Analytics Vidhya

JULY 25, 2023

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! In this captivating journey, we’ll explore the distinctive paths these tech titans take […] The post Data Engineer vs Data Scientist: Which Career to Choose?

Data Engineering 200

Data Engineering Data Engineer Engineering Data 200

Confessions of a Data Guy

JULY 22, 2023

Nothing gives me greater joy than rocking the boat. I take pleasure in finding what people love most in tech and trying to poke holes in it. Everything is sacred. Nothing is sacred. I also enjoy doing simple things, things that have a “real-life” feel to them. I suppose I could be like the others […] The post Polars vs Pandas. Inside an AWS Lambda. appeared first on Confessions of a Data Guy.

AWS 240

AWS Data IT Data Engineering 240

Christophe Blefari

JULY 28, 2023

🧜‍♂️ ( credits ) Hey, this is a mid-2023 edition with some of my favourite articles and the popular articles that have been shared this year in the newsletter. There isn't any fancy calculation on how to find the popular articles. Here how it's done. Every link sent in each newsletter is tracked in 2 ways: when you click on a link it first redirect you to my blog so I know that you've clicked on it it adds ref=blef.fr to the url, so the original articl

Data 130

Data SQL Python Programming 130

KDnuggets

JULY 28, 2023

The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.

Python 105

Python IT 105

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

Knowledge Hut

JULY 28, 2023

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. It plays a vital role in cybersecurity, finance, healthcare, and industrial monitoring. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. They excel at identifying subtle anomalies and adapt to changing patterns.

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Machine Learning Algorithm Datasets Healthcare 98

The Modern Data Company

JULY 24, 2023

In the modern data-driven landscape, organizations are constantly seeking ways to extract valuable insights from their data assets. While individual data products provide significant value, the true potential lies in harnessing the power of interconnected data products. By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases.

Data Lake 85

Data Lake Transportation Data Algorithm 85

KDnuggets

JULY 25, 2023

This is an overview of the "Textbooks Are All You Need" paper, highlighting the Phi-1 model's success using high-quality synthetic textbook data for AI training.

Data 102

Data 102

ArcGIS

JULY 26, 2023

Sure, we can make features look like they are glowing. But how can we make them look like they are casting light on the basemap below?

Designing 98

Designing 98

databricks

JULY 26, 2023

All healthcare is personal. Individuals have different underlying genetic predispositions, environmental exposures, and past medical histories, not to mention different propensities to engage.

Medical 88

Medical Healthcare 88

Confluent

JULY 25, 2023

Confluent obtained the ISO 27701 certification which demonstrates the high standard of Confluent’s privacy program and practices.

Certification 98

Certification Programming Data 98

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

KDnuggets

JULY 25, 2023

RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

Python 96

Python Coding Engineering IT 96

Cloudera

JULY 26, 2023

It was a busy day for Cloudera Cares in the UK on June 21, 2023. Not only did we deliver the EMEA Evolve Flagship event with a first of its kind, volunteer component, we also flew the Cloudera flag at a Cloudera Cares event with Mission Motorsport. Hear from Clouderan, Paul Wooding about his day volunteering at two of Cloudera’s impactful UK-based events.

Designing 80

Designing Accessible Accessibility IT 80

ArcGIS

JULY 27, 2023

Packed circles are a unique visualization technique for representing individual data points within an aggregate symbol.

Data 96

Data Python 96

Workfall

JULY 25, 2023

Reading Time: 9 minutes Tired of manual data entry in Google Spreadsheets? Discover a simple and efficient way to automate your data handling using Python and Sheety API. In this blog, we’ll demonstrate step-by-step the process of reading and writing data in Google Sheets, empowering you to effortlessly manage your data with the power of Python.

Python 76

Python Programming Language Coding Project 76

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

KDnuggets

JULY 27, 2023

Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

Programming Language 96

Programming Language Data Science Programming Data 96

databricks

JULY 28, 2023

For the final part of our Best Practices and Guidance for Cloud Engineers to Deploy Databricks on AWS series, we'll cover an important.

AWS 89

AWS Cloud Engineering 89

Snowflake

JULY 26, 2023

The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert.

Hospitality 76

Hospitality Healthcare Medical Insurance 76

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP). However, both of these options are associated with substantial cost and risk , as organizations underestimate the complexity and the necessary expertise required to not only build b

Software Engineer 65

Software Engineer Software Engineering Project Coding 65

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

JULY 28, 2023

This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

Data Science 85

Data Science Data Designing IT 85

databricks

JULY 24, 2023

Large Language Models (LLMs) unlock a wide spectrum of potential use cases to deliver business value, from analyzing the sentiment of text data.

Data 85

Data Data Science Engineering 85

Towards Data Science

JULY 24, 2023

Build scalable and fast data pipelines with Polars Continue reading on Towards Data Science »

Data Pipeline 83

Data Pipeline Data Science Data Building 83

Knowledge Hut

JULY 28, 2023

Agile and Lean are methodologies that originated in the realm of software development but have found application in various industries. Agile methodology is based on iterative development, while Lean methodology focuses on waste elimination. This is the primary difference between Agile and Lean. Choosing between Agile and Lean depends on project requirements, team dynamics, and organizational goals.

Manufacturing 52

Manufacturing Transportation Certification Project 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

KDnuggets

JULY 24, 2023

With Generative AI being a hot topic, learn more about these courses provided that can give you a kick start into the wave.

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103

databricks

JULY 27, 2023

Check our Solution Accelerator for Propensity Scoring for more details and to download the notebooks. Consumers increasingly expect to be engaged in a.

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Management Retail 78

Monte Carlo

JULY 27, 2023

It’s not enough for data teams to be magicians transforming raw data into business value, they need to be responsible (and cost conscious) stewards as well. Unfortunately, data optimization is far from an exact science. Like much of the B2B SaaS universe, costs are based on platform usage. However, infrastructure, and particularly data infrastructure, can be highly elastic, meaning costs can scale down and up (and let’s face it, it’s mostly up) dramatically if not carefully monitored.

Data 52

Data Architecture Data Warehouse Data Engineering 52

Knowledge Hut

JULY 28, 2023

In today's digital landscape, organizations heavily depend on their IT infrastructure to deliver efficient services. However, incidents and disruptions can still occur, leading to service interruptions and financial losses. To effectively address these issues, organizations need a proactive approach that includes a robust Root Cause Analysis (RCA) methodology.

Utilities 52

Utilities Data Collection Certification Systems 52

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

KDnuggets

JULY 24, 2023

When working on a data science problem, one of the most important choices to make is selecting the appropriate machine learning algorithm.

Machine Learning 92

Machine Learning Algorithm Data Science Data 92

databricks

JULY 23, 2023

We're thrilled to announce the general availability of Fivetran access in Partner Connect for all users. This innovation makes it 10x easier for.

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Accessible Accessibility IT 80

Monte Carlo

JULY 27, 2023

In This Article: What a data quality engineer does The skills, languages and tools of a data quality engineer Example data quality engineer job description Data quality engineer salary Data quality engineer career path and future demand What a data quality engineer does A data quality engineer ensures reliable, high quality data is delivered to internal and external stakeholders and applications.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Knowledge Hut

JULY 28, 2023

In today's digital age, Information Technology (IT) plays a critical role in the success and efficiency of businesses across various industries. To effectively manage and deliver IT services, organizations often adopt best practices and frameworks like ITIL (Information Technology Infrastructure Library). UC ITIL provides a comprehensive set of guidelines and processes for IT service management, aiming to align IT services with the needs of the business.

Government 52

Government Certification Data Security Management 52

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering