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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

ODSC - Open Data Science

JANUARY 5, 2024

It is easy to use, with a well-documented API and a wide range of tutorials and examples available. Scikit-learn is also open-source, which makes it a popular choice for both academic and commercial use. First, it’s easy to use, the code is easy to learn and it has a well-documented API. It’s also a powerful framework.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

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. This learning process enables the system to make accurate predictions. One such powerful approach that has proven its worth is the Histogram of Oriented Gradients (HOG).

Deep Learning 40

Deep Learning Deep Learning Support Vector Machines ML 40

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. We’re committed to supporting and inspiring developers and engineers from all walks of life.

Natural Language Processing 52

Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

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.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Mlearning.ai

FEBRUARY 15, 2023

Figure 5 Feature Extraction and Evaluation Because most classifiers and learning algorithms require numerical feature vectors with a fixed size rather than raw text documents with variable length, they cannot analyse the text documents in their original form.

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

Pickl AI

DECEMBER 10, 2024

They define the model’s capacity to learn and how it processes data. They vary significantly between model types, such as neural networks , decision trees, and support vector machines. Properly tuning these parameters is essential for building a model that balances complexity and efficiency.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Pickl AI

FEBRUARY 18, 2025

This data needs to be analysed and be in a structured manner whether it is in the form of emails, texts, documents, articles, and many more. Machine Learning Approaches Machine Learning (ML) techniques automate the sentiment classification process by training models on labelled datasets.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Support Vector Machines 52

DagsHub

APRIL 21, 2024

Moving the machine learning models to production is tough, especially the larger deep learning models as it involves a lot of processes starting from data ingestion to deployment and monitoring. It provides different features for building as well as deploying various deep learning-based solutions.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

DECEMBER 23, 2024

Optimized Expert Time Active Learning ensures expert time is spent on cases where their expertise adds the most value. Key Characteristics Static Dataset : Works with a predefined set of unlabeled examples Batch Selection : Can select multiple samples simultaneously for labeling because of which it is widely used by deep learning models.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52

Heartbeat

MARCH 8, 2023

Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content. The goal is to automatically classify documents based on the textual information contained within them. We will be utilizing the “Naive Bayes” model for our classification training.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Mlearning.ai

JUNE 8, 2023

The resulting model can then be used to classify new documents based on their content. Sentence embeddings can also be used in text classification by representing entire sentences as high-dimensional vectors and then feeding them into a classifier. Smaller embedding size.

Machine Learning 52

Machine Learning Machine Learning Clustering Database 52

Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Deep Learning : A subset of Machine Learning that uses Artificial Neural Networks with multiple hidden layers to learn from complex, high-dimensional data.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

AssemblyAI

MAY 2, 2023

In short, Generative AI refers to any Artificial Intelligence model that generates novel data, information, or documents. Generative AI can be used to automatically generate useful documents during or after a meeting Generative AI can be applied in other domains too. What is Generative AI?

AI 129

AI AI Support Vector Machines Artificial Intelligence 129

phData

OCTOBER 21, 2024

In this blog, we discuss LLMs and how they fall under the umbrella of AI and Machine learning. Large Language Models are deep learning models that recognize, comprehend, and generate text, performing various other natural language processing (NLP) tasks. What Are Large Language Models?

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52