Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. What is a data scientist? Their mission?

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Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

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Pickl AI

JANUARY 12, 2023

Due to the growing application of Data Science in different industries, companies are now looking forward to hiring individuals and training their employees on newer technologies that can eventually help the organization attain its goals. Best Data Science courses for working professionals 1.

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DrivenData Labs

JANUARY 11, 2023

The results of this GCMS challenge could not only support NASA scientists to more quickly analyze data, but is also a proof-of-concept of the use of data science and machine learning techniques on complex GCMS data for future missions. Competitors used this GCMS data to predict the presence of nine different potential compounds.

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Deep Learning Deep Learning Machine Learning Machine Learning 130

Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? I will define this later as the “Data Product.”

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PyImageSearch

JANUARY 2, 2023

This lesson is the 4th of a 5-lesson course on CV and DL for Industrial and Big Business Applications 102. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Deep Learning Deep Learning Machine Learning Machine Learning 52

Mlearning.ai

JANUARY 27, 2023

So without any further due, let's start with, Dataset generation To train and evaluate computer vision models, we want some data. So without any further due, let's start with, Dataset generation To train and evaluate computer vision models, we want some data. You can use the below resources for creating your data.

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Flipboard

JULY 10, 2023

no class labels or labeled data) such as dimensionality reduction, feature extraction, and data compression. They seek to: Accept an input set of data (i.e., the input ) Internally compress the input data into a latent space representation (i.e., They seek to: Accept an input set of data (i.e.,

Deep Learning 110

Deep Learning Deep Learning Machine Learning Machine Learning 110

PyImageSearch

OCTOBER 23, 2023

Be sure to join PyImageSearch University — you’ll be up and running with this tutorial in minutes. Then join PyImageSearch University today! Our journey begins with training a VAE on this dataset, setting the stage for a series of captivating experiments. Let’s dive in! Need Help Configuring Your Development Environment?

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Deep Learning Deep Learning Computer Science Computer Science 67

AssemblyAI

NOVEMBER 9, 2023

31:42: 90% of Americans now live within 5 miles of a vaccination site. 52:19: When this nation made twelve years of public education universal in the last century, it made us the best educated, best prepared nation in the world. 31:42: 90% of Americans now live within 5 miles of a vaccination site. 67:34: He said the U.S.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

Over the course of the AWS Machine Learning Solutions Lab engagement with Duke Energy, the utility progressed its work to automate the detection of anomalies in wood poles using advanced computer vision techniques. The following figure shows the distribution of image height and width of a sample data set from Duke Energy.

Machine Learning 89

Machine Learning Machine Learning AWS ML 89

Heartbeat

NOVEMBER 9, 2023

Enter the world of Document Chains in LangChain, a revolutionary approach that promises to redefine how we interact with expansive textual data. Whether you’re a developer, data scientist, or just a curious enthusiast, this guide will walk you through the intricacies of Document Chains, showcasing their potential and practical applications.

Deep Learning 52

Deep Learning Deep Learning Data Scientist ML 52

Hacker News

JUNE 28, 2023

From the whole idea of symbolic programming, to the concept of notebooks, the universal applicability of symbolic expressions, the notion of computational knowledge, and concepts like instant APIs and so much more, we’ve been energetically continuing to push the frontier over all these years. of Mathematica (and what’s now Wolfram Language).

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Hacker News

FEBRUARY 2, 2023

And I spent much of the summer of 1972 writing my own (unseen by anyone else for 30+ years) Concise Directory of Physics that included a rather stiff page about energy, mentioning entropy—along with the heat death of the universe. It all started when I was 12 years old. There were several shelves of physics books at the local bookstore.

Machine Learning 161

Machine Learning Machine Learning Algorithm Analytics 161

Explosion

DECEMBER 28, 2019

In the interview, Matt and Ines talked about Prodigy , where training corpora come from and the challenges of annotating data for an NLP system – with some ideas about how to make it easier. ? Now their state-of-the-art Universal Dependencies models can be directly used in your spaCy pipeline. ? Got a question? to support spaCy v2.1.

Machine Learning 52

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Tableau

JULY 29, 2021

At Tableau, we have had a front-row seat to the rising need for data skills across all organizations, all communities, and groups. From marketing, operations, to sales and all aspects of leadership - everyone needs to know how to read and communicate with data. Eleanor Cooper , Pathstream CEO. Eleanor Cooper , Pathstream CEO.

Tableau 98

Tableau Data Analyst Revenue Operations Analyst SQL 98

Tableau

JULY 29, 2021

At Tableau, we have had a front-row seat to the rising need for data skills across all organizations, all communities, and groups. From marketing, operations, to sales and all aspects of leadership - everyone needs to know how to read and communicate with data. Eleanor Cooper , Pathstream CEO. Eleanor Cooper , Pathstream CEO.

Tableau 52

Tableau Data Analyst Revenue Operations Analyst SQL 52

AWS Machine Learning Blog

JANUARY 26, 2023

To assess the risk of credit applications, ML uses various data sources, thereby predicting the risk that a customer will be delinquent. Data scientists train multiple ML algorithms to examine millions of consumer data records, identify anomalies, and evaluate if a person is eligible for credit.

ML 78

ML ML AWS Data Scientist 78

AssemblyAI

MARCH 11, 2024

Human productivity boost: LLMs free up valuable time for creative and strategic thinking by streamlining tasks like content creation, coding, data analysis, and research, as well as more tedious, repetitive types of everyday tasks. Below, we'll walk you through all the top LLM use cases and applications in 2024.

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The MLOps Blog

JUNE 5, 2023

5 How are startups and companies already leveraging LLMs to ship products fast? David : Unusual is a venture fund, and my current focus is on our Machine Learning and Data Infrastructure Investments. David : Of course. In this episode, you will learn about: 1 What is GPT-3 all about?

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