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

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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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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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+70,000 newcomers, here is your best Mastodon servers list

Dataconomy

With this article, you can get the best Mastodon server list and find out how to change it if you don’t like it. There are indications that there is a tiny but growing departure from Twitter. Many Twitter users are waiting it out and may not have completely deleted their.

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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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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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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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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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Can decentralized Mastodon replace Twitter as the common digital town square the world needs?

Dataconomy

Can Mastodon social media be a Twitter alternative/replacement? Many users are leaving Twitter due to Elon Musk’s takeover, or at the very least, threatening to leave in favor of an alternative. Many users claim that their decision was motivated by either a dislike of Musk or concerns that his proposed.

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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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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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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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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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IoT gateway: The veins of connected devices

Dataconomy

An IoT gateway is a hardware or software component that connects controllers, sensors, and other intelligent devices to the cloud. An IoT gateway, either a specialized hardware appliance or software program, is where all data traveling between IoT devices and the cloud is routed through. An intelligent gateway or control.

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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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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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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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Top 9 Most Tricky Interview Questions on OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The abbreviation of OpenCV is Open Source Computer vision which is a library that one can use for performing image processing operations and real-world computer vision tasks. The career path for whoever chooses OpenCV as the tool is computer vision developer or […].

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Does AI spoil the naturalness of sports?

Dataconomy

Even though statistics have always been important in the field, artificial intelligence in sports has greatly impacted how competition advances. Artificial intelligence and data analytics are used in various sports to develop game strategies and increase audience engagement. Some claim that data science is destroying traditional football, but football is.

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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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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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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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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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Building the right access hierarchy using permissioned blockchains

Dataconomy

Blockchain networks, known as permissioned blockchains, require access to join. In these blockchain varieties, a control layer that regulates the actions taken by the authorized players runs on top of the blockchain. As is evident, the operation of permissioned blockchains differs significantly from that of private and public blockchains. They.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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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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Interview Questions on AdaBoost Algorithm in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AdaBoost is a boosting algorithm used in data science. It is one of the best-performing and widely used algorithms. In data science interviews, there are lots of questions asked related to the AdaBoost algorithm, whether a working mechanism, the mathematics behind it, […].

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Cyber espionage remains a real threat to both governments and businesses

Dataconomy

Cyber espionage is evolving and spreading on the domestic and international levels. A straightforward definition of cyber espionage is the intentional stealing of data, information, or intellectual property from or through computer systems. Social engineering, malware dissemination, advanced persistent threat (APT), watering hole assaults, and spear phishing are a few.

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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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The Evaporation of Privacy

The Data Administration Newsletter

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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Getting Started with spaCy for NLP

KDnuggets

In this blog, we will explore how to get started with spaCy right from the installation to explore the various functionalities it provides.

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AWS Storage: Cost Optimization Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is the most crucial aspect contributing to the business’s success. Organizations are collecting data at an alarming pace to analyze and derive insights for business enhancements. The abundant requirement for data collection made cloud data storage an unavoidable option concerning the […].

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Twitter temporarily closes offices as Elon Musk begins mass layoffs

Dataconomy

Twitter layoffs start today (November 4th). After Stripe layoffs, tech layoffs, unfortunately, continued with Twitter. One week after paying $44 billion for Twitter, Musk is scheduled to lay off about half of the company’s staff. After informing staff that they would receive notification of their employment status via email later.

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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.