Mon.Apr 24, 2023

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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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Dealing With Noisy Labels in Text Data

KDnuggets

The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model. The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset.

Datasets 117
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Gaining Control of Your CDP Environment

Cloudera

Unwelcome… … are platform instability, downtime, hardware failure, poor performance, cluster resource contention, repeated process failures, runaway live queries, critical services alarms, invisibility into alarm cacophony… the list goes on. If those are ailments you would like to remedy … Welcome! To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment.

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MiniGPT-4: A Lightweight Alternative to GPT-4 for Enhanced Vision-language Understanding

KDnuggets

MiniGPT-4 possesses many capabilities of GPT-4 like generating image descriptions, creating a website with a hand-written draft, and writing a poem based on an image.

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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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??Kafka Summit London 2023: Level Up Your Kafka Experience!

Confluent

Kafka Summit 2023 brings 60+ sessions, keynotes, and lightning talks, and more from industry leaders. Check out the agenda, highlights, networking events, and more event info.

Kafka 73
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The Ethics of AI: Navigating the Future of Intelligent Machines

KDnuggets

Why does the continuous growth and future of intelligent machines concern ethics?

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Building an ELT Pipeline in Python and Snowflake

Towards Data Science

Extracting, Loading and Transforming Data Continue reading on Towards Data Science »

Python 98
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Processing data simultaneously from multiple streaming platforms using Delta Live Tables

databricks

One of the major imperatives of organizations today is to enable decision making at the speed of business. Business teams and autonomous decisioning.

Process 61
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Drive Better Business Strategy with Fast and Easy Data Enrichment

Precisely

In virtually every organization, people are talking about how to make data-driven decisions. Forward-looking companies around the globe invest billions in digital transformation. They’re focusing on advanced analytics, data quality , data enrichment tools , and integration technology. Their goal is to support better strategic and tactical decisions.

Retail 52
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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases.

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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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What are Project Requirements: Types, Process, Examples, Tips

Knowledge Hut

Project requirements refer to the specific goals, objectives, functionalities, and features that a project must meet or possess to be considered successful. These requirements are typically outlined at the beginning of a project and serve as a guide throughout the project's lifecycle. Project requirements are the foundation of the project and ensure that everyone involved is working towards a common goal.

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Flutter Animations – Creating Engaging Mobile Apps with Flutter Animations

Edureka

Flutter animations are a key component of creating engaging and immersive mobile app experiences. With Flutter’s built-in animation libraries and customizable widgets, developers can create stunning animations that respond to user interactions and data changes. From simple fade-ins and slide-outs to more complex physics-based interactions, Flutter’s animation capabilities offer a wide range of possibilities for enhancing the user experience.

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13 Best Product Owner Tools You Should Master in 2023

Knowledge Hut

The product owner prioritizes backlogs, plans product development stages, interprets, and works up to customers’ requirements. A fundamental part of the agile methodology, the product owner curates and handles the vision board. But with this role comes an amalgamation of principles and some undeniable product owner tools. Agile methodology is a continuous effort and requires the product owner to have a vision before anything else.

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UI vs UX Design: Understanding the Differences and Synergies

Edureka

In the world of digital products, two design terms are often thrown around – UI and UX. UI stands for User Interface, while UX stands for User Experience. Although they sound similar, UI and UX design are two distinct disciplines with different objectives, methods, and outcomes. In this blog post on UI vs UX design, we will explore the differences between UI and UX design with the following Content: What is UI Design?

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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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Who is an Agile Product Owner? Skills, Responsibility, Salary

Knowledge Hut

For anyone who’s handling a project or is about to commence one - the best suit is to be ready for the most unexpected. Employers are on the lookout for product owners with exceptional technical knowledge, soft skills, and an adaptable mentality as these traits are typically the foundations for everything. Along with mastering these must-haves, you must also opt for Agile Management Certification to strengthen your profile against the competitive edge.

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Data Transformation Best Practices for Your Workflow[+6 Data Transformation Challenges]

Hevo

Data transformation is a critical process that you must undertake to convert data from one format to another, ensuring its accuracy and reliability. However, it comes with its fair share of challenges. You may face hurdles from data quality issues to security concerns during data transformation.

Data 52
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10 Critical Data Observability Use Cases | Acceldata

Acceldata

These 10 data observability use cases are essential to help data teams optimize their data pipelines, minimize data errors and issues, and enable data-driven decision-making.

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Mastering AI-Powered Product Development: Introducing Promptimize for Test-Driven Prompt Engineering

Preset

Join the open-source prompt engineering project, Promptimize ([link] Learn about its applications in business intelligence (BI).

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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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Build vs Buy Data Pipeline Guide

Monte Carlo

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. In Part 3 of our Build vs. Buy series, Nishith Agarwal, Head of Data & ML Platforms at Lyra Health and creator of Apache Hudi, draws on his experiences at Uber and Lyra Health to share how his 5 considerations—cost, complexity, expertise, time to value, and competitive advantage—impacts th

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How we reduced a 6-hour runtime in Alteryx to 9 minutes in dbt

dbt Developer Hub

Alteryx is a visual data transformation platform with a user-friendly interface and drag-and-drop tools. Nonetheless, Alteryx may have difficulties to cope with the complexity increase within an organization’s data pipeline, and it can become a suboptimal tool when companies start dealing with large and complex data transformations. In such cases, moving to dbt can be a natural step, since dbt is designed to manage complex data transformation pipelines in a scalable, efficient, and more explicit

BI 83
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Data Testing vs. Data Quality Monitoring vs. Data Observability: What’s Right for Your Team?

Monte Carlo

Struggling with data quality? You’re not alone. But how should you get started? We walk through the three most common approaches and their tradeoffs. When it comes to making your data more reliable at scale, there are a few routes you can take: (1) test your most critical pipelines and hope for the best, (2) automated data quality monitoring, (3) end-to-end data observability.

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Agile Product Management: Roadmap, Tools, Best Practices

Knowledge Hut

Agile product management is a new way to develop products to focus on collaboration, flexibility, and development. This method has become more popular as businesses try to respond quickly to changing market conditions and customer needs. Agile product management allows teams to work together efficiently and effectively by using iterative development cycles to make high-quality products that meet customer needs.

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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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Unlocking the Value of Telecom Data: Why It’s Time to Act

Snowflake

Telecoms are the connecting tissue of the modern economy. They run everything from transportation, digital banking, utilities/energy smart meters, IoT devices, gaming services, and more. In today’s world, telecoms are as important as electricity, and their importance is only growing with the advent of 5G and 6G hyperconnectivity. Last month the world’s largest telecom conference, Mobile World Congress , was held in Barcelona, and the event was back to its full strength since the pandemic.

Retail 52
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How the Financial Services Industry Is Modernizing Asset Management with Snowflake

Snowflake

Today, the asset servicing industry is constrained by highly manual, as well as time-intensive processes from poorly integrated legacy technology platforms and data silos. But with greater market volatility, ongoing macroeconomic repercussions from the global pandemic, and changing customer expectations, asset managers and institutional investors are demanding a greater line of sight with timely reporting and analytics.