July, 2023

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AI Image Generation Explained: Techniques, Applications, and Limitations

AltexSoft

Imagine walking through an art exhibition at the renowned Gagosian Gallery , where paintings seem to be a blend of surrealism and lifelike accuracy. One particular piece catches your eye: it depicts a child staring at the viewer with wind-tossed hair, evoking the feel of the Victorian era through its coloring and what appears to be a simple linen dress.

Medical 64
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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

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?

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Polars vs Pandas. Inside an AWS Lambda.

Confessions of a Data Guy

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
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Twitter vs Instagram Threads: two different approaches to throttling

The Pragmatic Engineer

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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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Data News — mid-2023 popular articles

Christophe Blefari

🧜‍♂️ ( 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
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A Tour Around Buck2, Meta's New Build System

Tweag

Meta recently announced they have made Buck2 open-source. Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. We were thrilled to have the opportunity to work with Meta on Buck2 to help make the tool useful and successful in the open-source use case.

Systems 140

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Getting Started with Amazon SageMaker Ground Truth

Analytics Vidhya

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.

Datasets 236
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Anomaly Detection with Machine Learning Overview

Knowledge Hut

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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The Pulse: VanMoof files for bankruptcy protection

The Pragmatic Engineer

👋 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 Pulse issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on Software architect archetypes. To get the full issues, twice a week, subscribe here. Before we start, a small change.

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Modern Overview of the MIT CDOIQ Symposium

The Modern Data Company

Modern Announces Partnership with Data Mesh Pioneers, ThoughtWorks In July, we collaborated with ThoughtWorks at the annual CDOIQ Conference in Cambridge, MA to discuss real-world Data Products implementation and best practices for Data Mesh. The data community, especially CDOs, emphasized the importance of raising awareness and gaining clarity about data products.

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Get Better Network Graphs & Save Analysts Time

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.

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How to design a dbt model from scratch

Towards Data Science

A simple framework for building dbt models that actually get used. When I was researching the Ultimate Guide to dbt , I was shocked by the lack of material around actually building models from scratch. Not the exact steps to take in the tool — that is all covered in innumerable blogs and tutorials. I mean how do you know the right design? How do you make sure your stakeholders will use that model?

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Introduction to Statistical Learning, Python Edition: Free Book

KDnuggets

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 103
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Introducing the Connect with Confluent Partner Program: Supercharging Customer Growth and Extending the Data Streaming Ecosystem

Confluent

Gain the easiest solution for data streaming and increase data flow to your platform through native integrations with Confluent Cloud and 120+ Kafka connectors.

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Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

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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Understanding User Needs and Satisfying Them

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.

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Building your Generative AI apps with Meta's Llama 2 and Databricks

databricks

Today, Meta released their latest state-of-the-art large language model (LLM) Llama 2 to open source for commercial use1. This is a significant development.

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Snowflake’s Performance Optimizations Help ESO Reduce Costs by 60%

Snowflake

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives. If you call 911 and a fire or medical team responds, it’s likely they’re using ESO software to make sure you get the right help fast.

Medical 88
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Unlocking Data Modeling Success: 3 Must-Have Contextual Tables

Towards Data Science

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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Reinforcement Learning: Teaching Computers to Make Optimal Decisions

KDnuggets

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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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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Unleashing Data Potential: Chaining Data Products for Powerful Use Cases

The Modern Data Company

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.

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What is Operation Research in Project Management?

Knowledge Hut

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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Introducing Databricks Assistant, a context-aware AI assistant

databricks

Today, we are excited to announce the public preview of Databricks Assistant, a context-aware AI assistant, available natively in Databricks Notebooks, SQL editor.

SQL 92
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How ThoughtSpot Partnered with Google Cloud to put AI at the center of BI

ThoughtSpot

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data. In order to achieve this vision, we knew we’d need to work with some of the best, most innovative technology companies across the modern data stack —companies that put their users fir

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Reality – What is it good for?

ArcGIS

Reality for ArcGIS Pro products power countless real-world applications in operational environments, and enable well informed decisions.

IT 98
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Unraveling the Power of Chain-of-Thought Prompting in Large Language Models

KDnuggets

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.

IT 95
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Confluent's Commitment to Data Privacy: Announcing ISO 27701 Certification

Confluent

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

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Everything You Need to Know about Lean Project Management

Knowledge Hut

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

Project 98
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Patient Disease Risk Prediction with Lakehouse

databricks

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

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Volunteer Spotlight: Big Day in the UK!

Cloudera

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.

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How to make features illuminate an underlying basemap

ArcGIS

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?

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Textbooks Are All You Need: A Revolutionary Approach to AI Training

KDnuggets

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 99
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.