Analytics Vidhya

JULY 6, 2023

Introduction In this era of Generative Al, data generation is at its peak. Building an accurate machine learning and AI model requires a high-quality dataset. The quality assurance of the dataset is the most critical task, as poor data causes inaccurate analytics and unidentified predictions that can affect the entire repo of any business and […] The post Getting Started with Amazon SageMaker Ground Truth appeared first on Analytics Vidhya.

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Datasets Machine Learning Building Algorithm 236

The Pragmatic Engineer

JULY 6, 2023

Originally published 6 July 2023 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on What a senior engineer is at Big Tech. To get the full issues twice a week, subscribe here.

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Google Cloud Media Cloud Utilities 227

Confessions of a Data Guy

JULY 7, 2023

Sometimes it seems like the Data Engineering landscape is starting to shoot off into infinity. With the rise of Rust, new tools like DuckDB, Polars, and whatever else, things do seem to shifting at a fundamental level. It seems like there is someone at the base of a titering rock with a crowbar, picking and […] The post Ballista (Rust) vs Apache Spark.

Data Engineering 130

Data Engineering Data Engineer Engineering Data 130

Waitingforcode

JULY 6, 2023

That's often a dilemma, whether we should put multiple sinks working on the same data source in the same or in different Apache Spark Structured Streaming applications? Both solutions may be valid depending on your use case but let's focus here on the former one including multiple sinks together.

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Data 130

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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

Christophe Blefari

JULY 3, 2023

2 summits ( credits I cropped the image) Hey, since I said I should try to send the newsletter at a specific schedule I did not. Haha. Still here the newsletter for last week. This is a small wrap-up from the Snowflake and Databricks Data + AI summits which have taken place last week. There are so many sessions at both summits that this is impossible to watch everything, more Databricks and Snowflake do not put in free access online everything so I can't wait everything.

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SQL Data Kafka AWS 130

Data Engineering Podcast

JULY 2, 2023

Summary Feature engineering is a crucial aspect of the machine learning workflow. To make that possible, there are a number of technical and procedural capabilities that must be in place first. In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

KDnuggets

JULY 7, 2023

Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement loading framework: from agents and rewards to value functions, policy, and more.

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Machine Learning 97

Knowledge Hut

JULY 4, 2023

Pattern recognition is a field of computer science that deals with the automatic identification of patterns in data. This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection.

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Machine Learning Medical Algorithm Deep Learning 98

Towards Data Science

JULY 5, 2023

And how to ingest valuable data for free Photo by Tobias Fischer on Unsplash Data modeling can be a challenging task for analytics teams. With unique business entities in every organization, finding the right structure and granularity for each table becomes open-ended. But fear not! Some of the data you need is simplistic, free, and occupies minimal storage.

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Data Warehouse BI Datasets Python 88

ArcGIS

JULY 3, 2023

Learn more about 3D GIS and Digital Twins at the 2023 Esri User Conference, which takes place on July 11-14, 2023.

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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 6, 2023

This article delves into the concept of Chain-of-Thought (CoT) prompting, a technique that enhances the reasoning capabilities of large language models (LLMs). It discusses the principles behind CoT prompting, its application, and its impact on the performance of LLMs.

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IT 95

Knowledge Hut

JULY 3, 2023

In a world of limitless possibilities driven by cutting-edge technology, innovations, and artificial intelligence, businesses can no longer rely on traditional models for opportunities and expansion. While traditional KPIs may still be important to certain aspects of business and economics, current times demand more enduring efforts to match up with the fast-paced environment and business tactics.

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Lyft Engineering

JULY 5, 2023

By Yuko Yamazaki a Senior Director of Engineering on Lyft’s Customer Platform Team & the Founder of Lyft’s Equitable Development Initiative (EDI). Lyft’s Tech Diversity Over the last three years, Lyft has increased the representation of Underrepresented Minorities (URM) in technical leadership roles by more than three times. At Lyft, URM is defined as team members from Women, Black, and Latinx communities, and technical leadership roles are defined as Staff+ IC and M1+ manager roles.

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Programming Engineering Management Designing 74

ArcGIS

JULY 7, 2023

ArcGIS methods to maintain measure attributes on LRS routes along with samples and linear referencing use cases.

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Utilities Transportation 98

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 1, 2023

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.

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Building Healthcare Structured Data Architecture 93

Knowledge Hut

JULY 6, 2023

Lean in project management, where the word ‘lean’ is associated with less wastage and more value addition. Lean is an Agile methodology that helps industries to improve productivity, increase customer value, eliminate problems, enhance the organization’s processes, reduce waste, and encourage continuous improvement. Historically, it was first introduced in the manufacturing industry, but today it is prevalent in almost every industry, including healthcare, education, software d

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Project Management Manufacturing Transportation 98

databricks

JULY 6, 2023

This is part six of a multi-part series to share key insights and tactics with Senior Executives leading data and AI transformation initiatives.

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Data Analytics Data 80

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights. With DBT, they weave powerful SQL spells to create data models that capture the essence of their organization’s information.

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Data Warehouse SQL PostgreSQL Database 69

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 5, 2023

Data Science Project of Rotten Tomatoes Movie Rating Prediction: First Approach • 10 AI Chrome Extensions for Data Scientists Cheat Sheet • Generate Music From Text Using Google MusicLM • 5 Free Books on Natural Language Processing to Read in 2023 • Stable Diffusion: Basic Intuition Behind Generative AI

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Data Science Project Data Process 87

Towards Data Science

JULY 5, 2023

∘ Introduction ∘ Problem Statement ∘ Data ∘ AWS Architecture ∘ Data Storage with AWS S3 ∘ Designing the Schema ∘ ETL with AWS Glue ∘ Data Warehousing with AWS Redshift ∘ Extracting Insights…

AWS 66

AWS BI Data Storage Architecture 66

databricks

JULY 5, 2023

Get started and build a credit data platform for your business by visiting the demo at dbdemos.ai. Introduction According to the World Bank's.

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Building Banking Data 79

Confluent

JULY 6, 2023

Meet Senior Software Engineer Ankit Garg. Find out about all the interesting projects he’s working on—and how Confluent provides him with opportunities for growth.

Software Engineer 62

Software Engineer Software Engineering Project Engineering 62

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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 3, 2023

3 Ways to Access GPT-4 for Free • Evolution of the Data Landscape • AI Chrome Extensions for Data Scientists Cheat Sheet • 7 Ways ChatGPT Makes You Code Better and Faster • A Comparison of Machine Learning Algorithms in Python and R

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Accessible Accessibility Algorithm Machine Learning 85

Towards Data Science

JULY 5, 2023

Understanding ACID properties in the context of database transactions Continue reading on Towards Data Science »

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Data Science Database Data SQL 73

databricks

JULY 5, 2023

This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.

Data Governance 66

Data Governance Government Architecture Engineering 66

Striim

JULY 7, 2023

A guide on when real-time data pipelines are the most reliable way to keep production databases and warehouses in sync. Sarah Krasnik · Published in Towards Data Science · Oct 7, 2022 Photo by American Public Power Association on Unsplash Co-written with John Kutay of Striim Data warehouses emerged after analytics teams slowed down the production database one too many times.

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PostgreSQL MySQL Data Warehouse Data Pipeline 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 6, 2023

Project management can be one of the biggest challenges in data science projects. Learn how you can ensure your project management methods are down-packed and effective.

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Data Science Project Management Data 87

Scott Logic

JULY 7, 2023

In this post, I share the top things that resonated with me from the Reset Connect Conference 2023 and crucially some of the topics that I felt were missing – and that we at Scott Logic are actively researching and working on. To give you some context, the event is the UK’s largest sustainability ecosystem and green investment event – the flagship event of London Climate Action Week.

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Technology Accessible Accessibility IT 52

Knowledge Hut

JULY 7, 2023

Software engineering, in general, is a dynamic and rapidly changing field that demands a thorough understanding of concepts related to programming, computer science, and mathematics. As software systems become more complicated in the future, software developers must stay updated on industry innovations and the latest trends. Working on software engineering research topics is an important part of staying relevant in the field of software engineering.

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Software Engineer Software Engineering Engineering Data Mining 52

Hevo

JULY 6, 2023

You’re trying to extract data from your source to Redshift, but you can’t seem to find a tool that provides a native connector. So what do you do in that case? REST APIs serve as the “middlemen” that allow you to move data from your source to Redshift.

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Data 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