IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. What is machine learning?

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 12, 2024

Here are a few of the key concepts that you should know: Machine Learning (ML) This is a type of AI that allows computers to learn without being explicitly programmed. Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data.

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Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

AWS Machine Learning Blog

OCTOBER 30, 2024

Solution overview In this post, we demonstrate how to fine-tune a sentence transformer with Amazon product data and how to use the resulting sentence transformer to improve classification accuracy of product categories using an XGBoost decision tree. Kara is passionate about innovation and continuous learning.

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Machine Learning Machine Learning AWS Data Scientist 80

Heartbeat

SEPTEMBER 13, 2023

Cynthia Rudin, a computer science professor at Duke University, emphasized the difference between interpretability and explainability. The scholar, in her work , opines that: Interpretability is about understanding how the model works, whereas explainability involves providing justifications for specific predictions or decisions.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Chatbots Life

SEPTEMBER 11, 2023

Natural Language Processing (NLP) is an interdisciplinary field that combines the expertise of linguistics, computer science, and artificial intelligence to enable computers to process and comprehend human language. Grammar Checker Limitation of grammar checker as follows.

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Pickl AI

NOVEMBER 5, 2024

It combines various techniques from statistics, mathematics, computer science, and domain expertise to interpret complex data sets. AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Mlearning.ai

APRIL 15, 2023

The index one will extract the second element because in computer science we always start from 0 for counting the elements of a list. Trees Hierarchical structures are important for Machine Learning for the creation of Decision trees (I will talk about it soon if we are lucky).

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Algorithm Python Decision Trees Computer Science 52

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence.

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Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Dataconomy

MARCH 13, 2023

How to create an artificial intelligence: Building accurate and efficient AI systems requires selecting the right algorithms and models that can perform the desired tasks effectively Developing AI Developing AI involves a series of steps that require expertise in several fields, such as data science, computer science, and engineering.

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