Sat.Nov 14, 2020 - Fri.Nov 20, 2020

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Data Engineering 101 – Getting Started with Apache Airflow

Analytics Vidhya

Overview Understanding the need for Apache Airflow and its components We will create our first DAG to get live cricket scores using Apache Airflow. The post Data Engineering 101 – Getting Started with Apache Airflow appeared first on Analytics Vidhya.

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CX Champions: How CX Leaders Who Raise Their Game Are Driving Business Success

Corinium

Delivering a great CX is among many business leaders' top priorities, but it's hard to know where to devote time and resources to make it happen. To help businesses plan accordingly, Zendesk partnered with ESG Research to build a framework around CX maturity and CX success. The findings for companies based in ANZ and APAC are summarized in our report.

Reporting 195
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Why Your Startup Needs Data Science

TDAN

Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources)

Analytics Vidhya

Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.

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Analyzing Large P Small N Data – Examples from Microbiome

Domino Data Lab

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., the entire genome, the amounts of metabolites, the composition of the microbiome). These technologies have been described as the ‘universal detection’ of molecules in cells, tissue, or organisms in an unbiased and un-targeted way [1].

More Trending

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10 Spectacular Big Data Sources to Streamline Decision-making

Smart Data Collective

The market for big data is surging. It is expected to be worth $274 billion within the next two years. The increasing demand for big data is not surprising. We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information.

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Introduction to Clustering in Python for Beginners in Data Science

Analytics Vidhya

Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.

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Recommendation Engines: How They Work (in Plain English!)

Dataiku

In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction. Today we’ll dive into recommendation engines, which can use either supervised or unsupervised learning.

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How a modern data platform supports government fraud detection

Cloudera

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Some experts estimate the U.S. government loses nearly 150 billion dollars due to potential fraud each year, McKinsey & Company reports.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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4 Ways that Data Analytics Can Boost Performance by Improving Employee Handbooks

Smart Data Collective

Big data is helping companies in every industry boost productivity in a number of ways. One way that they can use big data to improve productivity is by creating a set of employee conduct and performance guidelines that will help them keep their employees on track. They can solidify their policies in an employee handbook after using big data to determine the best approach.

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A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python

Analytics Vidhya

Overview Understand the attention mechanism for image caption generation Implement attention mechanism to generate caption in python Introduction The attention mechanism is a. The post A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python appeared first on Analytics Vidhya.

Analytics 353
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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. linear regression, trees) can be too rigid in their functional forms. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

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Fraud Detection using Deep Learning

Cloudera

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Absolutely Essential AI Cybersecurity Trends to Follow in 2021

Smart Data Collective

Artificial intelligence is at the forefront of the digital revolution. One of the most important ways that AI is transforming our lives is through cybersecurity. AI has created both new benefits and challenges with cybersecurity, since both ethical and black hat hackers are using it to their advantage. You need to know about the top cybersecurity trends in 2021 and how companies can safeguard their official data from hackers & other cyber goons.

Risk 131
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A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists!

Analytics Vidhya

Overview Understand the integration of PySpark in Google Colab We’ll also look at how to perform Data Exploration with PySpark in Google Colab. The post A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists! appeared first on Analytics Vidhya.

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13 Use Cases for Data-Driven Digital Transformation in Finance

DataCamp

Financial institutions can seamlessly integrate digital technologies with data-driven insights.

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Fraud Prevention – 3 Data Strategies for Financial Services

Cloudera

Fraud awareness in the Financial Services industry is more important than ever. According to the September 2020 benchmarking report conducted by the Association of Certified Fraud Examiners (ACFE) in response to the coronavirus, 77% of survey respondents, representing a range of industries, have observed an increase in the overall level of fraud as of August, compared with 68% in May.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Invaluable Tips for Selecting Internet Service in the Age of Big Data

Smart Data Collective

Big data is changing the dynamics of the consumer experience in countless ways. One variable that we don’t think as much about is the nature of our Internet service in the big data era. Back in July, we talked about ways that Internet service providers are using big data to provide a better customer experience. The general infrastructure of the Internet may not have changed much, but the services that customers depend on has changed a bit in a world governed by big data.

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Want to Build a Career in Data Science? Learn from these 5 Data Science Videos!

Analytics Vidhya

Overview Here is a list of 5 Data Science Career Related Webinars Feel free to add other data science career webinars in the comments. The post Want to Build a Career in Data Science? Learn from these 5 Data Science Videos! appeared first on Analytics Vidhya.

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5 Ways Real-Time Financial Reporting Mitigates Enterprise Risk

Jet Global

This article is part of our multi-part series about the challenges that CFOs face going into 2021. Please be sure to check back for other posts in the series coming soon. 2020 brought with it a series of events that have increased volatility and risk for most businesses. Even before the coronavirus disrupted supply chains and shifted priorities, business leaders understood the need to identify and monitor the factors that could have an impact on their enterprises.

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#ClouderaLife Spotlight: Teresa Morris, Sr. Manager, Technical Partner Support

Cloudera

Meet Teresa Morris! A 3.5 year Clouderan working as a Sr. Manager, Technical Partner Support. Her role entails building and managing support partnerships – it’s one she finds rewarding. “It’s not a one project kind of thing, it’s a whole experience of managing partnerships that bring more business. Being a part of a digital transformation and all the things that drive customers experience is so fulfilling.” .

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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The Fascinating Role of Data Visualization and Techniques for Assorted Variables

Smart Data Collective

Data is one of the most valued assets for the businesses today. And since every aspect of the organization creates data, which is relevant to the businesses to understand the whys and whens in the processes, companies are in a rush to gain the ability to capitalize on what data has to offer. This capturing of value from the data and to present it in a readable, understandable format for the non-experts to implement the insight are still a challenge.

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Exclusive Interview with 2x Kaggle Master Gilles Vandewiele!

Analytics Vidhya

Introduction “I think one of the nice things about the data science field is that it is so multi-disciplinary and that anyone who aspires. The post Exclusive Interview with 2x Kaggle Master Gilles Vandewiele! appeared first on Analytics Vidhya.

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erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row

erwin

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. This year, erwin had the largest move of any player on the Quadrant and moved up significantly in terms of “Ability to Execute” and also in “Vision.”. This recognition affirms our efforts in developing an integrated platform for enterprise modeling and data intelligence to support data governance, digital transformation and any other effort that relies on data for favorable o

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Combating Fraud in Insurance with Data

Cloudera

Well, it is International Fraud Awareness Week, focused on promoting fraud prevention and education. A fantastic initiative! Maybe I am naïve but I feel a bit sad that there is a need for “fraud week”. The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting.

Insurance 101
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Implementing a Cohesive Approach to Agile Portfolio Management in 2020

Smart Data Collective

Over the last 15-20 years, Agile has either fully or partly been incorporated into most companies. Why? The reason is that Agile project management practices really work and are proven effective. Research published by Techliance shows that 98% of companies have used Agile and its effectiveness is around 30% higher than Waterfall. Agile as a mindset and philosophy gets deep into every team and can be integrated into any environment.

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Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem

Analytics Vidhya

“Ignore the gatekeepers who expect you to have a Ph.D. A relevant study can be more useful than a Ph.D.” – Ahmet Erdem Golden. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem appeared first on Analytics Vidhya.

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Doing Power BI the Right Way: 8. Planning for separation – data models & reports

Paul Turley

Part of the the series: Doing Power BI the Right Way Back in the day, when we created BI solutions, reports and data models were separate. If you created a cube or Tabular model with Analysis Services, it was developed with Visual Studio and deployed to a server.

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Predicting long-term user engagement from short-term behavior

Insight

A strategy to determine the long-term aggregate behavior of an app user based on limited short-term information. Continue reading on Insight ».

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?