Data Science Dojo

JANUARY 13, 2023

The conference features a wide range of topics within AI, including machine learning, natural language processing, computer vision, and robotics, as well as interdisciplinary areas such as AI and law, AI and education, and AI and the arts. It is the only sponsor-free, vendor-free, and recruiter-free data science conference℠.

Data Science 284

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Data Science Dojo

NOVEMBER 3, 2023

Link to channel Eve on Tech Eye on Tech focuses on the latest business technology and IT topics, including AI, DevOps, security, networking, cloud, storage, and more. The channel includes many useful talks like breaking down the generative AI stack, building an AutoGPT, and using Llama 2 70B to rebuild GPT Banker.

Natural Language Processing 221

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Data Science Dojo

NOVEMBER 3, 2023

Link to channel Eve on Tech Eye on Tech focuses on the latest business technology and IT topics, including AI, DevOps, security, networking, cloud, storage, and more. The channel includes many useful talks like breaking down the generative AI stack, building an AutoGPT, and using Llama 2 70B to rebuild GPT Banker.

Natural Language Processing 221

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 221

Hacker News

DECEMBER 5, 2023

Computers collect data about what we’re doing on them, and as both storage and processing have become cheaper, that data is increasingly saved and used. Ask it to search through millions of conversations and organize them by topic, and it’ll do that. Our phones track our locations. Credit cards track our purchases.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

Mlearning.ai

AUGUST 10, 2023

PubSub and Dataflow are solutions for storing newly created data from website/application activity, in either BigQuery or Google Cloud Storage. In this case, we create a service account that has permission to use the following GCP resources: Dataflow, PubSub, Storage, BigQuery, Cloudscheduler, Cloud Run, and Compute.

Power BI 52

Power BI Database Tableau Python 52

Data Science Dojo

NOVEMBER 3, 2023

Link to channel Eve on Tech Eye on Tech focuses on the latest business technology and IT topics, including AI, DevOps, security, networking, cloud, storage, and more. The channel includes many useful talks like breaking down the generative AI stack, building an AutoGPT, and using Llama 2 70B to rebuild GPT Banker.

Natural Language Processing 195

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 195

Mlearning.ai

JANUARY 17, 2024

An interesting approach One algorithm of note focuses on topic classification by employing data compression algorithms. In the context of topic classification, we can measure the cross-entropy between, let’s say, a class c given a document d. As such, unless a task requires such complexity, it is better to use simple algorithms.

Algorithm 52

Algorithm ML ML Python 52

Dataconomy

JANUARY 10, 2024

Depending on their needs and resources, organizations can utilize backup solutions like cloud storage or physical backup devices. Companies should conduct training sessions that cover topics such as identifying phishing attempts, creating passwords, and handling confidential information securely.

Internet of Things 209

Internet of Things Cloud Computing Artificial Intelligence Artificial Intelligence 209

IBM Journey to AI blog

JUNE 26, 2023

Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published.

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Data Science 101

MAY 20, 2019

These are my memories of the topics on the exam. Below is a breakdown of the topics I remember from the exam. These are topics which would be covered in a traditional machine learning course. Here are some of the specific topics I remember. The following topics were not covered on my exam. General Overview.

Data Science 111

Data Science Azure Data Scientist Machine Learning 111

IBM Journey to AI blog

JUNE 20, 2023

A rotating cast of IBM Fellows Initially, I thought of putting together a list of relevant topics and then find guests who could join me on episodes to dive deeper into each one. However, I quickly found that it was much easier to make a list of guests to invite and let each of them bring their own perspective on the topic.

Cloud Computing 100

Cloud Computing AI AI Artificial Intelligence 100

Smart Data Collective

AUGUST 17, 2022

But keep in mind one thing which is you have to either replicate the topics in your cloud cluster or you will have to develop a custom connector to read and copy back and forth from the cloud to the application. Use the above guide to identify which type of storage works for you. A three-step ETL framework job should do the trick.

Apache Kafka 109

Apache Kafka ETL Data Lakes AWS 109

DataCentric podcast

NOVEMBER 8, 2020

In this episode, Moor Insights & Strategy technology analyst Steve McDowell is joined by a group of storage infrastructure experts to talk about the fundamentals of a flexible cyber-resilient infrastructure. AJ Casamento and Brian Larsen join from Broadcom, while Brian Sherman comes to us from IBM's Storage division.

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Smart Data Collective

AUGUST 28, 2021

A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data. Typically, these considerations come down to the four topics discussed below.

Data Lakes 140

Data Lakes Data Warehouse ETL Data Scientist 140

DataCentric podcast

DECEMBER 6, 2018

The team also recaps the highlights from HPE Discover in Madrid, where the focus was on edge computing, composable infrastructure and intelligent storage. Here are some links to explore, should you want to go deeper: * We've done a lot of writing about this episode's topics.

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Data Science 101

JULY 31, 2019

Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. See how they were redesigned to take advantage of endless storage and compute power. It is not just a conference or webinar, it will be an interactive online platform. You can pre-register for the conference now.

Cloud Data 95

Cloud Data Machine Learning Machine Learning Data Science 95

Smart Data Collective

APRIL 24, 2023

Searching for a topic on a search engine can provide us with a vast amount of information in seconds. Google’s Hadoop allowed for unlimited data storage on inexpensive servers, which we now call the Cloud. His research focuses on the importance of data in the online world. Deighton studies how this evolution came to be.

Big Data 97

Big Data Big Data Hadoop Azure 97

Dataconomy

JANUARY 15, 2024

It also boasts 4GB of memory, 128GB of storage, and operates on a 2.3GHz MediaTek processor. As we await further releases and updates, the Rabbit R1 remains a significant topic of discussion and anticipation in the world of tech. Among its features are a camera, a control wheel, speakers, and microphones.

Internet of Things 121

Internet of Things AI AI Artificial Intelligence 121

DataSeries

MARCH 27, 2023

This link is stablished by chrome storage. In the above figure we can observe that content script is storing results in chrome storage which is being fetched by the popup script. As discussed previously content script does all the extraction so there needs to be some link between popup script and content script to share result.

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Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 8, 2023

Snowflake is built on a unique architecture known as the multi-cluster shared data architecture, which separates compute resources from storage. This architecture allows Snowflake to scale computing power independently of storage capacity, providing on-demand performance and efficient resource utilization.

Business Intelligence 59

Business Intelligence Business Intelligence Database Data Warehouse 59

DataCentric podcast

SEPTEMBER 25, 2019

Much, much, more: Red Hat might be owned by IBM, but its about helping enterprises manage digital transformation, focused on where "opportunity and innovation intersect" Steve's a little dense on this topic, and Matt helps him understand what Red Hat's up to. Times: 00:00 Start! 01:45 Red Hat Summit - Digital Tranformation!

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AssemblyAI

DECEMBER 18, 2023

These models can perform tasks like summarization, identifying topics, and PII redaction. Catalog course content more effectively Speech AI to achieve this: Speech-to-Text, Audio Intelligence, Topic Detection, Key Phrases For an LMS that houses a content library meant for user exploration, Topic Detection could be used to enhance search.

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AI AI Artificial Intelligence Artificial Intelligence 59

Pickl AI

AUGUST 1, 2023

These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. It involves the design, development, and maintenance of systems, tools, and processes that enable the acquisition, storage, processing, and analysis of large volumes of data.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

SEPTEMBER 11, 2023

You’ll cover topics like GANs, and LLMs and get hands-on practice deploying generative models to create pieces of art and text. Topics covered included: Changes in credit risk trends through the pandemic and the challenges it posed in risk models.

Decision Science 52

Decision Science Data Science ML ML 52

AWS Machine Learning Blog

APRIL 4, 2024

However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests. This results in customized news feeds that surface the topics and sources most relevant to an individual user.

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AWS ETL Data Scientist Database 80

Towards AI

FEBRUARY 21, 2024

Data Storage: Important paper details — title, abstract, authors, URL, year, and conference name — are saved in a JSON file in the repo (papers_repo.json), ready for quick keyword searches and filtering. Which research topics are on the rise? We update regularly, so check back often to see the latest updates!

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ML ML Machine Learning Machine Learning 104

DagsHub

SEPTEMBER 10, 2023

Every repository comes with configured S3 storage, an experiment tracking server, and an annotation workspace - all using popular open-source tools like MLflow, DVC, Git, and Label Studio. Choose a project from the list below or any DagsHub hosted project participating in Hacktoberfest (search for projects with the “hacktoberfest” topic).

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

Data Science Dojo

JULY 27, 2023

memory storage, unit conversion, and support for complex expressions with parentheses and operator precedence. You’ll learn how to design databases, implement data storage, and develop functions to track student records, grades, and other relevant data.

Python 195

Python Data Visualization Artificial Intelligence Artificial Intelligence 195

DataCentric podcast

OCTOBER 14, 2019

Here's a general timeline for the discussion, though the topics overlap, so you owe it to yourself to listent to the entire thing. Here's a general timeline for the discussion, though the topics overlap, so you owe it to yourself to listent to the entire thing.

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Mlearning.ai

FEBRUARY 16, 2023

The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. Its architecture allows companies to perform efficient data management by scaling data storage and making computing tasks separate, saving significant costs.

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Data Warehouse Business Intelligence Business Intelligence Database 52

Dataconomy

OCTOBER 4, 2023

On this topic, we speak with Jakub Kaczyński, an expert in digital solutions for industry from Transition Technologies PSC. The cloud gives access to scalable and flexible storage and processing of large amounts of data. You have been involved in Industry 4.0,

Internet of Things 202

Internet of Things Machine Learning Machine Learning Data Silos 202

Dataconomy

OCTOBER 4, 2023

On this topic, we speak with Jakub Kaczyński, an expert in digital solutions for industry from Transition Technologies PSC. The cloud gives access to scalable and flexible storage and processing of large amounts of data. You have been involved in Industry 4.0,

Internet of Things 202

Internet of Things Machine Learning Machine Learning Data Silos 202

phData

MARCH 7, 2023

This adds both latency and storage costs to your streaming data. For example: a Kafka Topic, an API tracking changes in the stock market, IoT sensors streaming metrics about equipment, website events and clicks, live video game player interactions, etc. Again, reducing latency and removing file storage costs from your stage.

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Data Warehouse Database 98

ODSC - Open Data Science

MARCH 24, 2023

Hands-On Training Sessions You Can’t Miss at ODSC East Covering topics like advanced fraud modeling and data visualization in Python, these are 11 hands-on training sessions that you can’t miss coming to ODSC East this May.

Analytics 52

Analytics Analytics Azure Machine Learning 52

AWS Machine Learning Blog

DECEMBER 29, 2022

With the trained model, we then set up IoT Device Simulator to publish MQTT signals to a topic that will allow testing of the system to identify desired production settings before production data is used, keeping costs low. Create an IoT rule action to read the MQTT topic an send the topic payload to Timestream for storage.

Machine Learning 72

Machine Learning Machine Learning AWS Database 72

AWS Machine Learning Blog

NOVEMBER 17, 2023

Recording Amazon IVS stream content to Amazon S3 Amazon IVS offers native solutions for recording stream content to an Amazon Simple Storage Service (Amazon S3) bucket and generating thumbnails—image frames from a video stream. Data is served through API Gateway and Lambda, with state storage in Amazon DynamoDB.

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ODSC - Open Data Science

FEBRUARY 8, 2024

In this session, you’ll cover some of the essential topics in LLM development, including prompt engineering and fine-tuning, document embeddings, Retrieval-Augmented Generation (RAG), and LangChain and Transformers libraries. By the end of the tutorial, you’ll have a basic familiarity with how to use the latest tools for LLM development.

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