Sat.Oct 29, 2022 - Fri.Nov 04, 2022

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30 Resources for Mastering Data Visualization

KDnuggets

Want to master data visualization? This list of 30 resources and tools will help you get started on your path toward mastering data visualization.

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New AI Advances Increase User Reach with Advanced Targeting

Smart Data Collective

Artificial intelligence has upended the digital marketing profession. A growing number of marketers are using AI to optimize and automate marketing campaigns in fantastic ways. Jason Hall, Founder and CEO of FiveChannels described some of the phenomenal benefits of leveraging AI in digital marketing in a post in Forbes. Hall states that AI hasn’t removed the need for human input in marketing, but it has helped remove a lot of the monotonous tasks that humans used to participate in.

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An Introduction to MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When we hear the word “DATABASE”, the first thought that comes to our mind is SQL! No doubt, SQL and relational databases are widely popular and used extensively for storing data. Many kinds of literature, articles, and tutorials are on them internet-wide due to […].

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On Demand Webinar: Map And Monitor Your Data Journey

DataKitchen

Chris Bergh shares how to do a Data Journey in the on-demand webinar! The post On Demand Webinar: Map And Monitor Your Data Journey first appeared on DataKitchen.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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9 Skills You Need to Become a Data Engineer

KDnuggets

A data engineer is a fast-growing profession with amazing challenges and rewards. Which skills do you need to become a data engineer? In this post, we’ll take a look at both hard and soft skills.

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AI Data, Traditional Trading, and Modern Investments

Smart Data Collective

Artificial intelligence is drastically changing the future of finance. Financial institutions spent over $10.1 billion on AI last year. One of the many ways that AI is being leveraged in finance is by helping improve the experience of investors. Modern investors enjoy a much smoother trading experience than their predecessors. Thanks to the invention of the internet, everything from conducting trades to downloading comprehensive reports can be completed almost instantly.

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Scoring More Goals in Football with AI: Predicting the Likelihood of a Goal Based on On-the-Field Events

DataRobot Blog

Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events. My Dad is a big football (soccer) fan. When I was growing up, he would take his three daughters to the home games of Maccabi Haifa, the leading football team in the Israeli league.

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15 Free Machine Learning and Deep Learning Books

KDnuggets

Check out this list of 15 FREE ebooks for learning machine learning and deep learning.

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What to Look for in a Data-Savvy Fintech Marketing Agency

Smart Data Collective

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021. The Fintech sector is among those most reliant on data-driven marketing.

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An Introduction to BigBird

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva|Arxiv Introduction In 2018 GoogleAI researchers developed Bidirectional Encoder Representations from Transformers (BERT) for various NLP tasks. However, one of the key limitations of this technique was the quadratic dependency, due to which the BERT-like model can handle sequences of 512 tokens […].

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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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Why Modernizing Mainframe Development Needs Secure Open Source

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software According to a recent Rocket Software survey , 80% of IT professionals categorize the mainframe as critical to their business. But in order to be successful in today’s technology-driven world, businesses that rely on the mainframe must modernize their operations and integrate the latest tools and technologies. Companies choosing to abandon their mainframe face a costly endeavor, risk downtime, and lose out on powerful benefits.

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Top Posts October 24-30: How to Select Rows and Columns in Pandas

KDnuggets

How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Decision Tree Algorithm, Explained • Graphs: The natural way to understand data • 7 Techniques to Handle Imbalanced Data • A Data Science Portfolio That Will Land You The Job in 2022.

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365 Data Science Courses Free Until November 21

Smart Data Collective

Big data technology is becoming a more pressing issue for companies around the world. However, many companies don’t understand enough about data to utilize it effectively. A recent survey found that a stunning 47% of companies have only a limited data strategy. One of the biggest reasons that companies don’t have better data strategies is that employees aren’t educated about the merits of big data.

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Outliers Detection Using IQR, Z-score, LOF and DBSCAN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.4 Introduction Are you dealing with outliers? Thinking about which method is better for detecting outliers for skewed or normally distributed data? Which methods will work well if data density is not the same through the dispersion? Identification of outliers? Etc. Guys, this article […].

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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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Teraco and VMware are Taking a New Approach to Support the Efforts of South Africa’s Cloud Innovators in Their Quest to Achieve Zero Carbon Emissions

CIO Business Intelligence

“The barriers confronting organizations in South Africa that want to achieve carbon neutral status by 2030 are significant. Among them is the simple reality that most of the nation’s power production originates from coal-fired plants located in the northeastern part of the country while the greatest potential impact for sustainable approaches like solar and wind lie in the south.

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The AI Education Gap and How to Close It

KDnuggets

AI education is broken, how do we solve it? Individuals end up learning a specific tool or tactic in a vacuum. They are missing the real-world applicability and collaboration that is critical to building impactful AI solutions in line with the organization’s strategy.

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Top Solutions for Cybersecurity Regulatory Compliance

Smart Data Collective

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. The rising threat and vulnerabilities have ultimately prompted state and federal officials to enact cybersecurity regulations to strengthen data protection nationwide.

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How to Make an Image Classification Model Using Deep Learning?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the 21st century, the world is rapidly moving towards Artificial Intelligence and Machine Learning. Various robust AI Models have been made that perform far better than the human brain, like deepfake generation, image classification, text classification, etc. Companies are investing vast […].

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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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The Evaporation of Privacy

TDAN

Have you ever read those little pieces of paper inserted into your bank statement, credit card statements, insurance bills, mutual fund statement, and all of your other statements and bills? We all get them. You know, those flimsy pieces of paper, printed in small type and written in convoluted English. I have started collecting them— […].

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KDnuggets News, November 2: The Current State of Data Science Careers • 15 Free Machine Learning and Deep Learning Books

KDnuggets

The Current State of Data Science Careers • 15 Free Machine Learning and Deep Learning Books • How to Make Python Code Run Incredibly Fast • Machine Learning on the Edge • Don't Become a Commoditized Data Scientist.

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What digital business acceleration means for Gulfstream Aerospace’s CIO

CIO Business Intelligence

Gulfstream Aerospace, a key business unit of General Dynamics, is a household name in technologically advanced business aircraft. It all began with The Grumman Gulfstream I in 1958, and today it has about 3,000 business jets in service worldwide. With company headquarters in Savannah, Georgia, Sheryl Bunton, the company’s SVP and CIO, joined in 2015 to lead the manufacturer’s Business Technology Unit, meaning she oversees all the technology solutions, cybersecurity, and digital transformation st

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Learn to Use Nami Wallet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Cardano blockchain is one of the crypto ecosystem’s most popular and in-demand projects. The Cardano blockchain has been under continuous development, with new decentralized applications (dapps) being built on the blockchain. The Cardano blockchain is not EVM-compatible.

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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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Using ML to Identify Factors and Potential Biases That Influence Career Development Course Fees

Dataiku

MySkillsFuture is a one-stop portal that enables Singaporeans of all ages to make informed learning and career choices so that they can pursue their skills and ensure career development throughout their lives. People are able to sign up for various career and skills development courses offered by different training providers for a wide range of training areas on the portal (as shown in Figure 4 and 5).

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The Gap Between Deep Learning and Human Cognitive Abilities

KDnuggets

How do we bridge this gap between deep learning and human cognitive ability?

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With Better Business Transaction Monitoring, Enterprises Move Away From Manual Tasks, Curb Revenue Loss

CIO Business Intelligence

An organization depends on its financial institution to complete a major transaction, but a glitch holds up funds, negatively impacting cash flow. Meanwhile, regulators fined a different financial institution for failing to catch fraudulent transactions. In both situations, better business transaction monitoring could have helped prevent negative, costly outcomes.

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Amazon Sagemaker Tool for MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Learning its tools is one way to start having a hands-on understanding of MLOps. Understanding the tools makes the concept more practical and easy to grasp. MLOps finds its importance in place of model deployment. In this article, we will briefly see […]. The post Amazon Sagemaker Tool for MLOps 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.

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5 Ways to Get the Most Out of Your Local Data Science Community

Dataiku

Whether it involves joining the existing group in your area or starting your own, there are a number of benefits to taking that extra step to connect with your fellow data science enthusiasts. From exchanging best practices to networking both online and in person, we detail five of the best ways you can make the most out of your local data science community below, with tips coming straight from passionate Dataiku users who are leading groups around the world.

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Attend the Data Science Symposium 2022, November 8 in Cincinnati

KDnuggets

The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8. This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track. The event, held at the Lindner College of Business, is open to all.

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How Trainline’s CTO stays on track with professional development

CIO Business Intelligence

Few would swap sunny San Francisco and the innovation of Silicon Valley for a train ticketing company serving disgruntled UK commuters, but try telling that to Trainline CTO, Milena Nikolic. A long-time Googler, who’s role as engineering director saw her lead the Google Play developer ecosystem, Nikolic was keen for something new that offered a greater sense of social purpose. “ I had been at Google for so long that I stopped counting,” she says.

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Explaining Sparse Datasets with Practical Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever encountered an “out-of-memory” error while working on a dataset? It’s pretty frustrating, right? Sometimes even after successfully loading and reading data, you run out of memory amid data processing operations! Ever wondered what may be the reason behind this […].

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.