ODSC - Open Data Science

JANUARY 26, 2023

Deep learning is one of the most crucial tools for analyzing massive amounts of data. However, there is such a prospect as too much information, as deep learning’s job is to find patterns and connections between data points to inform humanity’s questions and affirm assertions.

Deep Learning 59

Deep Learning Deep Learning Data Scientist Internet of Things 59

Data Science Blog

JUNE 30, 2023

On own account, we from DATANOMIQ have created a web application that monitors data about job postings related to Data & AI from multiple sources (Indeed.com, Google Jobs, Stepstone.de

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Data Engineering Data Engineering Data Engineer Data Engineering 130

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Deep Learning.

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Towards AI

JANUARY 6, 2025

Artificial Intelligence graduate certificate by STANFORD SCHOOL OF ENGINEERING Artificial Intelligence graduate certificate; taught by Andrew Ng, and other eminent AI prodigies; is a popular course that dives deep into the principles and methodologies of AI and related fields. Generative AI with LLMs course by AWS AND DEEPLEARNING.AI

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Artificial Intelligence Artificial Intelligence AI AI 105

Towards AI

JUNE 27, 2023

For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages. However, the rapid evolution of these machine learning tools also presents a challenge for developers.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

IBM Journey to AI blog

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research. Morgan and Spotify.

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AI AI Deep Learning Deep Learning 82

Towards AI

MAY 3, 2023

Storing past ML insights to guide decision making Machine learning and deep learning models transform unstructured data into numerical vectors called embeddings. Vector databases can store them and are designed for search and data mining.

ML 95

ML ML Machine Learning Machine Learning 95

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. Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models.

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Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

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Machine Learning Machine Learning Data Science Big Data 70

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. What is text mining? And with advanced software like IBM Watson Assistant , social media data is more powerful than ever.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

Pickl AI

SEPTEMBER 23, 2024

AI is making a difference in key areas, including automation, language processing, and robotics. Natural Language Processing: NLP helps machines understand and generate human language, enabling technologies like chatbots and translation.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

AWS Machine Learning Blog

JANUARY 13, 2023

At the application level, such as computer vision, natural language processing, and data mining, data scientists and engineers only need to write the model, data, and trainer in the same way as a standalone program and then pass it to the FedMLRunner object to complete all the processes, as shown in the following code.

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AWS Analytics Analytics Machine Learning 106

Pickl AI

AUGUST 1, 2023

Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? Text mining is also known as text analytics or Natural Language Processing (NLP). Visualize the sentiment distribution and analyze trends and patterns in the data.

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Pickl AI

SEPTEMBER 11, 2024

Specialised Knowledge One key advantage of pursuing a master’s degree in Data Science is the ability to acquire specialised knowledge. Unlike a bachelor’s program, which provides a broad overview, a master’s program delves deep into specific areas such as predictive analytics, natural language processing, or Artificial Intelligence.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

MAY 24, 2023

Uses: The primary use for the Scikit-Learn emphasises on the implementation of standard machine learning tasks and data mining tasks that contains high number of algorithms. NumPy NumPy is one of the most popular Python Libraries for Machine Learning in Python.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

ODSC - Open Data Science

DECEMBER 19, 2024

Unlike traditional CI tools that require manual input and analysis, Agentic Systems automate these processes, allowing businesses to access real-time insights without the need for continuous human oversight. This data collection is not limited to text; it can include images, videos, and audiocontent.

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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. You can learn more about the usage of the package here install.packages("tidytext") Application areas for topic modeling are numerous.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

DrivenData Labs

DECEMBER 11, 2024

Deep learning - It is hard to overstate how deep learning has transformed data science. Having applied approaches in one context makes it easier (and cheaper) to bring them to bear on another, building on the experience and lessons learned along the way.

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Data Science Data Scientist Machine Learning Machine Learning 147

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 17, 2023

Singular Value Decomposition: Singular Value Decomposition (SVD) is a matrix factorization technique that decomposes a matrix into three separate matrices, allowing us to extract valuable insights and reduce the dimensionality of the data. Unsupervised learning has advantages in exploratory data analysis, pattern recognition, and data mining.

Machine Learning 52

Machine Learning Machine Learning Clustering K-nearest Neighbors 52

Pickl AI

MARCH 7, 2024

PyTorch Functionality: PyTorch is an open-source machine learning library for Python developed by Facebook’s AI research group. Applications: PyTorch is widely used for building deep learning models, including neural networks for image classification, natural language processing, and reinforcement learning.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Data Science Blog

MAY 22, 2023

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. Diese Funktion der Datenbank spielt seinen Vorteil insbesondere bei vielen Dimensionen aus, wie sie Text- und Bild-Daten haben.

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