ml (23)

Importance of data annotation services for AI and machine learning applications

Introduction to Data Annotation Services The success of artificial intelligence (AI) and machine learning (c) applications depends largely on the availability of accurate and rele...

Alex · 19 April · 46

How Data Labeling Can Help Improve Your Machine Learning Models

Machine learning models are becoming increasingly popular as part of many applications, from facial recognition to autonomous driving. Although these models are powerful tools, the...

Alex · 23 March · 93

Top Artificial Intelligence Trends Businesses Must Watch Out for in 2023

Artificial Intelligence (AI) is a profound technology, as it allows machines, especially computer systems, to mimic the behavior of humans. Although artificial intelligence is incr...

Alex · 15 February · 100

Is ChatGPT the Industry Disrupter Everyone Says It Is?

If we believe the New York Times, Google has declared a red alert due to the recent release of ChatGPT. Made by OpenAI, this AI software looks set to create as big a stir as OpenAI...

Alex · 17 January · 75

The Benefits of Implementing Machine Learning in Your Business

It is a jungle out there, isn’t it? The competition is massive, and business and customer demands are ever-evolving. Thus, standing out, becoming a confident player, and a strong c...

Alex · 06 January · 138 · 1

Data Cleaning in Machine learning(ML): Importance and Practices

Unclean data mostly occurs from human errors, and machine learning is all about exercise and providing data to algorithms to function in numerous computer-intensive tasks. However,...

Vinod Vasava · 14 December 2022 · 40

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...

Alex · 25 June 2020 · 355

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...

Alex · 23 June 2020 · 57

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...

Alex · 18 June 2020 · 112

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...

Alex · 08 June 2020 · 35

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...

Alex · 04 June 2020 · 52

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...

Alex · 31 May 2020 · 47

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...

Alex · 27 May 2020 · 49

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...

Alex · 26 May 2020 · 70

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...

Alex · 23 May 2020 · 63

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...

Alex · 16 May 2020 · 141