ml
(38)
Using pretrained Bert model for Text Classification
Introduction
TinyBERT is a compact version of BERT (Bidirectional Encoder Representations from Transformers) designed to offer similar performance with a significantly smaller model size. In this tuto...
24 July
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6
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Den W.
How Can Products Study Their Users Better by Using New Tech? (AI/ML)
As the world of technology continues to progress, the trend of personalised products is becoming increasingly prevalent. To serve users better, products should strive to comprehend their target au...
04 August 2023
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3
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Atrina Technologies
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, they can only be as acc...
23 March 2023
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1
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Alex
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 increasingly being used...
15 February 2023
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1
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Alex
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 competitor for mature...
06 January 2023
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2
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1
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Alex
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 for training machin...
25 June 2020
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1
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Alex
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 can be more easily...
23 June 2020
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4
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Alex
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, including understandin...
18 June 2020
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4
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Alex
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 classifiers for fashion...
08 June 2020
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3
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Alex
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 computer vision scen...
04 June 2020
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3
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Alex
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 took what you had le...
31 May 2020
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2
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Alex
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 pools that can reduce...
27 May 2020
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2
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Alex
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 vision, you've prob...
26 May 2020
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2
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Alex
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 data, and letting a...
23 May 2020
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1
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Alex
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 learning.
JAX can au...
16 May 2020
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1
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Alex
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 you'll need to know...
15 May 2020
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1
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Alex
The Successful Real-World Examples of Python in Machine Learning
Machine learning is revolutionizing industries across the globe. It plays a key role in modern innovation, from personalized recommendations to self-driving cars. Python has become the go-to language...
31 March
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Dhruvil Joshi
What are the Benefits of Machine Learning in Business
What are the Benefits of Machine Learning in Business?
In the dynamic landscape of modern business, staying ahead of the curve is not just a luxury; it's a necessity. One technological marvel...
17 July
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Sandip Patel
AI/ML-Driven Production Planning: Unlocking Efficiency and Innovation
In this revolving world of technologies, manufacturers must constantly innovate to keep up with consumer demands and intense competition. Traditional production planning methods frequently use antiquated models and human calculations. In this case, machine learning (ML) and artificial intelligence (...
05 June
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Carolin Winsay
DataScience with Generative AI Course | Generative AI (GenAI) Courses Online
Machine Learning - Supervised Learning
Supervised learning is a fundamental aspect of machine learning, enabling models to make predictions based on labeled datasets. Here’s a concise breakdow...
21 May 2024
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Talluri Renuka
