edureka.co/data-science **
This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics…
This session on Statistics And Probability will cover all the fundamentals of stats and probability along with a practical demonstration in the R language. The following topics…
🎥 Machine Learning Benefits in Production Operations Panel Discussion - ARC Industry Forum 2019
👁 1 раз ⏳ 4930 сек.
👁 1 раз ⏳ 4930 сек.
Machine Learning Benefits in Production Operations
Analytics and simulation tools are driving improvements in discrete manufacturing production. Manufacturers are embracing the vision of the IIoT as an enabler to improve the predictability of machinery performance in operations and product design. Many manufacturers operate blindly and are slow to close the loop with the supply chain or engineering organizations. Progressive manufacturers seek to identify the cause of poor production performance. ManuaVk
Machine Learning Benefits in Production Operations Panel Discussion - ARC Industry Forum 2019
Machine Learning Benefits in Production Operations
Analytics and simulation tools are driving improvements in discrete manufacturing production. Manufacturers are embracing the vision of the IIoT as an enabler to improve the predictability of machinery…
Analytics and simulation tools are driving improvements in discrete manufacturing production. Manufacturers are embracing the vision of the IIoT as an enabler to improve the predictability of machinery…
🎥 Machine Learning & IIoT Enables Predictive Performance Monitoring Fermentation Process ARC 2019
👁 1 раз ⏳ 1037 сек.
👁 1 раз ⏳ 1037 сек.
We have been hearing a lot about the convergence of information technology and operations technology (IT/OT). This has led to a rapid learning curve for both groups, such as IT learning about what is actually "real time" and OT learning that to leverage the latest technology, 30 year old control systems may need to be upgraded.
Connectivity between OT to IT is essential for any business to compete today with the increasing demand for tighter integration and more information and analytics, along with leverVk
Machine Learning & IIoT Enables Predictive Performance Monitoring Fermentation Process ARC 2019
We have been hearing a lot about the convergence of information technology and operations technology (IT/OT). This has led to a rapid learning curve for both groups, such as IT learning about what is actually "real time" and OT learning that to leverage…
🎥 Machine Learning in the Real World - Valentjin de Leeuw of ARC - ARC Industry Forum 2019 Orlando
👁 1 раз ⏳ 1112 сек.
👁 1 раз ⏳ 1112 сек.
Machine Learning in the Real World
Artificial Intelligence/Machine Learning is driving industrial performance in expected and unexpected ways. Join this session to learn about the benefits of real-world, real-time applications of AI. Stack flare monitoring, operating improvements, and asset performance are but a few of today's real-world use cases.Vk
Machine Learning in the Real World - Valentjin de Leeuw of ARC - ARC Industry Forum 2019 Orlando
Machine Learning in the Real World
Artificial Intelligence/Machine Learning is driving industrial performance in expected and unexpected ways. Join this session to learn about the benefits of real-world, real-time applications of AI. Stack flare monitoring…
Artificial Intelligence/Machine Learning is driving industrial performance in expected and unexpected ways. Join this session to learn about the benefits of real-world, real-time applications of AI. Stack flare monitoring…
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
📝 OpenCV_и_Java_Обработка_изображений.pdf - 💾4 772 721
📝 OpenCV_и_Java_Обработка_изображений.pdf - 💾4 772 721
