The Math Behind Machine Learning
Let’s look at several techniques in machine learning and the math topics that are used in the process.
作者：Richard Han 来源：medium
发布时间：2019-07-19 01:32:51
The Hundred-Page Machine Learning Book Book Review
The start here and continue here of machine learning. 100-pages in 10-minutes. You ready?
作者：Daniel Bourke 来源：medium
发布时间：2019-07-18 23:05:25
Knowledge Graph
A brief description of Knowledge Graph, it’s uses, how it can be the perfect complement to Machine Learning and also it’s future…
作者：Sudip Chowdhury 来源：medium
发布时间：2019-07-18 22:28:48
Advice for a Future Data Scientist
What is this about?
作者：Sinan Onur ALTINUÇ 来源：medium
发布时间：2019-07-18 20:57:58
How AI Helped HousingAnywhere Create the First Scammer-free Booking Platform
Our new, high-tech employee hunts scammers 24 /7 and is 100 percent effective in eliminating flagged listings
作者：Gianluca Valentini 来源：medium
发布时间：2019-07-18 20:28:30
Deep Learning for NLP: Creating a Chatbot with Keras!
Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?
作者：Jaime Zornoza 来源：medium
发布时间：2019-07-18 17:13:01
Deep Learning for NLP: Creating a Chatbot with Keras!
Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?
作者：Jaime Zornoza 来源：medium
发布时间：2019-07-18 17:13:01
Neural Style Transfer and Visualization of Convolutional Networks
Create professional-looking artwork in 10 minutes using transfer learning.
作者：Matthew Stewart, PhD Researcher 来源：medium
发布时间：2019-07-18 12:18:38
Neural Style Transfer and Visualization of Convolutional Networks
Create professional-looking artwork in 10 minutes using transfer learning.
作者：Matthew Stewart, PhD Researcher 来源：medium
发布时间：2019-07-18 12:18:38
Understanding ‘Winograd Fast Convolution’
Deep learning thrives on speed. Here we will discuss how we can improve convolution by factor of 2.5x .
作者：Deepak Mangla 来源：medium
发布时间：2019-07-18 11:44:54
Understanding ‘Winograd Fast Convolution’
Deep learning thrives on speed. Here we will discuss how we can improve convolution by factor of 2.5x .
作者：Deepak Mangla 来源：medium
发布时间：2019-07-18 11:44:54
Understanding ‘Winograd Fast Convolution’
Deep learning thrives on speed. Here we will discuss how we can improve convolution by factor of 2.5x .
作者：Deepak Mangla 来源：medium
发布时间：2019-07-18 11:44:54
Introducing Huskarl: The Modular Deep Reinforcement Learning Framework
A guest post by Daniel Salvadori
作者：TensorFlow 来源：medium
发布时间：2019-07-18 07:39:05
Minimal Pandas Subset for Data Scientists
All Pandas functionality you will ever need
作者：Rahul Agarwal 来源：medium
发布时间：2019-07-18 07:28:56
The AI Technique That Could Imbue Machines With the Ability to Reason
Yann LeCun, Facebook’s chief AI scientist, believes unsupervised learning will bring about the next AI revolution
作者：MIT Technology Review 来源：medium
发布时间：2019-07-18 06:14:05
