April, 2023

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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

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Is Critical Thinking the Most Important Skill for Software Engineers?

The Pragmatic Engineer

When I think back on the software engineers I looked up to, they all shared this trait where they never took anything at face value. They regularly questioned statements that did not make sense to them, no matter how small the topic was: even if it involved admitting they did not understand a concept. After a while, I started adopting this approach.

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DuckDB vs Polars for Data Engineering.

Confessions of a Data Guy

I was wondering the other day … since Polars now has a SQL context and is getting more popular by the day, do I need DuckDB anymore? These two tools are hot. Very hot. I haven’t seen this since Databricks and Snowflake first came out and started throwing mud at each other. You might think […] The post DuckDB vs Polars for Data Engineering. appeared first on Confessions of a Data Guy.

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Mastering Generative AI and Prompt Engineering: A Free eBook

KDnuggets

In short, generative AI — and the prompts that power them — are everywhere. But beyond the basics, what do you really know about either? Perhaps you would find a concise, focused ebook on the topics useful.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM

databricks

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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How Device Verification protects your WhatsApp account

Engineering at Meta

WhatsApp has launched a new security feature that further helps prevent attackers from using vectors like on-device malware. This security feature, called Device Verification, requires no action or additional steps from users and helps protect your account. This feature is part of our broader work to increase security for our users from the growing threat of malware.

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More Trending

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Behind the Scenes with Two New Salary Transparency Websites

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive into Figma’s engineering culture. To get full newsletters twice a week, subscribe here.

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Viral spam content detection at LinkedIn

LinkedIn Engineering

On the LinkedIn platform, members from around the world share their knowledge, perspectives, and discuss topics important to them. Our goal at LinkedIn is to enable them to do so in a safe, trusted, and professional environment. We’ve previously discussed the various systems used to create a safe and trusted experience for our members and how we keep the LinkedIn Feed relevant for our members on LinkedIn.

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A Guide to Top Natural Language Processing Libraries

KDnuggets

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

Process 159
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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT.

Building 118
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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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Improved Alerting with Atlas Streaming Eval

Netflix Tech

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. Engineers want their alerting system to be realtime, reliable, and actionable.

Database 113
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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? We will be answering all these […] The post What is Data Analytics?

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The state of startup funding

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 Scoop issue. To get full newsletters twice a week, subscribe here. A recent report in Carta’s newsletter caught my eye: The state of angel investing, as reported by Carta. Source: Carta’s The Data Minute newsletter Angel rounds – or pre-seed rounds – usually total less than $1M in funding raised.

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Introducing Entity-Centric Data Modeling for Analytics

Preset

Entity-centric modeling is a data modeling approach focusing on enriching tabular datasets with useful "features" to enable segmentation, cohort creation, and complex classification analyses easier.

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How to Build an Experimentation Culture for Data-Driven Product Development

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

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LangChain 101: Build Your Own GPT-Powered Applications

KDnuggets

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

Building 159
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How We Performed ETL on One Billion Records For Under $1 With Delta Live Tables

databricks

Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.

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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents.

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Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

Analytics Vidhya

Are you a data enthusiast looking to break into the world of analytics? The field of data science and analytics is booming, with exciting career opportunities for those with the right skills and expertise. But with so many job titles and buzzwords floating around, figuring out which path to pursue can be challenging. So, let’s […] The post Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Uber’s engineering level changes

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get full newsletters twice a week, subscribe here. This is a bit of a ‘late scoop,’ which I initially missed when it happened. Better late than never! Until early 2022, the software engineering levels at Uber were: Engineering levels at Uber, 2014-2022 Back when I was at Uber in around 2020, I saw statisti

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A fine-grained network traffic analysis with Millisampler

Engineering at Meta

What the research is: Millisampler is one of Meta’s latest characterization tools and allows us to observe, characterize, and debug network performance at high-granularity timescales efficiently. This lightweight network traffic characterization tool for continual monitoring operates at fine, configurable timescales. It collects time series of ingress and egress traffic volumes, number of active flows, incoming ECN marks, and ingress and egress retransmissions.

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Unveiling the Potential of CTGAN: Harnessing Generative AI for Synthetic Data

KDnuggets

CTGAN and other generative AI models can create synthetic tabular data for ML training, data augmentation, testing, privacy-preserving sharing, and more.

Data 159
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Enroll in our New Expert-Led Large Language Models (LLMs) Courses on edX

databricks

Enroll in the introductory course on edX today! The course will begin Summer 2023. New Large Language Model Courses with edX As Large.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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The BEST Resources to Level Up Your Data Streaming Knowledge!

Confluent

All the best data streaming resources, tips, and guides to help you learn introductory concepts, streaming architecture basics, common tools and technologies, and more.

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Academia to Industry: Data Science Graduate Programs for South Africa’s Future

Analytics Vidhya

Introduction South Africa is not an exception as data science-driven economic change sweeps the world. The nation is seeing an increase in demand for qualified data science workers as a result of its booming IT sector and developing data-driven industries. Effective Graduate Training Programmes, Graduate Development Programmes, and Graduate Programs in data science must be […] The post Academia to Industry: Data Science Graduate Programs for South Africa’s Future appeared first on An

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DoorDash identifies Five big areas for using Generative AI

DoorDash Engineering

In the wake of ChatGPT and Generative AI DoorDash is identifying ways this new technology can enhance the customer’s ordering experience on the platform. The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information.

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Catching up with OpenAI by Chris Price

Scott Logic

It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. This post runs through just over six months of progress from Sept 2021 - March 2022. Recursive task decomposition September 2021 One of the big constraints of the GPT series of models is the size of the input.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

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Data capture techniques for business

InData Labs

Gaining valuable insight into customer preferences and concerns is paramount to the success of any business. The most efficient way of doing so is by implementing sophisticated yet straightforward data capture techniques. These involve types of data capture methods such as surveys, interviews, focus groups, market studies, and many more. Knowing your customers’ needs and.

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How Does Scrum Master Facilitate Events?

Knowledge Hut

Scrum Masters are important to the success of Scrum teams because they lead many of the activities that make sure the team works well together, improve consistency, and gives the client something of value. In this article, we will look at how a scrum master facilitates events such as daily scrum meetings, sprint planning, sprint review, and sprint retrospective meetings.

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Ace Your Data Science Skills with DataHour Sessions

Analytics Vidhya

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat. These sessions will cover everything from conversational intelligence to people analytics covering topics like […] The post Ace Your Data Science Skills with DataHour Sessions appeared first on Analytics Vidhya.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.