Big Data Analytics Cloud Computing Deep Learning 
Data Science Dojo
FEBRUARY 13, 2025
As one of the largest developer conferences in the world, this event draws over 5,000 professionals to explore cutting-edge advancements in software development, AI, cloud computing, and much more. Machine Learning & Deep Learning Advances Gain insights into the latest ML models, neural networks, and generative AI applications.
Dataconomy
FEBRUARY 11, 2025
AI summers, such as those driven by advancements in deep learning, increased computational power, and big data analytics, have repeatedly revived interest and funding.
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Smart Data Collective
FEBRUARY 20, 2022
AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.
Smart Data Collective
DECEMBER 1, 2022
The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.
Smart Data Collective
OCTOBER 13, 2021
As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).
ODSC - Open Data Science
FEBRUARY 8, 2024
Deep Learning with PyTorch and TensorFlow Dr. Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn, for an immersive introduction to Deep Learning that brings high-level theory to life with interactive examples featuring all three of the principal Python libraries, PyTorch, TensorFlow 2, and Keras.
Data Science Dojo
JULY 3, 2024
Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered. It will continue to make them a favorable choice in this fast-paced digital world.
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