Data Science Dojo

NOVEMBER 5, 2024

By working on real datasets and deploying applications on platforms like Azure and Hugging Face, you will gain valuable practical experience that reinforces your learning. You get a chance to work on various projects that involve practical exercises with vector databases, embeddings, and deployment frameworks.

Data Science 195

Data Science Azure Natural Language Processing Database 195

AWS Machine Learning Blog

DECEMBER 20, 2023

Whether logs are coming from Amazon Web Services (AWS), other cloud providers, on-premises, or edge devices, customers need to centralize and standardize security data. SageMaker supports two built-in anomaly detection algorithms: IP Insights and Random Cut Forest. Subscribe an AWS Lambda function to the SQS queue.

AWS 118

AWS ML ML Algorithm 118

Towards AI

JANUARY 6, 2025

Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Build expertise in computer vision, clustering algorithms, deep learning essentials, multi-agent reinforcement, DQN, and more. You must bring a basic understanding of linear algebra, calculus, and Python to build strength in ML algorithms, […]

Artificial Intelligence 82

Artificial Intelligence Artificial Intelligence AI AI 82

Pickl AI

DECEMBER 26, 2024

The cloud also offers distributed computing capabilities, enabling faster processing of complex algorithms across multiple nodes. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Women in Big Data

NOVEMBER 27, 2024

Decide between cloud-based solutions, such as AWS Redshift or Google BigQuery, and on-premises options, while considering scalability and whether a hybrid approach might be beneficial. How to Choose a Data Warehouse for Your Big Data Choosing a data warehouse for big data storage necessitates a thorough assessment of your unique requirements.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

APRIL 18, 2023

Amazon Kendra uses ML algorithms to enable users to use natural language queries to search for information scattered across multiple data souces in an enterprise, including commonly used document storage systems like Microsoft OneDrive. An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

AWS 74

AWS Azure Machine Learning Machine Learning 74

Dataconomy

JUNE 16, 2023

If you wonder about Gamma integrations, here is a full list: Gmail Slack Mattermost Outlook GitHub Microsoft Teams Jira Dropbox Box AWS Confluence OneDrive Drive Salesforce Azure Cybersecurity is one of the most important things to consider on the internet ( Image Credit ) Is Gamma AI safe to use? They are knowledgeable and precise.

AI 193

AI AI Natural Language Processing Data Classification 193

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously.

AWS 89

AWS ML ML Clustering 89

Smart Data Collective

AUGUST 2, 2022

Automotive OEMs and top automotive software companies can work together to build resilient software development processes with sophisticated AI algorithms that allow them to innovate, meet growing customer needs for infotainment systems, and monetize new business models.

AI 129

AI AI Artificial Intelligence Artificial Intelligence 129

Applied Data Science

FEBRUARY 7, 2022

Pay for a Cloud provider’s API, such as Google’s, AWS, or on Azure. docker run -t -i -p 5000:5000 -v "${PWD}/data:/data" osrm/osrm-backend osrm-routed --algorithm mld /data/greater-london-latest.osrm Then you can use curl, Python, or any programming language, to calculate the distance between two pairs of coordinates.

Data Science 130

Data Science Azure AWS Python 130

DagsHub

JULY 25, 2024

TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In finance, it's applied for fraud detection and algorithmic trading. Notable Use Cases TensorFlow is widely used in various industries. In 2011, H2O.ai Documentation H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

MAY 5, 2023

Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. Microsoft Azure As one of the most popular data science cloud options, Microsoft Azure is designed for AI. Azure is also compatible with its massive library of other services as well.

Data Science 52

Data Science Data Engineering Data Engineering Data Engineering 52

Towards AI

MARCH 3, 2024

Your algorithms hum with anticipation, your visualizations shimmer with insight, and you’re teetering on the edge of something truly remarkable. Ah, the wild world of data science and machine learning, where algorithms roam free, and models hold the keys to unlocking the mysteries of the universe. Executes any necessary setup (e.g.

Data Science 100

Data Science Python Algorithm Azure 100

DrivenData Labs

NOVEMBER 14, 2023

VIIRS is similar to MODIS, and its snow cover and sea ice algorithms are designed to be the newer continuation of MODIS data. VIIRS has higher spatial resolution for certain spectral bands, while MODIS has higher resolution for others. For example, VIIRS has higher resolution for the thermal bands that are useful for detecting forest fires.

Python 163

Python AWS Azure Data Analysis 163

Becoming Human

MAY 15, 2023

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Data Science Connect

JULY 26, 2023

Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are leveraging their extensive cloud infrastructure to create edge computing solutions. Edge AI involves deploying AI algorithms and models directly on edge devices, eliminating the need to transmit data to centralized servers.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Towards AI

APRIL 4, 2023

This has empowered teams to quickly create and optimize models and algorithms that run at peak performance on any edge device. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

ML 94

ML ML Python Machine Learning 94

Dataconomy

APRIL 10, 2023

What is IIoT: IIoT systems use advanced analytics and machine learning algorithms to analyze data The benefits of IIoT The Industrial Internet of Things (IIoT) is transforming the way that industrial organizations operate, offering a wide range of benefits and opportunities for businesses of all sizes.

Internet of Things 103

Internet of Things Azure Analytics Analytics 103

ODSC - Open Data Science

FEBRUARY 17, 2023

NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job. AWS Cloud, Azure Cloud, and others are all compatible with many other frameworks and languages, making them necessary for any NLP skill set. Google Cloud is starting to make a name for itself as well.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Dataconomy

MARCH 13, 2023

Algorithms:  AI algorithms are used to process the data and extract insights from it. There are several types of AI algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Develop AI models using machine learning or deep learning algorithms.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Mlearning.ai

APRIL 28, 2023

Algorithm optimization The choice of algorithm can have a significant impact on the performance of the code. AI developers can optimize the algorithms used in their machine learning models to make them more efficient. Some algorithms perform better than others on certain types of data.

ML 52

ML ML Python Machine Learning 52

O'Reilly Media

NOVEMBER 26, 2024

Examples of these skills are artificial intelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. For example in Topic 1, the skills “AWS” and “cloud” map to the job titles cloud engineer, AWS solutions architect, and technology consultant.

Cloud Computing 80

Cloud Computing AWS Azure Machine Learning 80

The MLOps Blog

MARCH 23, 2023

Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud. Cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform offer a range of options for deploying LLMs, including virtual machines, containers, and serverless computing.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. Below, we explore some of the most widely used algorithms in ML.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

APRIL 27, 2023

Even post, this data needs to be collated in such a way that it is easy to consume inside the AI ML training engine such as AWS Sagemaker, GCP vertex AI, Azure ML, or even Jupyter Notebook on your VMs, etc. for eg, I can ask DALLE-2 to generate new images for me with some simple text prompts. It's a new need now.

Data Preparation 79

Data Preparation ML ML AI 79

Becoming Human

MAY 11, 2023

The data must be checked for errors and inconsistencies and transformed into a format suitable for use in machine learning algorithms. This involves selecting the appropriate algorithms, training the models on the data, and testing their accuracy and performance.

Machine Learning 78

Machine Learning Machine Learning Cloud Computing DataOps 78

Smart Data Collective

MAY 19, 2021

With the greater availability of cloud-based infrastructure solutions including AWS IoT and Azure IoT hub, and cloud computing consulting services that can provide valuable insights for implementing and using cloud services, smart home startups no longer have to code advanced data acquisition, archiving, and analytics modules from scratch.

AI 109

AI AI Analytics Analytics 109

Dataconomy

APRIL 10, 2023

What is IIoT: IIoT systems use advanced analytics and machine learning algorithms to analyze data The benefits of IIoT The Industrial Internet of Things (IIoT) is transforming the way that industrial organizations operate, offering a wide range of benefits and opportunities for businesses of all sizes.

Internet of Things 79

Internet of Things Azure Analytics Analytics 79

phData

JULY 5, 2024

Pinecone and Weaviate are popular managed vector database platforms that can efficiently scale to handle billions of documents and return relevant embeddings using an approximate nearest neighbor (ANN) algorithm. Chroma is a popular open-source vector database with an ANN algorithm; however, it currently does not support hybrid search.

AI 52

AI AI Database AWS 52

Pickl AI

DECEMBER 25, 2024

Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Its focus lies in building advanced algorithms and leveraging large datasets to answer questions like “what will happen?” ” and “what should be done?”

Data Science 52

Data Science Analytics Analytics Data Scientist 52

IBM Journey to AI blog

JANUARY 29, 2024

Another is augmented reality technology that uses algorithms to mimic digital information and understand a physical environment. The AI technology drives innovation to smart products and a more pointed focus on customer and user experience. An example is machine learning, which enables a computer or machine to mimic the human mind.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Internet of Things AWS 85

IBM Journey to AI blog

AUGUST 12, 2024

Primary activities AIOps relies on big data-driven analytics , ML algorithms and other AI-driven techniques to continuously track and analyze ITOps data. The process includes activities such as anomaly detection, event correlation, predictive analytics, automated root cause analysis and natural language processing (NLP).

Big Data 106

Big Data Big Data ML ML 106

Mlearning.ai

MAY 23, 2023

Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Check this course to upskill on AWS —  [link] Domain Knowledge Having expertise in a specific industry domain, such as finance, healthcare, or marketing, can be advantageous.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52