machine learning (14)

Will Nvidia Chips Be Inside Everything?

Nvidia is trying to strong-arm its way into more devices than ever before. And yes, this article is going to be about Nvidia's acquisition of Arm. At first, the two companies don'...

16 October

Machine Learning Foundations: Part 10 - Using NLP to build a sarcasm classifier

Previous: Part 9 - Using the Sequencing APIs Over the last few parts, we haven't done much machine learning. Instead, we looked at how you can preprocess text data to get it ready...

25 June

Machine Learning Foundations: Part 9 - Using the Sequencing APIs

In part 8: Introduction to Natural Language Processing, we looked at how you can tokenize words with simple APIs. This allowed you to turn words into numbers or tokens so that they...

23 June

Machine Learning Foundations: Part 8 - Tokenization for Natural Language Processing

Previous Part 7 - Image augmentation and overfitting Up to now, you've learned how machine learning works and explored examples in computer vision by doing image classification, in...

18 June

Machine Learning Foundations: Part 7 - Image augmentation and overfitting

Previous part 6 - Convolutional cats and dogs Over the last few articles, you've looked at convolutional neural networks and how they can be used for computer vision. You built cla...

08 June

Machine Learning Foundations: Part 6 - Convolutional cats and dogs

Previous Part 5: Classifying real-world images In this part  where we'll take what you've learned about convolutional neural networks in the previous few parts and apply them to a...

04 June

Machine Learning Foundations: Part 5 - Classifying real-world images

In this article we're going to look at how to use convolutional neural networks to classify complex features. In previsous part 4 -  Coding with Convolutional Neural Networks, you...

31 May

Machine Learning Foundations: Part 4 - Coding with Convolutional Neural Networks

In the previous part 3 - Convolutions and pooling, you learned all about convolutions and how they can use filters to extract information from images. You also saw how to create po...

27 May

Machine Learning Foundations: Part 3 - Convolutions and pooling

In the previous part 2 - First steps in computer vision,  you built a neural network that could recognize items of clothing.  Now that you've looked at fashion example for computer...

26 May

Machine Learning Foundations: Part 2 - First steps in computer vision

In the previous article Part 1 - What is ML?, you got an introduction to machine learning, and you saw how it works from a programmer's perspective by having you create answers and...

23 May

Introduction to JAX (AI Adventures)

NumPy is fast, but how can we make it even faster?  In this article, we're going to look at a new library from Google Research called JAX and see how it can speed up machine learni...

16 May

Machine Learning Foundations: Part 1 - What is ML?

Welcome to this series on Machine Learning Foundations. It's a course where you'll learn the fundamentals of building machine learning models using TensorFlow. The only thing that...

15 May