Towards AI

APRIL 7, 2024

This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US. Act Two: Data Cleaning.

Machine Learning 119

Machine Learning Machine Learning Exploratory Data Analysis EDA 119

Mlearning.ai

JUNE 19, 2023

How you now anonymize Data more easily Photo by Dušan veverkolog on Unsplash Google has just announced the public preview of BigQuery differential privacy with SQL building blocks. You can use these functions to anonymize their data. Hence, with this feature you can also ensure that data is shared there securely.

Data Lakes 52

Data Lakes Data Warehouse SQL ML 52

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Sentiment analysis focuses on discerning the emotions and attitudes expressed in textual data, such as social media posts, product reviews, customer feedback, and online comments.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Revolutions

MARCH 6, 2023

It was my great pleasure to present last week to the NYC Data Hackers on the topic of Copilot for R. If you haven't come across Copilot before, it's like an AI-based pair programmer that suggests new lines of code, and perhaps entire functions, based on context.

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Snorkel AI

OCTOBER 6, 2023

Most data science leaders expect their companies to customize large language models for their enterprise applications, according to a recent survey , but the process of making LLMs work for your business and your use cases is still a fresh challenge. But the most important challenges center on data. How do you host this enormous model?

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Data Science Dojo

FEBRUARY 2, 2023

It is widely used in numerous fields, from data science and machine learning to web development and game development. Python project ideas – Data Science Dojo 1. Next, you install the requests library in Python and fetch weather data with requests.get() and parse with json.loads(). Then, you must clean and filter the data.

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Towards AI

JANUARY 24, 2024

At a recent GAI Insights learning lab conducted by the amazing Rosemary Brisco, the topic of discussion was the obstacles and roadblocks that companies are facing while trying to deploy Generative AI in their enterprises. Let’s unpack the data. Start with low-risk public data and low-risk use cases. So what do you do?

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ODSC - Open Data Science

SEPTEMBER 15, 2023

In addition to its prowess in crafting captivating narratives and artistic creations, generative AI demonstrates its versatility by helping users empower their own data analytics. So let’s take a brief look at some examples of how generative AI can be used for data analytics. Idea Generation This isn’t isolated to just data analytics.

Data Analysis 96

Data Analysis Data Analysis AI AI 96

Snorkel AI

OCTOBER 6, 2023

Most data science leaders expect their companies to customize large language models for their enterprise applications, according to a recent survey , but the process of making LLMs work for your business and your use cases is still a fresh challenge. But the most important challenges center on data. How do you host this enormous model?

Data Science 59

Data Science Supervised Learning Data Mining Data Mining 59

Dataconomy

FEBRUARY 28, 2024

AI empowers businesses to rethink strategies, glean deeper insights from data, and provide customer experiences that weren’t possible before. Much of the initial effort involves cleaning and organizing data, the essential fuel for AI. Then, engineers and data scientists work to train and fine-tune AI algorithms.

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AI AI Natural Language Processing Machine Learning 182

Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

ODSC - Open Data Science

DECEMBER 7, 2023

Solution Showcase talks and Keynote Talks are available for free , while deep dives into topics with training sessions and workshops are available for purchase. You’ll take a deep dive into DataGPT’s technology stack, detailing its methodology for efficient data processing and its measures to ensure accuracy and consistency.

Data Wrangling 98

Data Wrangling Data Science Machine Learning Machine Learning 98

ODSC - Open Data Science

AUGUST 21, 2023

Introducing the Topic Tracks for ODSC West 2023 — Highlighting Gen AI and LLMs As we progress towards the end of the year, we’re turning our full attention to ODSC West coming to the heart of the AI boom (in-person) or your computer (virtual) from October 30th — November 2nd. Check the ODSC West tracks out below.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

ODSC - Open Data Science

JANUARY 3, 2024

ODSC Bootcamp Primer: Introduction to Data Course January 11th @ 2PM EST Learn the foundational skills and knowledge required to understand, work with, and analyze data. It covers topics such as data collection, organization, profiling, and transformation as well as basic analysis.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning SQL 52

Pickl AI

OCTOBER 17, 2023

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. It facilitates exploratory Data Analysis and provides quick insights.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Analysis 52

Mlearning.ai

APRIL 10, 2023

As a result, it generates a massive amount of data in the form of comments, which can provide valuable insights into the user’s opinion about a particular video or topic. Now that we have a list of all the scraped comments, we will then clean these comments and run a sentiment analysis model on these cleaned comments.

Python 52

Python Deep Learning Deep Learning Machine Learning 52

Smart Data Collective

DECEMBER 17, 2021

Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Types of Data Used in Marketing Analytics. Types of Data Used in Marketing Analytics.

Analytics 95

Analytics Analytics Data Analysis Data Analysis 95

Flipboard

FEBRUARY 12, 2023

ChatGPT is a “catalyst for publications to have conversations around the topic,” said Francesco Marconi, a computational journalist and co-founder of real-time information company Applied XL. ChatGPT can help journalists parse through large amounts of data or information to find a throughline, for example. It’s not real time.

AI 144

AI AI Artificial Intelligence Artificial Intelligence 144

Precisely

NOVEMBER 20, 2023

The answers lie in data integrity and the contextual richness of the data that fuels your AI. Businesses must navigate many legal and regulatory requirements, including data privacy laws, industry standards, security protocols, and data sovereignty requirements. Contextual data. Data integrity is multifaceted.

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AI AI Clean Data Predictive Analytics 121

ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. Some of these include concerns about bias/discrimination, data privacy and protection, safety, and of course transparency and accountability.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 1, 2023

The Data Primer series as part of the ODSC West Mini-Bootcamp Pass is your golden ticket to kickstarting your AI journey. Data Primer Available On-Demand Data is the essential building block of data science, machine learning, and learning AI. Can’t attend them all live? You’ll also have access to the recordings on-demand.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning AI 52

Tableau

APRIL 3, 2024

It was the fun crossover between data and creativity that I didn’t even realize I was looking for. An internship using SQL for data extraction put Chris in touch with a team well versed in Tableau. “I I liked the opportunity to dive deep into a topic knowing there were loads of other people doing a very similar thing at the same time.

Tableau 52

Tableau SQL Big Data Big Data 52

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. In the first blog, we’re going to discuss the technical side of things, such as what languages and platforms people are using.

Machine Learning 116

Machine Learning Machine Learning Deep Learning Deep Learning 116

AWS Machine Learning Blog

DECEMBER 29, 2022

Without access to data scientists for model training, or ML specialists to deploy solutions at the local level, adoption has seemed out of reach for teams on the factory floor. To get started, we first collect a historical dataset from your factory sensor readings, ingest the data, and train the model. Prerequisites.

Machine Learning 72

Machine Learning Machine Learning AWS Database 72

DagsHub

FEBRUARY 29, 2024

Introduction Machine learning models learn patterns from data and leverage the learning, captured in the model weights, to make predictions on new, unseen data. Data, is therefore, essential to the quality and performance of machine learning models. In this blog, I will describe how to prepare data for machine learning in depth.

Data Preparation 52

Data Preparation Machine Learning Machine Learning Data Governance 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Since there has been a consistent growth in the Data Science domain , there is a growing demand for qualified professionals.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 26, 2023

Amazon Kendra helps you easily aggregate content from a variety of content repositories into a centralized index that lets you quickly search all your enterprise data and find the most accurate answer. For more information, see Overview of access management: Permissions and policies and IAM roles for Drupal data sources. Choose Next.

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AWS Machine Learning Machine Learning Cloud Computing 99

IBM Journey to AI blog

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Machine Learning 59

Machine Learning Machine Learning Data Mining Data Mining 59

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

Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. AI technologies learn from the data we provide through a structured process known as training. Firstly, data collection is essential.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

Towards AI

JULY 19, 2023

Ex:- Amazon Alexa There are many other use cases, I hope you guys get a gist of a few So in this article, let's touch upon how machines understand text data:- Photo by Andrea De Santis on Unsplash Computers understand only binary information. We need to work on the text data to clean it and structure it in the proper format.

Natural Language Processing 91

Natural Language Processing AI AI Artificial Intelligence 91

Iguazio

SEPTEMBER 20, 2023

To help with these efforts, we’ve compiled a list of the top NLP datasets for NLP projects that data scientists and data professionals can use for training their models. Jeopardy Questions A JSON file with 216,930 Jeopardy questions, answers and additional data like the air date. Amazon Question/Answer Data 1.4

Machine Learning 96

Machine Learning Machine Learning Database Clustering 96

AWS Machine Learning Blog

NOVEMBER 3, 2023

Historical data has shown us a few instances where the ball’s velocity exceeded the 130 km/h mark in Bundesliga, with the all-time record being a jaw-dropping shot at 137 km/h by Bayern’s Roy Makaay. Shot speed data is the key to resolving these questions. This process comprises two key components: event data and optical tracking data.

AWS 93

AWS Apache Kafka Data Scientist Algorithm 93

Smart Data Collective

MAY 1, 2022

Unauthorized data intrusions have been occuring with alarming frequency. It’s tempting to think of the risk of a data intrusion as an unavoidable cost of doing business. It’s tempting to think of the risk of a data intrusion as an unavoidable cost of doing business. Therefore, sound data security is more important than ever.

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