AI News, Microsoft is taking autocorrect to the next level
- On Sunday, June 3, 2018
- By Read More
Microsoft is taking autocorrect to the next level
The standard version didn’t pick up on three missing determiners while the prototype Windows ML-powered version highlighted the three nouns that were missing their determiners. “We’ve trained the grammar checker and it now can suggest corrections that I can take action on and fix,”
“We’re running this on Windows ML, which enables Word to build an experience that is low-latency, has high scalability because there are a lot of Word users out there, and it can work offline.” The big news here is that Microsoft’s products, such as Word, are now relying on machine learning algorithms running locally on a Windows 10 device, and not in the cloud.
And because these algorithms are running locally within apps installed on a device, the results are extremely quick. Group program manager Kam VedBrat introduced the new Windows ML application programming interface (API) in March, a platform that enables developers to implement pre-trained machine learning models in their apps and experiences.
- On Wednesday, February 26, 2020
Hello World - Machine Learning Recipes #1
Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's ...
Natural Language Processing With Python and NLTK p.1 Tokenizing words and Sentences
Natural Language Processing is the task we give computers to read and understand (process) written text (natural language). By far, the most popular toolkit or ...
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | Edureka
TensorFlow Training - ) This Edureka TensorFlow Tutorial video (Blog: will help .
MarI/O - Machine Learning for Video Games
MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World. Source Code: "NEAT" ..
Sentiment Analysis in 4 Minutes
Link to the full Kaggle tutorial w/ code: Sentiment Analysis in 5 lines of ..
Lecture 4: Word Window Classification and Neural Networks
Lecture 4 introduces single and multilayer neural networks, and how they can be used for classification purposes. Key phrases: Neural networks. Forward ...
Lecture 2 | Word Vector Representations: word2vec
Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to designing word vectors. Key phrases: ...
Lecture 3 | GloVe: Global Vectors for Word Representation
Lecture 3 introduces the GloVe model for training word vectors. Then it extends our discussion of word vectors (interchangeably called word embeddings) by ...
Computer tries to replicate my voice!
Skip to 9:27 if you want to hear the computer speaking (and not the process by which I made it happen). The comment was originally by ContactingTheDead, ...
How to Make a Simple Tensorflow Speech Recognizer
In this video, we'll make a super simple speech recognizer in 20 lines of Python using the Tensorflow machine learning library. I go over the history of speech ...