Sat.Aug 20, 2022 - Fri.Aug 26, 2022

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7 Techniques to Handle Imbalanced Data

KDnuggets

This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced.

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A primer on AWS Lambda Function

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction While deploying an application, developers often face challenges concerning purchasing, provisioning, and managing backend servers. AWS Lambda is a service that allows developers to run code without having to set up and manage such servers and hence is often classified under the […].

AWS 366
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AI in the manufacturing market will rise by 14 billion dollars in 5 years (Learn why)

Dataconomy

What is the role of artificial intelligence in manufacturing? Well, there are a lot of use cases for artificial intelligence in everyday life, but what about AI in manufacturing? The effects of artificial intelligence in business heavily include manufacturing. Are you scared of AI jargon? We have already created a detailed AI glossary for the.

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$60/MWh for advanced nuclear electricity is achievable, says GE Hitachi executive

Hacker News

At that price, there would be demand for about 90 GW of emerging small reactors in the U.S. by 2050, according to a recent Nuclear Energy Institute survey.

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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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How to Package and Distribute Machine Learning Models with MLFlow

KDnuggets

MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow in Layer.

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Using AWS Athena and QuickSight for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Ever wondered how to query and analyze raw data? Also, have you ever tried doing this with Athena and QuickSight? This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Amazon’s perfect combination of […]. The post Using AWS Athena and QuickSight for Data Analysis appeared first on Analytics Vidhya.

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Introduction to Probability for Data Science, a free book

FlowingData

Introduction to Probability for Data Science is a free-to-download book by Purdue statistics professor Stanley H. Chan: We need a book that balances the theory and practice. We need a book that provides insights and not just theorems and proofs. We need a book that motivates the students, telling them why probability is so essential to their work. We need a book that highlights the impacts of the subject.

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Tuning Random Forest Hyperparameters

KDnuggets

Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.

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How is Web3.0 Related to the Metaverse?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Decentralized protocols, such as blockchain, the technology behind bitcoin transactions, will be employed in the web 3.0 revolution. It aims to overcome some of the primary drawbacks and flaws of the present internet era by tackling the crucial concerns of data ownership […].

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Why we need AI to power the green energy transition

Dataconomy

Today we see clear movement and momentum to decarbonization and the green energy transition. In parallel, the rise in digital technology and advanced analytics provide unique opportunities to not only migrate to new energy technologies, but to monitor progress, predict performance, integrate systems, ensure reliability and resiliency – and improve.

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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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What is the IoT and How is it Changing the World?

Smart Data Collective

The Internet of Things (IoT) has been on the rise in recent years, and it’s becoming more and more common among consumers, businesses, and governments alike. IoT refers to any connected physical device that can send or receive data over the internet, including smartphones, computers, speakers, security cameras, thermostats, door locks, vehicles—the list goes on and on.

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Top Posts August 15-21: How to Perform Motion Detection Using Python

KDnuggets

How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects – Part 2 • Free AI for Beginners Course • Decision Tree Algorithm, Explained • What Does ETL Have to Do with Machine Learning?

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Deep Learning Vision: Digitizing the World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The body of knowledge and practice known as Deep Learning gives us a way to understand patterns, quantify relationships, and predict the future. Deep Learning helps us understand the world. The world is interconnected. Deep learning can show these connections and possibilities. […].

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Ray 2.0: The open-source ML project is live with its second version

Dataconomy

Over the past two years, the open-source Ray framework, which is used by companies like OpenAI, Shopify, and Instacart, has emerged as one of the most widely used methods for enterprises to scale and manage huge and intricate artificial intelligence (AI) workloads. After going through multiple iterations over the preceding.

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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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Why Is the World Adapting to Blockchain Technology?

Smart Data Collective

The blockchain network has affected more than just bitcoin. Countless industries around the world are investing in it, so the market size for blockchain is projected to be worth $163 billion by 2029. Nowadays, almost all people have access to cell phones, laptops, and the internet. The way we live and work has been radically altered by this. We have witnessed a change in several industries as a result of the growth of digitization.

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Machine Learning is Not Like Your Brain Part Seven: What Neurons are Good At

KDnuggets

Thus far, this series has focused on things that Machine Learning does or needs which biological neurons simply can’t do. This article turns the tables and discusses a few things that neurons are particularly good at.

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Working with Images and Videos using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, Computer Vision has gained huge popularity in Machine Learning and Artificial Intelligence. The image recognition skill allows computers to process more information than the human eye, often faster and more accurately, or simply when people are not involved in […].

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PlanetScale introduces serverless driver for JavaScript: Databases are moving to the edge

Dataconomy

PlanetScale just released serverless driver for JavaScript to enhance database accessibility from serverless edge deployments. It was created with the intention of creating a universally functional, simple-to-configure mechanism for edge services. The actual driver for the new PlanetScale service makes advantage of the JavaScript Fetch API standard to support HTTP connections.

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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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Albanian Bitcoin Investors Tap the Power of Predictive Analytics

Smart Data Collective

Business Partner Magazine recently published an article on the growing popularity of bitcoin trading in Albania. Many investors have started trading bitcoins and other cryptocurrencies in recent years. Although bitcoin trading is still fairly new to the South European country, these traders have to compete against more experienced investors abroad. Fortunately, there are a number of ways that they can do so.

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Support Vector Machines: An Intuitive Approach

KDnuggets

This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function. We will also discuss kernel tricks and a more useful variant of SVM with a soft margin.

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ETL and Workflow Orchestration Tools

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we attempt to capture the complexity of ETL and workflow orchestration tools, which aid in better data management and control by providing multiple alternatives for performing various operations in discrete blocks while maintaining visibility and clear goals for each action.

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Enhance your digital experience by learning the differences between 4G and LTE

Dataconomy

In the 4G vs LTE comparison, we will talk about mobile networks, and although they have been in our lives for a while, their differences are still a matter of debate, and many people think they are the same thing. The confusion has many reasons behind it, but many people.

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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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AI Helps Automate Tax Compliance Procedures

Smart Data Collective

AI technology has helped companies boost profitability and increase efficiency in many ways. According to most surveys, 90% of the most successful companies use AI to some degree. One of the most beneficial applications of AI is in the realm of tax compliance. You can automate your tax compliance process by using sophisticated AI-driven software. AI is Becoming Essential for Promoting Tax Compliance.

AI 106
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KDnuggets Top Posts for July 2022: Machine Learning Algorithms Explained in Less Than 1 Minute Each

KDnuggets

Machine Learning Algorithms Explained in Less Than 1 Minute Each • Free Python Automation Course • Free Python Crash Course • The 5 Hardest Things to Do in SQL • 16 Essential DVC Commands for Data Science • 12 Essential VSCode Extensions for Data Science • Parallel Processing Large • File in Python • Linear Algebra for Data Science.

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Simplifying AI Models with the PEAS Representation System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The capability of an artificial machine to think and act rationally or like a human can be called Artificial Intelligence. Artificial intelligence is a subset of data science that gives life to a machine. Data scientists perform predictive data analysis based on […].

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IT leaders will boost their cloud adoption strategies over the next 2 years

Dataconomy

Colt, a provider of network connectivity for data centers, has performed research that suggests that over the next two years, the rate at which organizations adopt the cloud may quickly increase. In the third annual Cloud adoption study conducted by the company, 500 senior IT and C-suite decision-makers from Europe.

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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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Using Data Analytics to Understand Gross Margin Attribution

Dataversity

Companies across sectors and of all sizes face a common problem: understanding their profit margins and identifying the levers that are attributing to those margins. It’s as fundamental to business operations as you can get – if the margin isn’t there, you’re not going to have a viable business, and in an increasingly data-driven world, businesses that […].

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Free Python Project Coding Course

KDnuggets

Learn Python by doing Python. Check out this free project-based course to quickly learn how to program in the high-demand language.

Python 316
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Creating Mathematical Animations in Python using Manim

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Mathematics is a core subject that helps us to solve Engineering, Scientific and Economic problems. It is used in a variety of fields and disciplines. So we can say that without mathematics, we can not do anything. and mathematics is becoming a […]. The post Creating Mathematical Animations in Python using Manim appeared first on Analytics Vidhya.

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Thank Ubiquitous Computing for making your life “smart”

Dataconomy

Every object and gadget in the world is linked to the internet and one another through ubiquitous computing, also known as pervasive computing. Ubiquitous computing is heavily linked with the Internet of Things (IoT). Probably while reading about cloud computing basics, you came across this term and were curious about.

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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.