Analytics Vidhya

JANUARY 31, 2023

Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data. With the ability to collect, manage, and analyze vast amounts of data, […] The post The Impact of Big Data on Healthcare Decision Making appeared first on Analytics Vidhya.

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Healthcare Big Data Electronics Data 251

KDnuggets

JANUARY 31, 2023

Kickstart your Machine Learning career with these curated GitHub repositories.

Machine Learning 160

Machine Learning 160

Analytics Vidhya

JANUARY 31, 2023

Introduction In today’s world, machine learning and artificial intelligence are widely used in almost every sector to improve performance and results. But are they still useful without the data? The answer is No. The machine learning algorithms heavily rely on data that we feed to them. The quality of data we feed to the algorithms […] The post Practicing Machine Learning with Imbalanced Dataset appeared first on Analytics Vidhya.

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Machine Learning Datasets Algorithm Structured Data 234

The Modern Data Company

JANUARY 31, 2023

Another year, another chance to learn more about the world of data. In 2023, The Modern Data Company (Modern) hopes to reach more companies and organizations with our data operating system, build incredible value from existing and upcoming data assets, and share insights into major shifts in what it means to be data-driven. If you haven’t been with us long, we had some incredible pieces in the past few years.

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Retail Healthcare Data Architecture Data Pipeline 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

Analytics Vidhya

JANUARY 31, 2023

Introduction YARN stands for Yet Another Resource Negotiator. It is a powerful resource management system for a horizontal server environment. It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop. It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya.

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Hadoop Designing Systems Process 229

KDnuggets

JANUARY 31, 2023

The latest cheat sheet from KDnuggets demonstrates how to use Streamlit for building machine learning apps. Download the quick reference now.

Machine Learning 104

Machine Learning Building 104

KDnuggets

JANUARY 31, 2023

Learn how data can be treated as a product and how it can be used to derive value.

Data 126

Data IT Data Engineering Data Engineer 126

databricks

JANUARY 31, 2023

As IT leaders kick off the new year during one of the most tumultuous times in recent history, CIOs are being forced to.

IT 106

IT Data 106

ArcGIS

JANUARY 31, 2023

A serialized look at climate extremes. Here we discuss increased precipitation and how to visualize, interpret, and prepare for more storms.

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Cloudera

JANUARY 31, 2023

Cloudera Partners with Per Scholas to Educate a Diverse Technology Workforce Working in the technology sector comes with plenty of perks, from higher wages to opportunities for upward growth. But breaking into the tech industry isn’t always straightforward. Specialized jobs that come with higher pay and better benefits are typically only available for those who can afford for the training and skills required to make it in the industry.

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Software Engineer Software Engineering Education Programming 72

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

databricks

JANUARY 31, 2023

This is a collaborative post from Databricks and MIT. We thank Cesar Terrer, Assistant Professor at MIT, Civil and Environmental Engineering Department (CEE).

Engineering 78

Engineering Data 78

Rockset

JANUARY 31, 2023

SkyHive is an end-to-end reskilling platform that automates skills assessment, identifies future talent needs, and fills skill gaps through targeted learning recommendations and job opportunities. We work with leaders in the space including Accenture and Workday, and have been recognized as a cool vendor in human capital management by Gartner. We’ve already built a Labor Market Intelligence database that stores: Profiles of 800 million (anonymized) workers and 40 million companies 1.6 billion jo

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MongoDB Pharmaceutical Recruitment Raw Data 59

Towards Data Science

JANUARY 31, 2023

Importing and concatenating multiple CSV files into one pandas DataFrame Continue reading on Towards Data Science »

Data Science 73

Data Science Data Technology Programming 73

databricks

JANUARY 31, 2023

Introduction Financial services institutions (FSIs) around the world are facing unprecedented challenges ranging from market volatility and political uncertainty to changing legislation and.

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Designing Process 56

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

ProjectPro

JANUARY 31, 2023

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? Join us on a thrilling exploration of the critical Business Intelligence Engineer job role and its impact on the modern business landscape in the big data world. The business intelligence sector has shown incredible growth over the last few years, and this trend is likely to continue as more companies lay an emphasis on d

Business Intelligence 52

Business Intelligence Engineering BI Data Warehouse 52

Edureka

JANUARY 31, 2023

Many people get stuck where they are even if they work hard at their jobs. Many are frustrated that they cannot move forward in their careers even after putting in many years of service. Though these people possess a lot of experience in their fields, they lack the skills they require in today’s fast-paced world. But they cannot leave their jobs and attend a full-time course.

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Certification Recruitment Management Technology 52

ProjectPro

JANUARY 31, 2023

If you are a machine learning engineer or a data scientist, learning how to save a machine learning model is the one of the most crucial steps for you to reuse the model without having to train it from scratch. Whether you’re a data science beginner or a seasoned pro, this blog will help you save time and resources by helping you understand how to use your trained models effectively.

Machine Learning 52

Machine Learning Data Science Python Programming Language 52

Monte Carlo

JANUARY 31, 2023

Shane Murray contributed to this article. My co-founder has been all-in on data contracts from the start. For those unfamiliar with the hottest emerging data engineering concept of 2022, data contracts are designed not just to fix, but prevent data quality issues that arise from unexpected schema changes and data swamps. We wrote an introduction guide with more detail, but essentially data contracts involve working with data consumers to develop the schema and semantic requirements for productio

Software Engineer 52

Software Engineer Software Engineering Food Data Warehouse 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

Knoldus

JANUARY 31, 2023

Reading Time: 6 minutes Migrating data on Google Cloud BigQuery may seem like a straightforward task, until you run into having to match old data to tables with different schemas and data types. There are many approaches you can take to moving data, perhaps using SQL commands to transform the data to be compatible with the new schema. However, SQL has limitations as a programming language, being a query-centric Continue Reading The post Google Cloud Platform: Migrating Data to New Schemas on Big

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Google Cloud Cloud Programming Language SQL 52

Monte Carlo

JANUARY 31, 2023

The second annual IMPACT: Data Observability Summit took place on October 25-26, 2023. The event brought some of the industry’s biggest voices together with leaders and practitioners across the data community for two days of thought leadership, networking, and community development to ignite the future of data. Couldn’t attend the event? Check out the keynotes below or click the link at the bottom for access to the full event on demand.

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Data Accessible Accessibility 52

DoorDash Engineering

JANUARY 31, 2023

App startup time is a critical metric for users, as it’s their first interaction with the app, and even minor improvements can have significant benefits for the user experience. First impressions are a big driver in consumer conversion, and startup times often indicate the app’s overall quality. Furthermore, other companies found that an increase in latency equals a decrease in sales.

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Architecture Engineering Process Coding 113

Engineering at Meta

JANUARY 31, 2023

We’ve made architecture changes to Meta’s event driven asynchronous computing platform that have enabled easy integration with multiple event-sources. We’re sharing our learnings from handling various workloads and how to tackle trade offs made with certain design choices in building the platform. Asynchronous computing is a paradigm where the user does not expect a workload to be executed immediately; instead, it gets scheduled for execution sometime in the near future without blocking the la

Transportation 105

Transportation Architecture Data Warehouse MySQL 105

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

ProjectPro

JANUARY 31, 2023

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? Read this blog to learn more about how the insurance industry benefits from implementing AI and ML solutions, which highlights the most practical applications and real-world use cases of machine learning in insurance and how it brings a new level of precision and effciency to the industry.

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Insurance Machine Learning Project Algorithm 75

Snowflake

JANUARY 31, 2023

A number of blog posts, mainly from competitors, call out Snowflake as expensive. But in our conversations with customers, we frequently hear that Snowflake provides the best value for the money of any enterprise data platform option available today. So what gives? The fact is that data platforms are not created equal, and comparing the total cost and the value derived from one with another is difficult.

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Cloud Data Programming Language SQL 62

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. This is particularly true when working with complex deep-learning models that require large amounts of data to perform well. However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Snowflake

JANUARY 31, 2023

Accurately defining customer identity is the foundation of building personalized customer experiences. It’s not getting any easier as customer expectations continue to rise. We, as customers, increasingly expect to be understood by the brands we engage with, and identity is key to this understanding. Yet marketers struggle with not only gaining an accurate picture of customer identity, but maintaining it as the customer journey continues across devices, channels, and interactions.

Technology 52

Technology Data Data Analytics Building 52

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

Striim

JANUARY 31, 2023

Low code development is a powerful tool for businesses looking to streamline their processes and improve efficiency. Striim is a low-code platform that provides users with a variety of benefits, including the ability to quickly and efficiently process and analyze data in real time. By joining the Striim community, low-code users can take advantage of the following benefits: Real-time analytics : One of the key benefits of using Striim is the ability to process and analyze data in real time.

Coding 52

Coding Data Lake Database Cloud 52

Monte Carlo

JANUARY 31, 2023

One of the fastest-growing companies in Europe, Checkout.com is charting the future of finance and payments. Founded in 2009 and headquartered in London, the company offers an end-to-end global platform that enables businesses and communities to thrive in the digital economy. By nature of its work in the financial services industry, Checkout.com deals with huge volumes of data on a daily basis.

Data 52

Data High Quality Data Data Engineering Data Engineer 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Get ready to expand your knowledge and take your big data career to the next level!

Big Data 52

Big Data Hadoop AWS Relational Database 52

LinkedIn Engineering

JANUARY 31, 2023

A mom of three, military veteran, and former white-hat hacker, Eynav joined LinkedIn through the acquisition of the marketing analytics startup, Oribi. Now as the engineering leader behind our new LinkedIn Tel Aviv office, she shares more about the transition, building our engineering team in Israel, and creating opportunities for women in engineering: Throughout my career, I gravitated towards both coding and helping other engineers excel in their roles.

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Engineering Computer Science Big Data Algorithm 80

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Building