April, 2022

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The 8 Basic Statistics Concepts for Data Science

KDnuggets

Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

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Is Quantum Computing the Future of Artificial Intelligence?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].

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The history of Machine Learning – dates back to the 17th century

Dataconomy

Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies. Because of its ability to learn.

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Changing Who We Spend Time with as We Get Older

FlowingData

In high school, we spend most of our days with friends and immediate family. Then we get older and get jobs, get married, and grow our own families to spend more time with co-workers, spouses, and kids. Here’s how things change, based on a decade of data from the American Time Use Survey, from age 15 to 80. Read More.

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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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7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. When business decisions are made based on bad models, the consequences can be severe.

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Face detection using the Caffe model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.

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How does AI overcome the fundamental issues with traditional cybersecurity approaches?

Dataconomy

Artificial intelligence in cybersecurity is a must-have combination for organizations nowadays. Artificial intelligence (AI) assists under-resourced security operations analysts in keeping pace with attacks, and this technology will have a greater role as cyberattacks increase in volume and complexity. AI technologies, such as machine learning and natural language processing that.

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Social Media Usage by Age

FlowingData

Social media apps are on a lot of phones these days, but some tend towards a younger audience and others an older. Some are common across the population. Here’s the breakdown by age for American adults in 2021, based on data from the Pew Research Center. Read More.

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What Artificial Intelligence can Help Businesses Manage Their Online Profiles

Smart Data Collective

A lot of factors go into building a business, but online reputation is a huge part of it. A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. Customers tend to Google an organization prior to engaging with their services.

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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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Staff picks for Tableau Conference 2022 sessions

Tableau

Christine Zuniga. April 20, 2022 - 5:52pm. April 21, 2022. There’s a lot to take in at Tableau Conference. Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Now that the TC22 session catalog is live—check out the complete session lineup !

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Naïve Bayes Algorithm: Everything You Need to Know

KDnuggets

Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

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Object Detection Using Haar Cascade: OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.

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AI in gaming: A complete guide

Dataconomy

Do you love artificial intelligence games? Artificial intelligence (AI) has played an increasingly important and productive role in the gaming industry since IBM’s computer program, Deep Blue, defeated Garry Kasparov in a 1997 chess match. AI is used to enhance game assets, behaviors, and settings in various ways. Artificial intelligence.

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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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Tax services want your data

FlowingData

Taxes are due today in the U.S. (yay). Geoffrey A. Fowler for The Washington Post on the part when tax services like TurboTax and H&R Block ask for your data : What he discovered is a little-discussed evolution of the tax-prep software industry from mere processors of returns to profiteers of personal data. It’s the Facebook-ization of personal finance.

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Search Engine Marketers Without Data Analytics Knowledge Are Obsolete

Smart Data Collective

Data analytics has led to a huge shift in the marketing profession. A large part of this is due to advances in digital marketing. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. This is particularly true for search engine marketers. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.

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Finding the Signal in the Noise: Talking Racing Strategy with McLaren Racing’s Randy Singh

DataRobot Blog

F1 is headed Down Under next week for the first time since 2019. The Australian Grand Prix – taking place in Melbourne’s Albert Park Circuit – will showcase a new track layout and will be a homecoming for Australia’s own, McLaren Racing driver Daniel Ricciardo. The track changes, which Ricciardo consulted on , are the first modifications since 1996 and are aimed at reducing lap times, increasing speeds, and bringing the cars closer together.

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Uncertainty Quantification in Artificial Intelligence-based Systems

KDnuggets

The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

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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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Introduction to SQL for Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.

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AI dictionary: Be a native speaker of Artificial Intelligence

Dataconomy

The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of.

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Literacy Scores by Country, in Reading, Math, and Science

FlowingData

Among 15-year-old students, here’s how 77 countries compare in reading, math, and science. Higher scores are better. Read More.

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Why Machine Learning Can Lead to the Perfect Web Design

Smart Data Collective

Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Companies are expected to spend $460 billion on digital marketing this year. Machine learning technology is a very important element of digital marketing.

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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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Data Quality Dimensions Are Crucial for AI

Dataversity

As organizations digitize customer journeys, the implications of low-quality data are multiplied manyfold. This is a result of new processes and products that are springing up. Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […].

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How to Determine the Best Fitting Data Distribution Using Python

KDnuggets

Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

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A Comprehensive Overview of Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].

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Pros and cons of AI: Is Artificial Intelligence suitable for you?

Dataconomy

We searched the risks and benefits of artificial intelligence and tried to decide is it evil or not? Humans have long desired to construct machines that can make decisions. It was thought of as a possibility that seemed too good to be true for a long time, and it was.

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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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Tonga shockwave around the world

FlowingData

Earlier this year, an underwater volcano erupted in the island nation of Tonga. For The New York Times, Aatish Bhatia and Henry Fountain describe the effects of the eruption , which lasted for days and rippled around the world. The introductory animated globe shows the pressure wave and gives a good sense of the eruption’s massive scale. Tags: eruption , New York Times , shockwave , Tonga.

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7 Misconceptions About Data Science

Smart Data Collective

Data science is a broad field that can help organizations glean significant insights into various aspects of their operations. Whether it’s uncovering truths about customer buying habits or discovering new ways to make teams collaborate more efficiently, data science can be an extremely useful tool to all who take advantage of it. This is why the demand for data scientists is growing so rapidly.

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What Are AI APIs, and How Do They Work?

Dataversity

An application programming interface (API) is a powerful technology and a growing concept in the software development sphere. It can be used in a variety of business functions and in applications that we regularly use. We frequently hear about APIs, but most of us don’t realize that they have become more prevalent in our daily […]. The post What Are AI APIs, and How Do They Work?

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4 Factors to Identify Machine Learning Solvable Problems

KDnuggets

The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

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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.