Data Science Dojo

AUGUST 19, 2024

These professionals venture into new frontiers like machine learning, natural language processing, and computer vision, continually pushing the limits of AI’s potential. This is used for tasks like clustering, dimensionality reduction, and anomaly detection. What are some emerging AI applications that excite you?

AI 195

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Pickl AI

JULY 12, 2024

Deep Learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, Natural Language Processing, and speech recognition. Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language.

Artificial Intelligence 52

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Dataconomy

JUNE 29, 2023

These packages offer a wide range of functionalities, algorithms, and tools that simplify the process of creating and training machine learning models. These packages are built to handle various aspects of machine learning, including tasks such as classification, regression, clustering, dimensionality reduction, and more.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Pickl AI

SEPTEMBER 17, 2024

Clustering algorithms, such as K-Means and DBSCAN, are common examples of unsupervised learning techniques. Transfer learning can significantly reduce the time and resources required to train a model from scratch and has applications in areas such as computer vision and natural language processing.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Clustering and dimensionality reduction are common tasks in unSupervised Learning. For example, clustering algorithms can group customers by purchasing behaviour, even if the group labels are not predefined. customer segmentation), clustering algorithms like K-means or hierarchical clustering might be appropriate.

Machine Learning 52

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Pickl AI

SEPTEMBER 18, 2024

Tech companies, they might focus on developing recommendation systems, fraud detection algorithms, or Natural Language Processing tools. offer specialised Machine Learning and Artificial Intelligence courses covering Deep Learning , Natural Language Processing, and Reinforcement Learning.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset. NLP enables machines to understand and interpret text and speech.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52