Ocean Protocol

SEPTEMBER 20, 2023

A winning highlight in this report showed that a drop in average transaction value around June 2021 coincides with a significant drop in gas prices. This could indicate that when gas prices are lower, more users might engage in transactions, even if they’re of a smaller value. Create a dataset to conduct analysis.

Clustering 98

Clustering Exploratory Data Analysis Data Scientist Data Analysis 98

Smart Data Collective

JUNE 4, 2021

Linear algebra is the study of linear equations and graphs of linear equations. In data science, use linear algebra for understanding the statistical graphs. Visual graphs are the core of descriptive statistics. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models.

Data Science 105

Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

Applied Data Science

JANUARY 17, 2022

An analyst should be notified if the price of a product changes online ? Full Stack Data Scientist: Part 7— How to set up a Slack Bot for instant, automatic notifications Dashboards are the most popular way of presenting data in businesses —  but they’re not the only way ! For example… ? You can find the repo for this project here.

Data Science 130

Data Science Data Scientist AI AI 130

Towards AI

JULY 15, 2023

For instance, imagine you have a dataset consisting of the prices of products at your favorite online marketplace. What would you expect to be the most common leading digit in those prices? An illustration of Benford’s Distribution, Photo by Author. As platforms like Twitter grow, so does the proliferation of fake accounts.

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Machine Learning Machine Learning Hypothesis Testing Algorithm 74

Towards AI

JULY 21, 2023

When stock price began to climb due to their share purchasing, hedge funds began losing loads of money on their short and in result, hedge funds began to purchase the same stocks that they shorted in order to cover their losses. The end result is a vicious melt up of stock price aka the short squeeze. So what happened? ML papers. ??

Natural Language Processing 52

Natural Language Processing Python Deep Learning Deep Learning 52

AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. Due to the velocity of change in IT, customers in traditional industries are facing a dilemma of skillset.

ML 94

ML ML AWS Data Science 94

Cambridge Intelligence

MAY 8, 2023

Management attention gets pulled to managing reputational fallout and steadying the share price. Graph and timeline visualization helps to predict when and where an attack may happen. A malware investigation brought to life with KeyLines, our graph visualization toolkit for JavaScript developers. from the rest of the business.

Data Visualization 52

Data Visualization Data Analysis Data Analysis Analytics 52

ML Review

DECEMBER 16, 2019

Machine Learning on Graphs becomes a first-class citizen at AI conferences while being not that mysterious as you might have imagined ?. Graphs were well represented at the conference. At NeurIPS’19 we see applications of hyperbolic geometry to graphs! ? If you still had any doubts — it’s time to admit.

Machine Learning 52

Machine Learning Machine Learning Database Algorithm 52

Smart Data Collective

MAY 6, 2019

This is demonstrated by providing guides and easy to comprehend graphs for beginners, alongside more detailed graphs and other services for more experienced traders. Big data is having a huge effect on the future of cryptocurrency markets around the world. Here is an excerpt from that post. Here is an excerpt from that post.

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Big Data Big Data Algorithm 98

ODSC - Open Data Science

OCTOBER 14, 2023

In the spirit of open data and growing the data science and AI community, we are thrilled to announce that we are now offering a free ODSC Open Pass, both for in-person and virtual during ODSC West this October 30th to November 2nd. Included in your open pass, you’ll get access to. with Comparative AI/DataGPT Ask the Experts! Learn more here.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

AWS Machine Learning Blog

DECEMBER 12, 2023

Large language models (or LLMs) have become a topic of daily conversations. Their quick adoption is evident by the amount of time required to reach a 100 million users, which has gone from “4.5yrs by facebook” to an all-time low of mere “2 months by ChatGPT.” Several recent models such as NeoX , Falcon , Llama use the GPT architecture as a backbone.

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Smart Data Collective

OCTOBER 31, 2022

To a certain extent, prices are partially based on the general public’s interactions and perception of the value of an asset. These programs are often able to represent data in a number of different ways—such as line graphs or candlestick charts—which makes it easier to process the data. Financial institutions spent over $10.1

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AI AI Artificial Intelligence Artificial Intelligence 138

Smart Data Collective

OCTOBER 19, 2022

With MongoDB, you get a wider variety of use cases such as geospatial queries, graph traversals, and more. There is no straight answer for this for either solution because you need to use their pricing calculators to input the various factors that influence the cost. Unfortunately, big data technology is not without its challenges.

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Big Data Big Data Database AWS 112

Dataconomy

MARCH 20, 2023

For Microsoft 365 (Office) programs like Word, Excel, PowerPoint, Outlook, Microsoft Teams, and other goods and services, Copilot is a new AI digital assistant developed with ChatGPT version 4 and Microsoft Graphs. That’s why we prepared a comprehensive guide for Microsoft 365 Copilot and explained everything you need to know about it.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence AI AI 70

Dataconomy

MARCH 20, 2023

For Microsoft 365 (Office) programs like Word, Excel, PowerPoint, Outlook, Microsoft Teams, and other goods and services, Copilot is a new AI digital assistant developed with ChatGPT version 4 and Microsoft Graphs. That’s why we prepared a comprehensive guide for Microsoft 365 Copilot and explained everything you need to know about it.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence AI AI 70

The MLOps Blog

MARCH 15, 2023

In this post, you will learn about the 10 best data pipeline tools, their pros, cons, and pricing. If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage.

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Data Pipeline ETL SQL Data Quality 59

Tableau

NOVEMBER 9, 2023

We’ve asked three Tableau product team members to share how the most popular ideas we released in each update were launched: Dynamic Axis Labels (23.1), Create Different Type Of Lines For Line Graphs (23.2), and Tableau Prep Table Calculations (23.3). The Tableau Community inspires our work and helps us innovate further.

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Tableau 88

IBM Journey to AI blog

JANUARY 16, 2024

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Why is a strong product development strategy important? Consumers have access to more information than ever to compare products and brands.

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Database 84

Ocean Protocol

NOVEMBER 3, 2023

This challenge was designed to challenge participants in making accurate, dependable forecasts that could have a profound impact on risk mitigation, insurance pricing, and crop prediction in the region. This challenge was set to provide insights into a pressing geographic location in Africa, Marsabit, Kenya. tif images. tif picture of 2012.

Data Science 59

Data Science Predictive Analytics Machine Learning Machine Learning 59

AWS Machine Learning Blog

FEBRUARY 1, 2023

With this announcement, you can now easily run large-scale containerized training jobs within Amazon EKS while taking full advantage of the price-performance, scalability, and ease of use offered by Trn1 instances. Although larger models tend to be more powerful, training such models requires significant computational resources.

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AWS Clustering Deep Learning Deep Learning 92

AWS Machine Learning Blog

MAY 3, 2023

times the speed for Resnet50 compared to the previous PyTorch release (see the following graph), and up to 1.4 times the speed for Resnet50 compared to the previous PyTorch release (see the following graph), and up to 1.4 AWS, Arm, Meta and others helped optimize the performance of PyTorch 2.0 inference for Arm-based processors.

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AWS Cloud Computing Python Machine Learning 80

Smart Data Collective

SEPTEMBER 13, 2021

It is when an investor gets stock at cheaper prices than the actual value of the stock. However, value investing is challenging for most people. Successful investors find suitable assets like post pandemic dividends and monitor their stocks. In addition, they make the right decisions to ensure their projects are successful. Broad and Fast.

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Big Data Big Data Natural Language Processing Machine Learning 108

Mlearning.ai

JUNE 29, 2023

This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of DASH Image crafted by Author Prepare yourself for an extraordinary voyage into the realms of web application development, where an illustrious entity known as the DASH library reigns supreme. children='Hello DASH!'),

Data Visualization 52

Data Visualization Python Analytics Analytics 52

AWS Machine Learning Blog

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

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Data Scientist ML ML Deep Learning 73

Smart Data Collective

SEPTEMBER 14, 2020

Big data is radically changing the future of online business. The benefits that it offers are abundantly clear. This Medium post highlights some of the reasons that big data is transforming the nature of e-commerce and other fields of online business. One of the biggest benefits is through personalized recommendations. What is a web dashboard?

Analytics 98

Analytics Analytics Big Data Big Data 98

DataRobot Blog

FEBRUARY 14, 2022

The dataset we’ll be using contains information about homes and their sales price. The target we’re predicting is the sales price, meaning this is a regression problem. In the past decade, we’ve seen an explosion in the usage of AI. With any AI solution , you want it to be accurate. But just as important, you want it to be explainable.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Mlearning.ai

FEBRUARY 24, 2023

Principal Component Analysis (PCA) is a popular statistical technique used to reduce the dimensions of a large data set. It is commonly used in data exploration and pre-processing before model building. In other words, PCA can turn a group of correlated variables into a smaller set of uncorrelated variables known as principal components.

Machine Learning 52

Machine Learning Machine Learning Data Visualization Data Science 52

Heartbeat

OCTOBER 13, 2023

Comet offers customizable visualizations and reporting capabilities, making generating informative charts and graphs simple to communicate results effectively. What is Time Series Analysis? In essence, it deals with sequences of data ordered chronologically.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

ODSC - Open Data Science

JULY 26, 2023

predicting house prices). As a senior data scientist, I often encounter aspiring data scientists eager to learn about machine learning (ML). It’s a fascinating field that can seem daunting at first, but I assure you, with the right mindset and resources, anyone can master it. What is Machine Learning?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Heartbeat

MARCH 21, 2023

Some examples of real-life applications of time series models include: Forecasting stock prices: Time series models can be used to analyze historical stock prices and make predictions about future prices. In this tutorial, we will go through steps on how to use Comet to monitor our time-series forecasting model.

Exploratory Data Analysis 59

Exploratory Data Analysis EDA Machine Learning Machine Learning 59

Pickl AI

JUNE 16, 2023

Introduction We live in a data-driven world, and data analytics plays a critical role in analysing consumer behaviour and optimizing business strategies. Companies are reaping the benefits by assessing the consumer’s interest in particular products. Tools like Market Basket Analysis in Python are playing a pivotal role in this.

Python 52

Python Algorithm Data Mining Data Mining 52

DataRobot

SEPTEMBER 16, 2021

Accurate pricing is essential to protecting an insurance company’s bottom line. Pricing directly impacts the near-term profitability and long-term health of an insurer’s book of business. The methods actuaries use to arrive at accurate pricing have evolved. The methods actuaries use to arrive at accurate pricing have evolved.

Machine Learning 52

Machine Learning Machine Learning Algorithm AI 52

phData

JUNE 23, 2023

In the world of data-driven organizations, understanding the origin, movement, and transformations of data is paramount. Data lineage plays a crucial role in providing transparency, ensuring data integrity, and enabling informed decision-making. What is Data Lineage?

Data Quality 52

Data Quality Data Governance ETL Database 52

AWS Machine Learning Blog

JANUARY 30, 2023

Predicting water consumption accurately is important so customers don’t face any service interruptions and in order to provide a stable service while maintaining low prices. You can use Forecast to seamlessly conduct what-if analyses up to 80% faster to analyze and quantify the potential impact of business levers on your demand forecasts.

ML 66

ML ML AWS System Architecture 66

PyImageSearch

AUGUST 14, 2023

Product Graph Product Relationships To formulate the problem statement, let’s assume , , and be any three products and , , and be three binary relationships where: represents that product is co-purchased with product. Figure 2 illustrates a product graph where green and blue edges represent co-purchase and co-view edges.

Deep Learning 98

Deep Learning Deep Learning Algorithm Computer Science 98

Mlearning.ai

MARCH 17, 2023

For instance, in a big project team the data scientist might be responsible for the task of “developing a predictive pricing model”, which itself consists of smaller tasks, experiments, nuances and dependencies that are too granular to fit a traditional project management structure. It will happen to all of us.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. For Elastic Inference , choose none.

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Algorithm AWS ML ML 89