Data Science Blog

FEBRUARY 23, 2023

Those researches are often conducted on easily available benchmark datasets which you can easily download, often with corresponding ground truth data (label data) necessary for training. 7, Dealing with lack of labels in a single domain In many cases, data themselves are easily available, and only annotations costs matter.

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O'Reilly Media

SEPTEMBER 19, 2023

A basic, production-ready cluster priced out to the low-six-figures. A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Plus there was all of the infrastructure to push data into the cluster in the first place. Goodbye, Hadoop. And it was good.

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Pickl AI

OCTOBER 22, 2024

It enables fast, efficient full-text search, real-time Data Analysis , and scalable data retrieval across large datasets. Known for its speed and flexibility, Elasticsearch is widely used in applications where quick access to data is critical, such as e-commerce search, log analysis, and Business Intelligence.

Clustering 52

Clustering Data Analysis Data Analysis Database 52

Towards AI

JUNE 27, 2023

Scikit Learn Scikit Learn is a comprehensive machine learning tool designed for data mining and large-scale unstructured data analysis. With an impressive collection of efficient tools and a user-friendly interface, it is ideal for tackling complex classification, regression, and cluster-based problems.

Machine Learning 98

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Dataconomy

APRIL 27, 2023

Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

AWS Machine Learning Blog

APRIL 16, 2024

The output of a query can be displayed directly within the notebook, facilitating seamless integration of SQL and Python workflows in your data analysis. For Secret type , choose Credentials for Amazon Redshift cluster. Enter the credentials used to log in to access Amazon Redshift as a data source.

SQL 124

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Pickl AI

JULY 28, 2023

A well-organized portfolio demonstrates your ability to work with data and draw valuable insights. Here are the steps to build an impressive data analyst portfolio: Select Relevant Projects: Choose a variety of data analysis projects that highlight your skills and cover different aspects of data analysis.

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Data Analyst Data Analysis Data Analysis Data Visualization 52

Towards AI

JUNE 3, 2024

BERT is a state-of-the-art algorithm designed by Google to process text data and convert it into vectors ([link]. These can then by analyzed by other models (classification, clustering, etc) to produce different analyses. Join thousands of data leaders on the AI newsletter. to_numpy()y_subset = subset['rating'].to_numpy()x_finaleval

Clustering 77

Clustering Algorithm Data Analysis Data Analysis 77

PyImageSearch

JUNE 19, 2023

By the end of the lesson, readers will have a solid grasp of the underlying principles that enable these applications to make suggestions based on data analysis. Figure 8: K-nearest neighbor algorithm (source: Towards Data Science ). Several clustering algorithms (e.g., ✓ Access on mobile, laptop, desktop, etc.

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K-nearest Neighbors Clustering Algorithm Deep Learning 57

AWS Machine Learning Blog

APRIL 5, 2023

You use pandas to load the metadata, then select products that have US English titles from the data frame. Pandas is an open-source data analysis and manipulation tool built on top of the Python programming language. data/images' local_file_name = Path(s3_path).name We use the first metadata file in this demo.

ML 111

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Pickl AI

JUNE 7, 2023

Analysing Netflix Movies and TV Shows One of the most enticing real-world Data Science projects Github can include the project focusing to analyse Netflix movies and TV shows. Using Netflix user data, you need to undertake Data Analysis for running workflows like EDA, Data Visualisation and interpretation.

Data Science 52

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phData

NOVEMBER 28, 2024

Each function provides a unique perspective on similarity, supporting diverse applications in data analysis and machine learning. VECTOR_COSINE_SIMILARITY – evaluates the cosine of the angle between vectors, focusing on how closely aligned they are in the direction. For more details, refer to Vector similarity functions.

Python 52

Python Database SQL Machine Learning 52

Mlearning.ai

AUGUST 10, 2023

Reporting Data In this section, we have to download, connect and analyze the data on PowerBI. Therefore, for the sake of brevity, we have to download the file brand_cars_dashboard.pbix from the project’s GitHub repository. Figure 11: Project’s GitHub Now, we have to click on the icon of “download”.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Pickl AI

NOVEMBER 5, 2024

These courses introduce you to Python, Statistics, and Machine Learning , all essential to Data Science. Starting with these basics enables a smoother transition to more specialised topics, such as Data Visualisation, Big Data Analysis , and Artificial Intelligence. Ensure the course fits your schedule and learning style.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Mlearning.ai

MAY 19, 2023

This is particularly advantageous in applications requiring long-term context retention, such as storytelling, documentation, or large-scale data analysis. This approach offers several benefits, including the elimination of the need to download the entire dataset before commencing training. This model was trained with 5B tokens.

ML 52

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AWS Machine Learning Blog

MAY 16, 2024

When the preprocessing batch was complete, the training/test data needed for training was partitioned based on runtime and stored in Amazon S3. You can do this by passing the PyTorch Estimator you defined earlier as an argument and the location of the input data.

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ODSC - Open Data Science

DECEMBER 9, 2024

SciKit-Learn : A popular machine learning library with consistent APIs for regression, classification, clustering, dimensionality reduction, and model selection techniques. This allows iterative data analysis workflows rather than rigid scripts. This communal ethos ultimately empowers grassroots innovation.

Data Science 40

Data Science Python Machine Learning Machine Learning 40

DagsHub

OCTOBER 23, 2024

Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. The PartitionerConfig is used to configure how we wish to transform our unstructured data.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

DagsHub

SEPTEMBER 16, 2024

Moreover, You can download the chart or list of values of any metric you need from Neptune dashboard. Yellowbrick offers a variety of visualizers for different machine-learning tasks, including classification, regression, clustering, and model selection. Now, you can visualize the model metrics on the Naptune.ai

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Flipboard

MAY 7, 2025

The original Chronos model quickly became the number #1 most downloaded model on Hugging Face in 2024, demonstrating the strong demand for FMs in time series forecasting. He received a PhD from Saarland University, Germany, doing research in spectral clustering for signed and multilayer graphs.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

We begin with the data analysis phase and progress through the end-to-end process, covering fine-tuning, deployment, and evaluation. Data analysis and preparation on SageMaker Studio When you’re fine-tuning LLMs, the quality and composition of your training data are crucial (quality over quantity).

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Pickl AI

DECEMBER 2, 2024

Download it from the official Python website. Dynamic Customer Segmentation Retailers employ TabPy for dynamic clustering of customer data, enabling real-time segmentation based on purchasing behaviour.

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Tableau Analytics Analytics Python 52