Towards AI

FEBRUARY 23, 2024

Clustering in Machine Learning stands as a fundamental unsupervised learning task, different from its supervised counterparts due to the lack of labeled data. As… Read the full blog for free on Medium.

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Pickl AI

JANUARY 29, 2024

Join me on this journey as we unravel the intricacies of 2024’s tech revolution, exploring the realms of data, intelligence, and the opportunity for growth, including a special mention of a free Machine Learning course. AI refers to developing machines capable of performing tasks that require human intelligence.

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Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. But does that mean artificial intelligence is perfect? With the model selected, the initialization of parameters takes place.

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Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence. What is an AI model?

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Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence. What is an AI model?

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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.

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Dataconomy

JUNE 13, 2023

Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms. What is decision intelligence?

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Dataconomy

FEBRUARY 16, 2024

As far as technological advancements go, Artificial Intelligence (AI) has undoubtedly been one of the greatest. Ranging from voice synthesis, image analysis, sentiment analysis, expert systems, and other novel creations, AI is transforming the workflow of the world using its prowess in numerous fields.

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Mlearning.ai

FEBRUARY 17, 2023

A complete explanation of the most widely practical and efficient field, that nowadays has an impact on every industry Photo by Thomas T on Unsplash Machine learning has become one of the most rapidly evolving and popular fields of technology in recent years. Reward(1) or punishment(0).

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Pickl AI

JULY 14, 2023

Artificial Intelligence has been able to gain immense momentum today and is transforming every industry in the world. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

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ODSC - Open Data Science

FEBRUARY 13, 2023

How Deep Neural Networks Work and How We Put Them to Work at Facebook Deep learning is the technology driving today’s artificial intelligence boom. Machine Learning for Beginners Learn the essentials of machine learning including how Support Vector Machines, Naive Bayesian Classifiers, and Upper Confidence Bound algorithms work.

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Becoming Human

MARCH 16, 2023

How AI is applied Artificial Intelligence covers various technologies and approaches that involve using sophisticated computational methods to mimic elements of human intelligence such as visual perception, speech recognition, decision-making, and language understanding. And that’s where AI drug discovery could play a role.

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Towards AI

APRIL 27, 2023

Support Vector Machines: In support vector machines, gradient descent is used to find the optimal hyperplane that separates the data into different classes with maximum margins. Recommender Systems: In recommender systems, gradient descent is used to optimize […]

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Smart Data Collective

JUNE 7, 2019

Machine learning is playing a very important role in improving the functionality of task management applications. Appreciating the Machine Learning Technology Behind Modern Task Management Software. Support Vector Machines (SVM). In January, Towards Data Science published an article on this very topic. “In

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Towards AI

JULY 20, 2023

This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). It’s for these reasons that practically everyone involved has a vested interest in SLR automation. This study by Bui et al.

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IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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IBM Journey to AI blog

DECEMBER 20, 2023

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. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

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Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Support Vector Machine Classification algorithm makes use of a multidimensional representation of the data points.

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Mlearning.ai

APRIL 6, 2023

For larger datasets, more complex algorithms such as Random Forest, Support Vector Machines (SVM), or Neural Networks may be more suitable. For datasets with only two classes , algorithms such as Logistic Regression or Support Vector Machines can be used.

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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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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

AUGUST 9, 2023

But as in every aspect of our lives, Machine Learning algorithms and artificial intelligence help us in network traffic analysis. How could machine learning be used in network traffic analysis? Some common algorithms include: Random Forest : This ensemble learning algorithm is effective for classification tasks.

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Towards AI

APRIL 11, 2023

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. ANNs can be trained to recognize patterns in the numerical features extracted from digit images.

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Heartbeat

APRIL 17, 2023

NRE is a complex task that involves multiple steps and requires sophisticated machine learning algorithms like Hidden Markov Models (HMMs) , Conditional Random Fields (CRFs), and Support Vector Machines (SVMs) be present. synonyms).

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Heartbeat

OCTOBER 25, 2023

The development of explainable and interpretable machine learning models will enhance the trustworthiness of predictions and enable researchers to gain deeper insights into the underlying biological mechanisms.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning.

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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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ODSC - Open Data Science

JANUARY 5, 2024

Scikit-learn is also open-source, which makes it a popular choice for both academic and commercial use.

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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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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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AssemblyAI

MAY 2, 2023

In short, Generative AI refers to any Artificial Intelligence model that generates novel data, information, or documents. For example, Support Vector Machines are not probabilistic, but they are still used for Discriminative AI by finding a decision boundary in the space. What is Generative AI?

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Flipboard

JULY 31, 2023

Brief Background of Machine Learning Did you know that machine learning is a part of artificial intelligence that enables computers to learn from data without explicit programming using statistical techniques? OK, let’s dive into where the various datasets are located to give you a full picture of the dataverse.

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Heartbeat

FEBRUARY 15, 2024

In the ever-evolving realm of artificial intelligence, computer vision is a crucial discipline that enables machines to interpret and glean insights from visual data. One such powerful approach that has proven its worth is the Histogram of Oriented Gradients (HOG). import cv2 # Load pre-trained pedestrian detector hog = cv2.HOGDescriptor()

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Pickl AI

MAY 31, 2023

Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines.

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phData

AUGUST 24, 2023

Various machine learning algorithms can be used for credit scoring and decisioning, including logistic regression, decision trees, random forests, support vector machines, and neural networks. The model learns from these labels to predict the outcome of new, unseen data.

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Heartbeat

MARCH 8, 2023

" "Artificial Intelligence and Society","Artificial intelligence is changing the world as we know it, and its impact on society is complex as most individuals have different views." We will be utilizing the “Naive Bayes” model for our classification training.

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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. Deep neural networks and support vector machines are being explored in developing pre-diabetic screening tools. And that’s exactly what I do.

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