Data Science Dojo

MARCH 15, 2024

Explore the potential of generative AI and LLMs for non-profit organizations In this blog, we take a closer look at the company and its new model. Its robots are powered by a technology called the Covariant Brain, a machine-learning (ML) model to train and improve robots’ functionality in real-world applications.

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DataRobot Blog

MARCH 30, 2022

This blog is meant to be a fun take on predicting Song and Record of the Year for the 64th Annual GRAMMY Awards. So far, DataRobot has predicted Song of the Year (2019) and Record of the Year (2020) correctly, and the winning track has appeared in the top three most likely list for Song of the Year (2020) and Record of the Year (2021).

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Towards AI

DECEMBER 19, 2023

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. If you are not aware of how neural networks work, it is highly advised that you brush on that first by going through this blog series. So, without further ado, let’s dive in! What is GAMINET?

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IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

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AWS Machine Learning Blog

APRIL 9, 2024

We ask “What was the Amazon’s revenue in 2019 and 2021?” For this example, the query is “What was the Amazon’s revenue in 2019 and 2021?” He is passionate about developing state-of-the-art AI/ML-powered solutions to solve complex business problems for diverse industries, optimizing efficiency and scalability.

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Google Research AI blog

FEBRUARY 23, 2023

Commensurate with our mission to demonstrate these societal benefits , Google Research’s programs in applied machine learning (ML) have helped place Alphabet among the top five most impactful corporate research institutions in the health and life sciences publications on the Nature Impact Index in every year from 2019 through 2022.

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IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. And ML processes consume an abundance of capacity to build models. Returning to the analogy, there have been significant changes to how we power cars.

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Mlearning.ai

MARCH 15, 2023

This is blog post is about the first few tests I ran with the new GPT-4 model. Image by author Image by author Current events It still has the knowledge cutoff from September 2021, tho. I will obviously stay up all night to experiment more and might update this blog post from time to time ? This model is “something else” ?

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AWS Machine Learning Blog

FEBRUARY 6, 2024

In 2021, the pharmaceutical industry generated $550 billion in US revenue. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

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Tableau

MARCH 11, 2021

March 11, 2021 - 3:22pm. March 11, 2021. The use of AI and ML on very large data sets will be possible through these collaborations; I also expect the discovery of new treatments and creation of new drugs, vaccines, and the re-use of existing therapies for novel purposes to be accelerated by these advances in data science. __.

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Alation

JULY 15, 2021

In this blog, I’ll unpack a few key insights from this Deep Dive report, demonstrating how Alation’s people-centric approach better serves the humans behind the data. By supporting real people with AI and ML, Alation increases the productivity — and job satisfaction — of data folks at all levels. People-centric Search.

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DataRobot Blog

FEBRUARY 28, 2023

The DataRobot AI Platform and the Snowflake Data Cloud provide an interoperable, scalable AI/ML solution and unique services that integrate with diverse ecosystems so that data-driven enterprises can focus on delivering trusted and impactful results. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

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Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. There is also concern that attackers are using AI and ML technology to launch smarter, more advanced attacks.

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021.

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DrivenData Labs

DECEMBER 13, 2022

agg ( min_date = ( "date" , min ), max_date = ( "date" , max )) Out[8]: min_date max_date split test 2013-01-08 2021-12-29 train 2013-01-04 2021-12-14 In [9]: # what years are in the data? The severity levels are: severity Density range (cells per mL) 1 10,000,00)" , } } ). groupby ( "split" ).

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DataRobot Blog

SEPTEMBER 1, 2022

IDC 2 predicts that by 2024, 60% of enterprises would have operationalized their ML workflows by using MLOps. The same is true for your ML workflows – you need the ability to navigate change and make strong business decisions. 1 IDC, MLOps – Where ML Meets DevOps, doc #US48544922, March 2022. Request a Demo.

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Iguazio

FEBRUARY 17, 2024

How can financial services companies build, expand and optimize their use of data and ML? Open and free financial datasets and economic datasets are an essential starting point for data scientists and engineers who are developing and training ML models for finance. Data is organized annually and was last updated in November 2021.

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Tableau

MAY 25, 2021

May 25, 2021 - 11:46pm. May 26, 2021. Companies in similar fields want to collaborate on open data sets, such as enriched census data or machine learning (ML) training data sets. Check out this Delta Sharing announcement on the Databricks blog. Razi Sharir. VP Product Management and Data, Tableau. Brian Dirking.

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Tableau

MARCH 11, 2021

March 11, 2021 - 3:22pm. March 11, 2021. The use of AI and ML on very large data sets will be possible through these collaborations; I also expect the discovery of new treatments and creation of new drugs, vaccines, and the re-use of existing therapies for novel purposes to be accelerated by these advances in data science. __.

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AWS Machine Learning Blog

FEBRUARY 9, 2023

We use the TimeRangeFilter to select data from January 2021 to July 2022. The water surface area clearly decreased between February 2021 and July 2022. SageMaker now supports geospatial machine learning (ML), making it easier for data scientists and ML engineers to build, train, and deploy models using geospatial data.

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Heartbeat

NOVEMBER 14, 2023

2 (2021): 522–531. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Sources: [1]Thongsuwan, Setthanun, Saichon Jaiyen, Anantachai Padcharoen, and Praveen Agarwal. "ConvXGB:

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AWS Machine Learning Blog

DECEMBER 12, 2023

SageMaker foundation models In 2021, the Stanford Institute for Human-Centered Artificial Intelligence termed some LLMs as foundation models. Deploy SageMaker foundation models SageMaker is a fully managed machine learning (ML) service for developers to quickly build and train ML models with ease.

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Smart Data Collective

AUGUST 26, 2021

In this blog, we’ll delve deeper into the impact of data analytics on weather forecasting and find out whether it’s worth the hype. Weather Forecasting in 2021: A Closer Look. Data analytics uses AI and ML to automate the process of collecting and evaluating weather data to extract relevant insights.

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Mlearning.ai

FEBRUARY 14, 2023

Moreover, Bing’s version is far more up-to-date, since ChatGPT was trained with data up to 2021. Coding Blogging Complex Summary A summary of the steps needed to solve a system of equations using the substitution and elimination methods for a math class of 13-year-olds who know algebra. These examples use predefined prompts.

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AWS Machine Learning Blog

MARCH 1, 2024

pdf" } }, "score": 0.6389407 }, { "content": { "text": "Property and equipment, net by segment is as follows (in millions): December 31, 2021 2022 2023 North America $ 83,640 $ 90,076 $ 93,632 International 21,718 23,347 24,357 AWS 43,245 60,324 72,701 Corporate 1." }, "location": { "type": "S3", "s3Location": { "uri": "s3:// /amazon-10k-2023.pdf"

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IBM Journey to AI blog

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In 2021, cloud databases accounted for 85% 1 of the market growth in databases.

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Mlearning.ai

JULY 6, 2023

As of Dec 2021, the world has only 15 million millionaires. I took inspiration from two different blogs and thank the authors for their brilliant work - Bayes for days: What to do with signal | Mawer A Visual intuition of Bayes Rule What do you think? BECOME a WRITER at MLearning.ai // invisible ML // 800+ AI tools Mlearning.ai

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Dataversity

DECEMBER 21, 2021

So far in 2021, nearly 281.5 According to The Identity Theft Research Center, the number of data breaches this year has already surpassed the total number in 2020 by 17%, making it a record-breaking year for data compromises. million people have been affected by some sort of data breach.

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Google Research AI blog

MARCH 2, 2023

In 2021, we announced that we are using federated learning to train Smart Text Selection models, an Android feature that helps users select and copy text easily by predicting what text they want to select and then automatically expanding the selection for them. This is where differential privacy (DP) comes in.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models. These daily predictions are subsequently broken down into hourly segments, as depicted in the following graph.

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Google Research AI blog

NOVEMBER 17, 2022

Data Cards are transparency artifacts that provide structured summaries of ML datasets with explanations of processes and rationale that shape the data and describe how the data may be used to train or evaluate models. We also incorporated our learnings from a series of workshops at ACM FAccT in 2021.

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. To get started with managed AWS Trainium on Amazon SageMaker , see Train your ML Models with AWS Trainium and Amazon SageMaker. He founded StylingAI Inc.,

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Tableau

MAY 25, 2021

May 25, 2021 - 11:46pm. May 26, 2021. Companies in similar fields want to collaborate on open data sets, such as enriched census data or machine learning (ML) training data sets. Check out this Delta Sharing announcement on the Databricks blog. Razi Sharir. VP Product Management and Data, Tableau. Brian Dirking.

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Mlearning.ai

APRIL 25, 2023

In today’s blog, we will explore the Netflix dataset using Python and uncover some interesting insights. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. From the second plot, we can see the top 20 genres that have been added by Netflix from 2008 to 2021.

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability and Auditability in ML: Definitions, Techniques, and Tools || Neptune.ai Blog Mahmood, A. Blog Mahmood, A. References Castillo, D.

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DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. Among these, Spain, the United Kingdom, and the United States passed the highest number of AI-related bills in 2021 adopting three each.

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