Wed.Sep 28, 2022

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How to Correctly Select a Sample From a Huge Dataset in Machine Learning

KDnuggets

We explain how choosing a small, representative dataset from a large population can improve model training reliability.

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Whale Safe: Tool for Mitigating the Whale Strikes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction No one wins when a ship arrives at a port with a critically endangered whale wrapped around its bow right beneath the company’s brand logo. Recently, it has been noticed that due to the rapidly transforming ocean ecosystem and deteriorating ocean health, […].

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Cloud Computing Realities Part 2: Hybrid and Multi-Cloud Architectures

David Menninger's Analyst Perspectives

In my first perspective on cloud computing realities , I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments.

Modeling 157
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Automate Model Deployment with GitHub Actions and AWS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In a typical software development process, the deployment comes at the end of the software development life cycle. First, you build software, test it for possible faults, and finally deploy it for the end user’s accessibility. The same can be applied to […].

Modeling 319
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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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Safety and Security Tips To Know in the Era of Big Data

Smart Data Collective

Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised. There are also physical safety issues associated with using the hardware that big data depends on.

Big Data 125
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The Origin of Big Data Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Big data is now an unreplaceable part of tech giants and businesses. Business applications range from customer fraud detection to personalization with extensive data analytics dashboards. They also lead to more efficient operations. Computing power and automation capability are essential for big […].

Big Data 289

More Trending

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Data Warehouse for the Beginners!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The concept of data warehousing dates to the 1980s. IBM is one name that easily enters the picture whenever long history in computer science is involved. DHW, short for Data Warehouse, was presented first by great IBM researchers Barry Devlin and Paul […]. The post Data Warehouse for the Beginners!

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Top Posts September 19-25: 7 Machine Learning Portfolio Projects to Boost the Resume

KDnuggets

7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solved.

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Complete Introduction to DAX in Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you’re new to Power BI Desktop, this post is for you. You’ll learn the fundamentals of Data Analysis Expressions (DAX) and how to apply them to common math and data analysis tasks in no time. We’ll review some abstract concepts, give […]. The post Complete Introduction to DAX in Power BI appeared first on Analytics Vidhya.

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Become an AI Artist Using Phraser and Stable Diffusion

KDnuggets

Generate the prompt using Phraser and create realistic art using the Diffusion model.

Modeling 158
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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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Apache Airflow: How to Dynamically Fetch Data and Email?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Automating redundant jobs with workflow management tools saves a considerable amount of time and resources. Apache Airflow is currently the market leader in workflow management tools. Airflow is open-source and comes pre-packed with many operators, hooks, sensors, and much more, covering a […].

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14 ways to advance your IT career

CIO Business Intelligence

Perhaps your tech career feels like youâ??re treading water, and you wonder why your peers are progressing more quickly than you are. Or maybe youâ??re looking to shake things up and take the next step in your career. Regardless, itâ??s helpful to regularly pause, reflect, take the long view to optimizing your path, and stay open to new opportunities.

IT 111
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Data Warehouse in Azure SQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Data Warehouse SQL Data Warehouse is also a cloud-based data warehouse that uses Massively Parallel Processing (MPP) to run complex queries across petabytes of data rapidly. Use SQL Data Warehouse as a key part of your big data solution. Import big […]. The post Data Warehouse in Azure SQL appeared first on Analytics Vidhya.

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Exit interview: Sainsbury’s retiring CIO Phil Jordan reflects on a career in IT

CIO Business Intelligence

Sainsburyâ??s group CIO Phil Jordan has announced heâ??ll retire in March 2023 after a 35-year career in technology, spanning country, regional and group CIO roles across telecommunications, financial services, industrial gas and retail. He recalls his career highlights, leadership lessons while working abroad, and how CIOs can become future CEOs â??

IT 105
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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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KDnuggets News, September 28: Lessons from a Senior Data Scientist • The Absolute Basics of MLOps

KDnuggets

Free Algorithms in Python Course • Lessons from a Senior Data Scientist • The Absolute Basics of MLOps • Data Analyst Skills You Need for Your Next Promotion • Dimensionality Reduction Techniques in Data Science.

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Crucial Advantages of Investing in Big Data Management Solutions

Smart Data Collective

Did you know that around 2.5 quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place. A data management solution helps your business run more efficiently by making sure that your data is reliable and secure.

Big Data 101
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IT pros say tech budgets to stay strong, but mainly for big companies

CIO Business Intelligence

While a new forecast released Monday by Spiceworks/Ziff Davis said that overall IT spending will be largely unhampered by recessionary trends in the economic outlook, much of that spending will be driven by large enterprises, leaving the picture much murkier for small and medium-size businesses. The forecast is based on a survey of IT professionals in the US and Europe, which was performed this summer by Aberdeen Research.

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Which is Best: Data Science Bootcamp vs Degree vs Online Course

KDnuggets

Let’s break down each of the three options: the pros, the cons, the cost, and what you can expect to get out of them in the end.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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How public sector organisations can take complexity out of the cloud

CIO Business Intelligence

Educational institutions are continuing to accelerate their use of technologies such as e-learning, VR and AI-driven chatbots in order to facilitate remote and hybrid learning. Many expect the use of these digital technologies to become a permanent change, having recognised the flexibility and productivity benefits it can bring. In a recent survey with leading institution across Germany, Ireland, Netherland and Sweden- close to half (46%) of campus IT and faculty say that greater use of social m

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Free Serverless ML Course with Python

KDnuggets

Build Batch and Real-Time Prediction Services with Python.

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How cloud migration is transforming the education sector

CIO Business Intelligence

The digital transformation of the education sector is accelerating at pace. You donâ??t need to look far to find powerful examples of how data is helping to enrich both student and educator outcomes. Gardens, Libraries and Museums of The University of Oxford digitised its collections and reduced storage costs by 50-60% and avoided a management cost increase of 13% with the cloud.

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Why Alation Is One of UK’s Best Workplaces™ in Tech 2022

Alation

Working at a data company doesn’t mean you expect to be treated like a number. That’s certainly not the case at Alation. We’re a diverse, global, mostly remote workforce of 600 ( and counting! ) Alationauts. This year alone, we were named a 2022 UK’s Best Workplaces™ for Women , joined Inc. magazine’s annual list of the Best Workplaces for the third time, and rock a 4.6/5 rating on Glassdoor.

Sales 52
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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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How public sector organisations can keep cloud costs under control

CIO Business Intelligence

As a result of the widespread shift to hybrid working and learning brought about by the pandemic, the cloud continues to play a critical role for public sector organisations â?? particularly those in the education sector. Enlightened by the accelerated digital transition over the past two years, students, researchers and staff are now demanding cloud-hosted resources and online lessons, and are vying for access to modern tools and services.

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Graph Neural Networks: Graph Classification (Part III)

Dataiku

When It Comes to Labeling Whole Graphs, Not Just Nodes. Many real-life situations can be modeled as graphs, but turning the relational structure of these graphs into valuable information that can help solve complex tasks is a real challenge.

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Financial Services AI in the Hybrid/Multi-Cloud: Harness Data Gravity with Hybrid MLOps

Domino Data Lab

By David Schulman , Head of Partner Marketing , and Nathan Greenhut , Global Head of Financial Services and Insurance. How do you balance the need for innovation and efficiency in FSI with the need for compliance and good governance? That's a critical question for the financial services and insurance industries to answer, because AI, ML, and the hybrid/multi-cloud are among the most important technology trends of our time.

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What Is DataOps? Definition, Principles, and Benefits

Alation

What exactly is DataOps ? The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. This is nothing new, as 74% of respondents indicated that new compliance and regulatory requirements have accelerated the adoption of DataOps (IDC).

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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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Predictive Analytics Business Use Cases Ensure Results!

Smarten

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Your business, like every other business in the world, has its own industry, domain and vertical concerns, and these concerns drive your competitive strategy, your products and your services.

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Snapshots to the Rescue

Nutanix

Build a bulletproof data protection plan powered by Nutanix snapshots and industry-leading backup vendors

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Selecting a Chart Based on the Number of Variables

The Data Visualisation Catalogue

When you’re first considering how to visualise your data, one important factor is the number of variables present in the dataset. Often the term ‘dimension’ is used, but it’s interchangeable with the term ‘variable’. So the terms multidimensional, multivariate and multivariable in data visualisation tend to all mean the same thing. But a mathematician might argue otherwise, so we’ll stick to the terms variable and multivariable.

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Using automation to optimise the student lifecycle

CIO Business Intelligence

Understanding the student lifecycle isnâ??t easy. With more higher education institutions attempting to embrace digital learning, there is a growing need for visibility throughout the student journey. By gathering data across every student, faculty and alumni touchpoint, institutions can optimise each stage of the admission and onboarding process. .

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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.