Tue.Jun 01, 2021

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Doing Power BI the Right Way: 10. Designing and managing large datasets

Paul Turley

Part of the the series: Doing Power BI the Right Way Later in this post, you will find a 27 minute framed video including a series of interviews and discussions with a few of my colleagues. They provide perspectives and recent experiences related to this topic.

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Automated Machine Learning for Supervised Learning (Part 1)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon This. The post Automated Machine Learning for Supervised Learning (Part 1) appeared first on Analytics Vidhya.

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Turning the page

Cloudera

Today marks the beginning of an exciting new chapter for Cloudera. Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses

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How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

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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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First Rule of Data Storytelling

TDAN

Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good story from a bad one is not learned, but hardwired from birth. Storytellers and parents know this very well. It is just natural: humans have been telling stories for thousands of years, […].

IT 104
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MNIST Dataset Prediction Using Keras!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: This blog deals with MNIST Data. Actually, MNIST is ‘Modified. The post MNIST Dataset Prediction Using Keras! appeared first on Analytics Vidhya.

More Trending

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How does Backward Propagation Work in Neural Networks?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction. The post How does Backward Propagation Work in Neural Networks? appeared first on Analytics Vidhya.

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The Data-Centric Revolution: Fighting Class Proliferation

TDAN

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. This is harder than it sounds. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. Yet we often find individual application […].

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Hypothesis Testing- Parametric and Non-Parametric Tests in Statistics

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hypothesis testing is one of the most important concepts in. The post Hypothesis Testing- Parametric and Non-Parametric Tests in Statistics appeared first on Analytics Vidhya.

Testing 296
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Through the Looking Glass: Data Owners and Other Fallacies

TDAN

I vividly remember reading this passage from Bob Seiner’s TDAN.com article “Things I Think I Think about Data Governance”, from August 1, 2015: If we were going to remove two words from the Data Governance vocabulary, I would choose the words “assign” and “owner. When someone is designated as the “owner” of data, that implies […].

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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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AdaBoost : A Brief Introduction to Ensemble learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Let’s start the discussion with some questions. What is ensemble. The post AdaBoost : A Brief Introduction to Ensemble learning appeared first on Analytics Vidhya.

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Importance of Data Science in 2021

TDAN

Data is critical for any business as it helps them make decisions based on trends, statistical numbers and facts. Due to this importance of data, data science as a multi-disciplinary field developed. It utilizes scientific approaches, frameworks, algorithms, and procedures to extract insight from a massive amount of data. These days, data science is the […].

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Understand The DBSCAN Clustering Algorithm!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I’m gonna explain about DBSCAN algorithm. It. The post Understand The DBSCAN Clustering Algorithm! appeared first on Analytics Vidhya.

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Why Leading Organizations Adopt IRM Over GRC

John Wheeler

Gartner continues to receive high client demand for integrated risk management (IRM) insights and what IRM offers beyond the typical governance, risk and compliance (GRC) technology deployments. As evidence of the increasing interest in IRM, a recent Gartner survey of leading enterprise risk management (ERM) organizations showed more than half were engaged in developing an IRM approach with almost a third having completed their build.

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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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Pandas.Styler : Styling the Pandas DataFrame

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Pandas DataFrame is a 2-dimensional data structure present in. The post Pandas.Styler : Styling the Pandas DataFrame appeared first on Analytics Vidhya.

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What Are Composable Analytics?

Dataiku

“Businesses need more advanced and flexible analytics applications to cope with increasingly complex and unpredictable business needs. Many companies have adopted embedded analytics in order to bring analytics closer to business processes and improve decision making. Microservices or cloud-based tools add agility and enable users to receive business value more quickly.

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How Open Source Beats Proprietary Software Helps for MLOps?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction It’s necessary to keep your ML pipeline for compliance. The post How Open Source Beats Proprietary Software Helps for MLOps? appeared first on Analytics Vidhya.

Software 294
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Why Data Quality Matters

TDAN

“Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorian era social thinker Data-driven decision-making is fast becoming a critical business strategy for organizations in every sector. However, if the data used to make these decisions is not high-quality, it can’t be trusted. And consequently, nor can the […].

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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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Interpolation – Power of Interpolation in Python to fill Missing Values

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Interpolation is a technique in Python used to estimate unknown. The post Interpolation – Power of Interpolation in Python to fill Missing Values appeared first on Analytics Vidhya.

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Balance sheet vs income statement

3AG Systems

As a small business owner or just someone who occasionally looks at financial statements, it can be daunting to connect the dots between the balance sheet and income statement. But these two tools have much more in common than you might expect. But what exactly are the differences and similarities, and how do these two reports interact with one another?

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Build Treemaps in Python using Squarify

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data Visualization is a revolutionary invention that is widely used today. The post Build Treemaps in Python using Squarify appeared first on Analytics Vidhya.

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Our Top 20 Most-Read Data & Analytics Research Last Week (to May 30)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Malcolm Hawker’s new note, Modernize Your MDM Program With External Master Data Sharing , just entered the “charts” last week at “number 1” spot. It was our most-read piece of research last week across data and analytics excluding branded research such as Magic Quadrants.

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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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Covid Detection using X-Ray

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Covid is a deadly disease, which affects the respiratory system. The post Covid Detection using X-Ray appeared first on Analytics Vidhya.

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Trusted AI Cornerstones: Key Operational Factors

DataRobot

In an earlier post, I shared the four foundations of trusted performance in AI : data quality, accuracy, robustness and stability, and speed. Today I want to talk about another important aspect of trusted AI: the software and human management that facilitate the use of AI. We think of this as the operational environment of an AI system. To create an ideal operating environment for AI, you need compliance, security, humility, governance, and business rules. .

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Data Analysis- Exploring New Oil with Python!

Analytics Vidhya

ArticleVideo Book Introduction “Data is the new oil” is a common saying nowadays in the areas of marketing, medical science, economics, finance, any research. The post Data Analysis- Exploring New Oil with Python! appeared first on Analytics Vidhya.

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Billions of Personal Interactions

Teradata

To meet evolving customer demands banks must find ways to manage billions of hyper-personalized interactions at low cost. This demands the right tech & operating model.

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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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Free Coursera Courses for Learners in India

MLWhiz

In one of my previous posts, I talked about how to become a data Scientist using some awesome resources from Coursera.

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The Power of Exponential Growth | Data Viz to Simplify Complexity

Occam's Razor

There has been a lot of heartbreak around the world with the CV-19 pandemic. This chart, from NPR , illustrates some cause for optimism. It shows the 7-day average new cases per day across the world. It is crucial to acknowledge what’s hidden in the aggregated trend above: The impact on individual countries is variable. A large percentage of humans on the planet remain under threat.

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Control Spending with Zero-Based Budgeting

Jet Global

As the world emerges from a year of crisis brought on by a global pandemic, business leaders throughout the world have expressed optimism about future growth. Indeed, economic indicators appear positive, and the world seems to finally be returning to a sense of normalcy. Nevertheless, for business managers, cost-containment continues to be a priority, as companies are emerging from the crisis with a greater commitment to budgetary discipline.

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Why “Know Your Audience” is Terrible Dataviz Advice—and What to Do Instead

Depict Data Studio

Every time I scroll through social media, someone’s post is telling me: “Want to know the secret to great dataviz?! Know your audience!”. “Want to make a great dashboard?! Know your audience!!”. I mean… duh. “Knowing your audience” is terrible data visualization advice. What does that even mean?! It’s too broad. It’s too generic. It’s too beginner-level.

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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.