Towards AI

APRIL 27, 2023

Gradient descent is widely used in various machine learning models, such as linear regression, logistic regression, and neural networks. It is an essential tool for model training and parameter tuning, and it plays a crucial role in many real-world applications, such as image recognition, natural language processing, and autonomous driving.

Machine Learning 87

Machine Learning Machine Learning Support Vector Machines Algorithm 87

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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Heartbeat

APRIL 17, 2023

Named entity recognition (NER) is a subtask of natural language processing (NLP) that involves automatically identifying and classifying named entities mentioned in a text. Pre-processing: The text is first pre-processed by removing any unnecessary information, such as stop words, and tokenizing the text into individual words.

Natural Language Processing 52

Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

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.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

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.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

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.

Machine Learning 60

Machine Learning Machine Learning Data Science Big Data 60

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification.

Machine Learning 59

Machine Learning Machine Learning Data Mining Data Mining 59

Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. It can be easily ported to multiple platforms.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

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?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

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?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

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. Because of its sensitive nature, managing mental health is more effective when the person receiving care interacts with the healthcare provider.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

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. Thinking about your own AI drug discovery project?

AI 139

AI AI Artificial Intelligence Artificial Intelligence 139

ML Review

MARCH 5, 2019

Modern natural language processing has yielded tools to conduct these types of exploratory search, we just need to apply them to the data from valuable sources, such as ArXiv. How to find similar phrases without knowing what you’re searching for? How to find related papers to your new idea in the forest of GAN papers?

AI 52

AI AI Support Vector Machines Natural Language Processing 52

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.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning Clustering 82

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.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

Heartbeat

MARCH 8, 2023

Source: Author Introduction Text classification, which involves categorizing text into specified groups based on its content, is an important natural language processing (NLP) task. R has a rich set of libraries and tools for machine learning and natural language processing, making it well-suited for spam detection tasks.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Foundations of Statistical Natural Language Processing [M]. Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm. Uysal and Gunal, 2014). Manning C. and Schutze H.,

Cross Validation 52

Cross Validation Decision Trees Natural Language Processing Algorithm 52