How to Learn Machine Learning

DECEMBER 15, 2024

Deep Learning Specialization Developed by deeplearning.ai and led by Andrew Ng, this comprehensive five-course program is designed to help learners become experts in the most in-demand artificial intelligence technology of our time.

Machine Learning 52

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Pickl AI

SEPTEMBER 10, 2024

Despite its limitations, the Perceptron laid the groundwork for more complex neural networks and Deep Learning advancements. Introduction The Perceptron is one of the foundational concepts in Artificial Intelligence and Machine Learning.

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Data Science Blog

OCTOBER 20, 2024

Moreover, random forest models as well as support vector machines (SVMs) are also frequently applied. When it comes to deep learning models, that are often used for more complex problems and sequential data, Long Short-Term Memory (LSTM) networks or Transformers are applied.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Classification algorithms like support vector machines (SVMs) are especially well-suited to use this implicit geometry of the data. This approach consists of the following parameters: Model definition We define a sequential deep learning model using the Keras library from TensorFlow.

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IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

Machine Learning 68

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Pickl AI

SEPTEMBER 23, 2024

AI, particularly Machine Learning and Deep Learning uses these insights to develop intelligent models that can predict outcomes, automate processes, and adapt to new information. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.

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Mlearning.ai

MAY 23, 2023

In the final stage, the results are communicated to the business in a visually appealing manner. This is where the skill of data visualization, reporting, and different business intelligence tools come into the picture. Another example can be the algorithm of a support vector machine. What is deep learning?

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