Dataconomy

MAY 4, 2023

From predicting disease outbreaks to identifying complex medical patterns and helping researchers develop targeted therapies, the potential applications of machine learning in healthcare are vast and varied. What is machine learning? From personalized medicine to disease prevention, the possibilities are endless.

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Heartbeat

JUNE 23, 2023

Time series analysis has become increasingly relevant for a variety of industries, including banking, healthcare, and retail, as big data and the internet of things (IoT) have grown in popularity. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications.

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Applied Data Science

JANUARY 4, 2022

Source Self-supervision Self-supervision is a deep learning technique that could compete with Transformers for the most influential discovery of the past years. Statistical significance The answer is a concept that the deep learning community has been shoving under the carpet for a while now: statistical significance.

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Smart Data Collective

FEBRUARY 26, 2023

As professional and personal life becomes increasingly more digital, employers everywhere are looking for capable programmers to develop new AI algorithms that will help improve efficiency and address some of our most pressing needs Not only are AI software developer jobs ubiquitous, but they are also well paying.

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Mlearning.ai

APRIL 10, 2023

3 feature visual representation of a K-means Algorithm. Source: Marubon-DS Unsupervised Learning In the data science context, clustering is an unsupervised machine learning technique, this means that it does not require predefined labeled inputs or outcomes to learn from.

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AWS Machine Learning Blog

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

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Dataconomy

AUGUST 21, 2023

This is the promise of ambient computing—a technology where an algorithm knows you so well that it anticipates your needs before you’re even aware of them. While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further.

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Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

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AWS Machine Learning Blog

MARCH 29, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models, and pre-built solution templates to help data scientists and ML practitioners get started on training and deploying ML models quickly. Meanwhile, he has been delivering AI courses at Amazon Machine Learning University and Oxford University.

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Dataconomy

AUGUST 6, 2023

From the orchestration of meteorological forecasts to the intricate simulation of molecular interactions and the rapid training of artificial intelligence algorithms, parallel processing has propelled us into a realm of heightened efficiency and expedited insights.

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Pickl AI

SEPTEMBER 17, 2024

By leveraging Machine Learning algorithms and predictive analytics, AI-powered cybersecurity solutions can proactively identify and mitigate risks, providing a more robust and adaptive defence against cyber criminals. As cyber attacks become more sophisticated and frequent, traditional security methods are struggling to keep up.

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Pickl AI

JULY 14, 2023

Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications. Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics.

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Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Arya.ai One of the growing AI companies in India, Arya.ai, deploys Deep Learning solutions for the BFSI sector. Artivatic.ai Artivatic.ai

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Pickl AI

SEPTEMBER 3, 2024

ReLU is widely used in Deep Learning due to its simplicity and effectiveness in mitigating the vanishing gradient problem. Tanh (Hyperbolic Tangent): This function maps input values to a range between -1 and 1, providing a smooth gradient for learning.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses.

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Dataconomy

FEBRUARY 24, 2023

Choose the appropriate algorithm: Select the AI algorithm that best suits the problem you want to solve. Several algorithms are available, including decision trees, neural networks, and support vector machines. This involves feeding the algorithm with data and tweaking it to improve its accuracy.

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AWS Machine Learning Blog

JANUARY 13, 2023

The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research. FedML supports several out-of-the-box deep learning algorithms for various data types, such as tabular, text, image, graphs, and Internet of Things (IoT) data. Define the model. He received his Ph.D.

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Pickl AI

JANUARY 3, 2024

Geographic Variations: The average salary of a Machine Learning professional in India is ₹12,95,145 per annum. Career Advancement: Professionals can enhance earning potential by acquiring in-demand skills like Natural Language Processing, Deep Learning, and relevant certifications aligned with industry needs.

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Heartbeat

MARCH 6, 2023

Image classification is a computer vision task that allows algorithms to understand an image’s contents and assign one or more categories to the image. It can be used in a wide range of applications, especially when used with the Internet of Things. Image classifiers are considered the basis of other computer vision problems.

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Pickl AI

JULY 31, 2023

Examples of narrow AI include virtual personal assistants like Siri or Alexa, recommendation systems used by online platforms, and algorithms used in autonomous vehicles for specific driving tasks. Machine Learning AI systems often employ machine learning algorithms to learn from data and improve their performance over time.

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Pickl AI

JULY 20, 2023

Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. Use machine learning algorithms to build a fraud detection model and identify potentially fraudulent transactions. ImageNet).

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Smart Data Collective

JUNE 16, 2022

It is the ideal solution for contemporary cities that wish to leverage the power of the internet of things while providing possible advantages to their residents. . Deep Learning Technology has started being used increasingly in managing parking areas. Learn more here. What is Deep Learning Technology.

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Pickl AI

JANUARY 23, 2023

With Data Science, healthcare institutes have the power to harness tools like deep learning algorithms, which improve imaging accuracy by feeding the algorithm of the previous examples. These models can improvise with time and can give a more accurate outcome.

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Mlearning.ai

AUGUST 18, 2023

Utilizing Big Data, the Internet of Things, machine learning, artificial intelligence consulting , etc., On top of this, technologies like the Internet of Things (IoT) allow doctors to monitor patient’s health remotely. allows data scientists to revolutionize the entire sector.

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