Sat.Oct 15, 2022 - Fri.Oct 21, 2022

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Frameworks for Approaching the Machine Learning Process

KDnuggets

This post is a summary of 2 distinct frameworks for approaching machine learning tasks, followed by a distilled third. Do they differ considerably (or at all) from each other, or from other such processes available?

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Blockchain and Deploying Applications on Docker and Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Niti Ayog, one of the transforming national institutions, has published an article on Blockchain use cases in India. Few questions about Blockchain, why Blockchain, and how we can deploy our applications through the docker and Kubernetes we should know. Objectives We will discuss […].

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Top 5 data science trends for 2023

Dataconomy

Data science trends are common in the market and advantageous to data scientists. This industry’s projections and trends are crucial for organizations to prosper in the global technology market. To be successful in this field, data scientists must be knowledgeable of numerous data science trends. We will assist you in.

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AI Tools Make Short-Selling Possible with Algorithmic Trading

Smart Data Collective

Artificial intelligence is driving a number of changes in the financial sector. We pointed out that AI has created new opportunities for investors purchasing real estate stocks. However, it is also creating unique trading opportunities for those using nontraditional investing decisions. One of the ways that smart investors can use AI is with short-selling.

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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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Working With Sparse Features In Machine Learning Models

KDnuggets

Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features.

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An Overview of Graph Machine Learning and Its Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks. Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […].

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Email marketing is widespread, with 333.2 billion emails exchanged every day. How can you ensure Outlook recipients open your bulk emails with severe competition? Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed.

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7 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Outshine others and increase your odds of getting hired by maintaining a data science portfolio with projects, resumes, blogs, and reports.

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Data Science Tools for Vaccine Design and Development

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].

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EU’s Artificial Intelligence Act: Does regulation counteract innovation?

Dataconomy

Open-source AI regulation is mentioned in the Artificial Intelligence Act (AIA), which is now under discussion in the EU. However, severely restricting the usage, sharing, and distribution of general-purpose, open-source AI (GPAI) might be seen as a step backward.

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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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How to Make Sure Your IoT Systems Stay Compliant

Smart Data Collective

IoT plays a significant role in information technology, yet the pace of deployments has outpaced the awareness of compliance issues. IT professionals must work hard to stay ahead of the curve, especially if they plan to integrate IoT in various facets of their operations. Compliance requirements vary across industries. However, every organization should at least apply compliance to some aspects of its operations.

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A Data Science Portfolio That Will Land You The Job in 2022

KDnuggets

Check out this article on crafting a data science portfolio that will get you that job. And learn 4 resume mistakes to avoid at any cost.

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Top 9 Most Frequently Asked Interview Questions on SVM

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems. The heart and soul of this algorithm is the concept of Hyperplanes where these planes help to categorize the high dimensional data which are either […].

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AI to predict autism in children at a very young age

Dataconomy

A new study published in the journal BMJ Health & Care Informatics demonstrates how artificial intelligence and real-world health claims data may be used to diagnose autism spectrum disorder (ASD) in infants younger than 30 months.

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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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Can Integrating Kronos Resolve Concerns About Bias in AI Development

Smart Data Collective

Artificial Intelligence is the new age blessing in disguise, especially when understanding complex data for the company’s benefit. Unfortunately, there have been complaints about AI’s bias. In most cases, the bias manifests as a technical glitch, but it is an oversight by the algorithm feed and society. These ultimately affect what AI portrays depending on who is using the software.

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5 Free Courses to Master Calculus

KDnuggets

Calculus is one of the foundational pillars of understanding the mathematics behind machine learning algorithms. The post shares five free courses to help you master calculus and learn its real-world applications.

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FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The GoogleAI researchers presented a frame interpolation algorithm synthesising a sharp slow-motion video […]. The post FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos appeared first on Analytics Vidhya.

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Adobe launched its new digital modeling and sculpting tool: Substance 3D Modeler

Dataconomy

Adobe Substance 3D Modeler revealed at Adobe MAX 2022. The long-awaited modeling and sculpting software from the company is now available. A complete collection of tools for modeling, texturing, and lighting 3D objects and scenes are provided for creative professionals. The Oculus Medium VR sculpting tool served as the basis.

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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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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future. Unfortunately, big data technology is not without its challenges. One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage.

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KDnuggets Top Posts for September 2022: Free Python for Data Science Course

KDnuggets

Free Python for Data Science Course • 7 Machine Learning Portfolio Projects to Boost the Resume • Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • 5 Data Science Skills That Pay & 5 That Don't • Everything You’ve Ever Wanted to Know About Machine Learning • Free SQL and Database Course • 7 Data Analytics Interview Questions & Answers.

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COVID-19 Diagnosis with Cough Audio Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cough Audio analysis, one of the breakthroughs of AI in healthcare, often proves valuable in diagnosing respiratory and lung diseases. COVID-19 (Coronavirus Disease 2019) has had devastating effects on humanity, making early detection in patients imperative for its treatment.

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Which way you choose to go matters to marketers

Dataconomy

A technique called location-based marketing enables data-driven methods to their fullest potential. This is essential for any business as the world gets more digital. Marketing organizations may geotarget clients with amazing accuracy thanks to location data. A pillar of the marketing industry in the twenty-first century is location-based marketing.

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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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Slow internet for the same price as fast internet

FlowingData

When you pay for internet, it seems like a reasonable expectation that if you pay the same monthly rate as someone a few blocks from you, you get a similar speed. This is commonly not always the case. Leon Yin and Aaron Sankin, for The Markup, with the analysis : The Markup gathered and analyzed more than 800,000 internet service offers from AT&T, Verizon, Earthlink, and CenturyLink in 38 cities across America and found that all four routinely offered fast base speeds at or above 200 Mbps i

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Implementing Adaboost in Scikit-learn

KDnuggets

It is called Adaptive Boosting due to the fact that the weights are re-assigned to each instance, with higher weights being assigned to instances that are not correctly classified - therefore it ‘adapts’.

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Natural Language Processing to Detect Spam Messages

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most existing research on Twitter spam focuses on account blocking or identifying and blocking spam users or spammers. To detect spam users, we can use traditional machine learning algorithms that use information from users’ tweets, demographics, shared URLs, and social connections as features. […].

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The Synthetic Party: AI ran Danish political party wants a seat in the parliament

Dataconomy

A new Danish political party called The Synthetic Party, with an artificially intelligent representative and AI-based policies, is campaigning for a parliamentary seat and intends to participate in the country’s general election in November. The Synthetic Party’s public face and figurehead is the AI chatbot Leader Lars, who has been.

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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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Less rich Covid billionaires

FlowingData

With Covid came sudden shifts in daily life and work, which gave rise to certain companies that were able to fill specific needs. Some individuals’ net worth increased many times over. But as things move back closer to where they were pre-Covid, sudden wealth is also moving back. Bloomberg zeros in on the billionaires whose net worth increased and then decreased because of the life changes.

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Essential Books You Need to Become a Data Engineer

KDnuggets

In this article, I will go through the roadmap of books you need to become a Data Engineer.

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How AI Can Improve Your Life In The Next 5 Years?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence is one of the most talked-about technologies in recent years. It has been a hot topic for many tech companies, investors, and entrepreneurs who are trying to find ways to use it to improve their businesses or lives. However, not […]. The post How AI Can Improve Your Life In The Next 5 Years?

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The healthcare industry needs solid SEO strategies to avoid spreading misinformation

Dataconomy

The days of a neighborhood company advertising in the paper to promote their services are long gone. Using medical website SEO strategies, specialists have been helping clients succeed since the introduction of smartphones and other digital media. Some effective strategies include eye-catching advertisements, concentrating on the right demographics, and enhancing.

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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.