Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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Dataconomy

MAY 25, 2023

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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PyImageSearch

JANUARY 2, 2023

Further, significant health technology, digital technology, and artificial intelligence (AI) investments are needed to bridge the health service gap in emerging markets. COVID-19 has also accelerated the pace of transition to digital health applications, including those that integrate AI.

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Dataconomy

OCTOBER 5, 2023

If you are interested in technology at all, it is hard not to be fascinated by AI technologies. Whether it’s pushing the limits of creativity with its generative abilities or knowing our needs better than us with its advanced analysis capabilities, many sectors have already taken a slice of the huge AI pie.

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Heartbeat

FEBRUARY 22, 2023

Deep learning for feature extraction, ensemble models, and more Photo by DeepMind on Unsplash The advent of deep learning has been a game-changer in machine learning, paving the way for the creation of complex models capable of feats previously thought impossible.

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Dataconomy

AUGUST 25, 2023

Machine learning models: Machine learning models, such as support vector machines, recurrent neural networks, and convolutional neural networks, are used to predict emotional states from the acoustic and prosodic features extracted from the voice.

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AssemblyAI

MAY 2, 2023

The term “Generative AI” has appeared as if out of thin air over the past few months. But what does “Generative AI” actually mean? In this article, part of our Everything you need to know about Generative AI series, we will provide an overview of the topic from the ground up. What is Generative AI?

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Towards AI

JANUARY 26, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Shivamshinde Originally published on Towards AI. For example, in the training of deep learning models, the weights and biases can be considered as model parameters. Every type of machine learning and deep learning algorithm has a large number of hyperparameters.

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Mlearning.ai

APRIL 8, 2023

What is Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with interactions between computers and human languages. The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms.

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How to Learn Machine Learning

DECEMBER 15, 2024

With flexible online learning, expert-designed curriculum, and hands-on projects, students can gain practical skills that are immediately applicable in the real world. Top Machine Learning Courses on Coursera 1. Deep Learning Specialization Developed by deeplearning.ai

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Flipboard

JULY 31, 2023

We will discuss what to look for in a dataset, provide an overview of the most popular datasets this year, share successful case studies, and even offer guidance on preparing your own dataset for machine learning. So, let’s dive in and explore the fascinating world of machine learning datasets! of the time.

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Mlearning.ai

MARCH 13, 2023

Photo by Andy Kelly on Unsplash Choosing a machine learning (ML) or deep learning (DL) algorithm for application is one of the major issues for artificial intelligence (AI) engineers and also data scientists. Here I wan to clarify this issue. Do you have labeled or unlabeled data?

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Dataconomy

FEBRUARY 24, 2023

Nowadays, almost everyone wants to learn how to use AI, and it would be quite wrong to say that these requests are unreasonable. In 2022, the AI market was worth an estimated $70.9 Naturally, AI experts will get the biggest slice of the pie and the need for AI expertise is rising rapidly along with the field itself.

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Gaugarin Oliver Originally published on Towards AI. This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI).

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Heartbeat

MAY 22, 2023

Photo by Andrea Piacquadio: [link] Computer vision is one of the most widely used and evolving fields of AI. It gives the computer the ability to observe and learn from visual data just like humans. and applies this learning tosolving problems. How AI-based emotion analysis works? Curious to see how Comet works?

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions.

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Pickl AI

JULY 14, 2023

Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Therefore, AI has been evolving since years now and is currently at its peak of development. AI has been disrupting every industry in the world today and will supposedly make larger swings in the next 5 years.

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Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. How to create an artificial intelligence?

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

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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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IBM Journey to AI blog

JULY 6, 2023

What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Machine learning can then “learn” from the data to create insights that improve performance or inform predictions.

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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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Towards AI

APRIL 11, 2023

Last Updated on April 12, 2023 by Editorial Team Author(s): Surya Maddula Originally published on Towards AI. Support Vector Machines (SVMs) are another ML models that can be used for HDR. ANNs consist of layers of interconnected nodes, which process and transmit information.

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Towards AI

APRIL 14, 2023

Last Updated on April 17, 2023 by Editorial Team Author(s): Kevin Berlemont, PhD Originally published on Towards AI. Photo by Artem Maltsev on Unsplash Who hasn’t been on Stack Overflow to find the answer to a question?

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Pickl AI

AUGUST 1, 2023

The model learns to map input features to the correct output by minimizing the error between its predictions and the actual target values. Examples of supervised learning models include linear regression, decision trees, support vector machines, and neural networks. The post How to build a Machine Learning Model?

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Mlearning.ai

JUNE 14, 2023

LLM Learning MindMap: Lucidspark Learning Large Language Models Here is a print friendly view of all the resources. Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube

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Pickl AI

AUGUST 28, 2024

Examples include Logistic Regression, Support Vector Machines (SVM), Decision Trees, and Artificial Neural Networks. Random Forests Random Forests are an ensemble learning method that combines multiple Decision Trees to improve the accuracy and robustness of the model. They can handle non-linear data using kernel tricks.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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IBM Journey to AI blog

DECEMBER 19, 2023

Unsupervised learning Unsupervised learning techniques do not require labeled data and can handle more complex data sets. Unsupervised learning is powered by deep learning and neural networks or auto encoders that mimic the way biological neurons signal to each other.

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Dataconomy

AUGUST 9, 2023

While network traffic analysis has traditionally involved many careful steps but today AI and ML applications have both accelerated and simplified this process ( Image credit ) Network traffic analysis is traditionally a multi-stage and complicated process.

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ODSC - Open Data Science

JANUARY 5, 2024

With the explosion of AI across industries TensorFlow has also grown in popularity due to its robust ecosystem of tools, libraries, and community that keeps pushing machine learning advances. As expected with the rise of AI, machine learning libraries and data science-focused libraries will become the most popular ones of 2023.

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ODSC - Open Data Science

JANUARY 7, 2025

Deep Learning Deep learning is a cornerstone of modern AI, and its applications are expanding rapidly. Natural Language Processing (NLP) has emerged as a dominant area, with tasks like sentiment analysis, machine translation, and chatbot development leading the way.

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Pickl AI

AUGUST 1, 2023

Machine Learning algorithms, including Naive Bayes, Support Vector Machines (SVM), and deep learning models, are commonly used for text classification. Gather a dataset of customer support tickets with different categories, such as billing, technical issues, or product inquiries.

Data Analysis 52

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IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

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Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.

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Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

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Pickl AI

NOVEMBER 28, 2024

Without linear algebra, understanding the mechanics of Deep Learning and optimisation would be nearly impossible. Support Vector Machines (SVM) SVMs are powerful classifiers that separate data into distinct categories by finding an optimal hyperplane. Neural networks are the foundation of Deep Learning techniques.

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