AWS Machine Learning Blog

APRIL 3, 2023

JumpStart is the machine learning (ML) hub of Amazon SageMaker that offers a one-click access to over 350 built-in algorithms; pre-trained models from TensorFlow, PyTorch, Hugging Face, and MXNet; and pre-built solution templates. He focuses on developing scalable machine learning algorithms.

Natural Language Processing 101

Natural Language Processing Machine Learning Machine Learning Algorithm 101

Mlearning.ai

MAY 21, 2023

If you are interested in exploring machine learning and want to dive into practical implementation, working on machine learning projects with source code is an excellent way to start. These projects also enable you to grasp the practical aspects of solving real-world problems using machine-learning techniques.

Machine Learning 52

Machine Learning Machine Learning Python K-nearest Neighbors 52

Mlearning.ai

JUNE 7, 2023

This is going to be an interesting blog, so without any further due, let’s start… Machine learning has revolutionized various industries, from healthcare to finance and everything in between. However, building a machine learning model involves more than just training algorithms. We have the IPL data from 2008 to 2017.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided. We have the IPL data from 2008 to 2017.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. This is achieved through the Guided GradCAM algorithm ( Ramprasaath et al. ). Journal of machine learning research 9, no. probability and Cover 1 Man with 31.3% Visualizing data using t-SNE.”

ML 96

ML ML Machine Learning Machine Learning 96

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

ML 52

ML ML Deep Learning Deep Learning 52

Pickl AI

MARCH 7, 2025

It includes AI, Deep Learning, Machine Learning and more. The Power of Machine Learning and AI in Data Science Machine Learning (ML) and AI are integral components of Data Science that enable systems to learn from data without explicit programming.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

ML Review

MARCH 5, 2019

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

AI 40

AI AI Clustering Machine Learning 40

Flipboard

AUGUST 25, 2023

Zhavoronkov has a narrower definition of AI drug discovery, saying it refers specifically to the application of deep learning and generative learning in the drug discovery space. The “deep learning revolution” — a time when development and use of the technology exploded — took off around 2014, Zhavoronkov said.

AI 123

AI AI Machine Learning Machine Learning 123