Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Flipboard

FEBRUARY 7, 2025

This post shows you how to set up RAG using DeepSeek-R1 on Amazon SageMaker with an OpenSearch Service vector database as the knowledge base. Complete the following steps: On the OpenSearch Service console, choose Dashboard under Managed clusters in the navigation pane. Choose your domains dashboard.

Database 86

Database AWS Python ML 86

Flipboard

NOVEMBER 16, 2024

The power and performance of this framework are demonstrated for three conceptually very different classes of interatomic potentials: an empirical potential (embedded atom method - EAM), neural networks (high-dimensional neural network potentials - HDNNP) and expansions in basis sets (atomic cluster expansion - ACE).

Machine Learning 86

Machine Learning Machine Learning Clustering Database 86

Data Science Dojo

AUGUST 18, 2023

They are typically trained on clusters of computers or even on cloud computing platforms. LlamaIndex can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases. Vector databases Vector databases are a type of database that is optimized for storing and querying vector data.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Smart Data Collective

NOVEMBER 8, 2020

Forging a Career Path in the Field of Data Science. With advancing technology, the data science space is rapidly evolving. Unlike the old days where data was readily stored and available from a single database and data scientists only needed to learn a few programming languages, data has grown with technology. and globally.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

AUGUST 30, 2024

Training involved a dataset of over 15 trillion tokens across two GPU clusters, significantly more than Meta Llama 2. Solution overview The demand for using LLMs to improve Text-to-SQL queries is growing more important because it enables non-technical users to access and query databases using natural language.

SQL 95

SQL AWS Database AI 95

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster.

ML 123

ML ML AWS Data Warehouse 123

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Query innovation.

Tableau 145

Tableau ML ML Database 145

PyImageSearch

MAY 19, 2025

Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. exceptions.InsecureRequestWarning) def perform_search(query_text, model_id): """ Perform a search operation using the neural query on the OpenSearch cluster. Or requires a degree in computer science?

K-nearest Neighbors 91

K-nearest Neighbors AWS Deep Learning Deep Learning 91

Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

PyImageSearch

JANUARY 9, 2023

Note that this entails a simple way multi-class classification problem for a database with personnel (here, persons or classes). In case of verification, we pre-extract and store the feature representation for all face images in our database, as shown. Figure 3: Face Verification (source: image by the author).

Deep Learning 104

Deep Learning Deep Learning Database Algorithm 104

AWS Machine Learning Blog

AUGUST 9, 2024

It uses a vector database structure to efficiently store and query large volumes of data. OpenSearch Service currently has tens of thousands of active customers with hundreds of thousands of clusters under management processing hundreds of trillions of requests per month.

AWS 134

AWS Database AI AI 134

AWS Machine Learning Blog

FEBRUARY 25, 2025

SVM-based classifier: Amazon Titan Embeddings In this scenario, it is likely that user interactions belonging to the three main categories ( Conversation , Services , and Document_Translation ) form distinct clusters or groups within the embedding space. This doesnt imply that clusters coudnt be highly separable in higher dimensions.

Algorithm 90

Algorithm Machine Learning Machine Learning K-nearest Neighbors 90

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

OCTOBER 17, 2024

Introduction Hash functions are crucial in computer science and cryptography. Hash functions are essential tools in computer science and information security. Even if a database compromised, attackers cannot retrieve original passwords from hashes. They convert data into fixed-size outputs.

Clustering 52

Clustering Algorithm Computer Science Computer Science 52

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Query innovation.

Tableau 98

Tableau ML ML Database 98

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research). Data Factory 2.

Azure 52

Azure SQL Database Python 52

AWS Machine Learning Blog

JANUARY 20, 2023

The notifications Lambda will get the information related to the prediction ID from DynamoDB, update the entry with status value to “completed” or “error,” and perform the necessary action depending on the callback mode saved in the database record. Daniel Suarez is a Data Science Engineer at CCC Intelligent Solutions.

AWS 96

AWS AI AI Computer Science 96

O'Reilly Media

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Architecture.

ML 145

ML ML Data Scientist AWS 145

Pickl AI

JULY 12, 2024

Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language. Computer Vision This is a field of computer science that deals with the extraction of information from images and videos.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

AWS Machine Learning Blog

JANUARY 13, 2023

This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients.

AWS 102

AWS Analytics Analytics Machine Learning 102

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. The State of AI Report gives the size and owners of the largest A100 clusters, the top few being Meta with 21,400, Tesla with 16,000, XTX with 10,000, and Stability AI with 5,408.

AWS 120

AWS ML ML Clustering 120

DrivenData Labs

DECEMBER 10, 2023

or GPT-4 arXiv, OpenAlex, CrossRef, NTRS lgarma Topic clustering and visualization, paper recommendation, saved research collections, keyword extraction GPT-3.5 I had some expirience working with vector databases and topic modeling, and recognized the oportunity. bge-small-en-v1.5 What motivated you to compete in this challenge?

AI 147

AI AI Natural Language Processing Artificial Intelligence 147

Dataconomy

MARCH 13, 2023

Data can be collected from various sources, such as databases, sensors, or the internet. This data could be in the form of structured data (such as data in a database) or unstructured data (such as text, images, or audio). Algorithms: Algorithms are used to develop AI models that can learn from data and make predictions or decisions.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Pickl AI

DECEMBER 3, 2024

The publicly available repository offers datasets for various tasks, including classification, regression, clustering, and more. The UCI connection lends the repository credibility, as it is backed by a leading academic institution known for its contributions to computer science and artificial intelligence research.

Machine Learning 52

Machine Learning Machine Learning Clustering Supervised Learning 52

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Algorithm 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

PyImageSearch

SEPTEMBER 30, 2024

Orchestration Tools: Kubernetes, Docker Swarm Purpose: Manages the deployment, scaling, and operation of application containers across clusters of hosts. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

Python 112

Python Deep Learning Deep Learning AWS 112

Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

AWS Machine Learning Blog

MAY 24, 2023

Finally, we store these vectors in a vector database for similarity search. As an alternative, you can use FAISS , an open-source vector clustering solution for storing vectors. One of the key features is its ability to interface with external sources of information, such as the web, databases, and APIs.

AI 98

AI AI AWS ML 98

Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group. sequence protein database with annotations.

ML 72

ML ML Deep Learning Deep Learning 72

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. SQL is indispensable for database management and querying. Knowledge of supervised and unsupervised learning and techniques like clustering, classification, and regression is essential.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

We serve developers and enterprises of all sizes through AWS, which offers a broad set of global compute, storage, database, and other service offerings. The post used models pre-trained on data obtained from the SEC EDGAR database. We also manufacture and sell electronic devices.

ML 97

ML ML Deep Learning Deep Learning 97

DrivenData Labs

DECEMBER 11, 2024

A number of breakthroughs are enabling this progress, and here are a few key ones: Compute and storage - The increased availability of cloud compute and storage has made it easier and cheaper to get the compute resources organizations need. Deep learning - It is hard to overstate how deep learning has transformed data science.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

AWS Machine Learning Blog

APRIL 18, 2023

We serve developers and enterprises of all sizes through AWS, which offers a broad set of global compute, storage, database, and other service offerings. The post used models pre-trained on data obtained from the SEC EDGAR database. We also manufacture and sell electronic devices.

ML 52

ML ML Deep Learning Deep Learning 52