Sat.Dec 10, 2022 - Fri.Dec 16, 2022

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Meta-Reinforcement Learning in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Generally, machine learning can be classified into four types: supervised machine learning, unsupervised machine learning, semi-supervised machine learning, and reinforcement learning. Supervised machine learning is a type of machine learning that is the easiest and less complex type or branch of data science. […].

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Recognize and Plan for the AI and Machine Learning Skills Gap

David Menninger's Analyst Perspectives

Recently, I suggested you need to “ mind the gap” between data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML).

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How To Overcome The Fear of Math and Learn Math For Data Science

KDnuggets

Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math.".

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IT leaders face reality check on hybrid productivity

CIO Business Intelligence

CIO Ted Ross believes the honeymoon is over for breakneck productivity when it comes to hybrid work, and he’s not the only one. Tech employees at the City of Los Angeles IT agency who were forced to work remotely in the early pandemic days were very efficient, Ross says. “Fully into the pandemic we had a 34% increase in project delivery,” he adds. But since then, productivity and innovation have waned, in part because of fading relationships between once in-person teams, along with a slew of new

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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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Machine Learning with Limited Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. Most of the algorithm’s behaviors change if the amount of data is increased or […].

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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

With technological advancement, data revolutionizes many business processes. Experts assert that one of the leverages big businesses enjoy is using data to re-enforce the monopoly they have in the market. Big data is large chunks of information that cannot be dealt with by traditional data processing software. It needs to be analyzed with premium tech tools to deduce insights germane to user experience as well as scaling businesses.

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Maryfran Johnson, Host of the CIO Leadership Live video podcast, CEO Maryfran Johnson Media

CIO Business Intelligence

It’s a wrap. Lee interviews Maryfran Johnson about 2022 trending themes in technology as discussed with CIOs on CIO Leadership Live. Watch this episode: Listen to this episode: CIO Leadership Live.

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Streamlining Machine Learning Workflows with MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. It’s a fitting way to end what has been another big year for the industry. We’re at an exciting inflection point for AI.

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5 Python Projects for Data Science Portfolio

KDnuggets

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

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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.

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7 ways CIOs can build a high-performance team

CIO Business Intelligence

Having a clear vantage point within the organization, CIOs play a vital role bringing together engaged and motivated employees to work toward a common outcome, increase productivity, and achieve better business outcomes. Many CIOs know that a high-performance team is usually greater than the sum of its parts, comprised of talent with highly complementary skills, a broader set of objectives than other teams, and fine-tuned approaches to collaboration and communication.

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Know about Zero Shot, One Shot and Few Shot Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines would require thousands of samples to identify the objects. Learning from a limited sample would be challenging in machine learning. Having challenges, in recent advances, Machine learning has come up with new […].

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Discover the Power of Analytical Insights in Your Business Data

Smart Data Collective

Data analytics is not a new term, as it’s the same as interpreting information. It has been going on in various fields for many years and is now being incorporated into the business. The primary purpose is to predict or have future insights. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions.

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Top 5 NLP Cheat Sheets for Beginners to Professional

KDnuggets

The cheat sheets cover various NLP techniques, tasks, algorithms, frameworks, and analytics.

Analytics 160
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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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Microsoft signs $2.8B cloud deal with London Stock Exchange Group

CIO Business Intelligence

Microsoft has signed a 10-year deal with the London Stock Exchange Group (LSEG) that calls for the software giant to buy a 4% stake in the exchange in order to jointly develop new products and services for data and analytics. Microsoft will buy the stake from a Blackstone and Thomson Reuters consortium, which previously sold the financial data company Refinitiv to LSEG for £22bn (US$26.9 billion) in 2021.

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ChatGPT: Unlocking the Potential of Artificial Intelligence for Human-Like Conversation

Analytics Vidhya

Introduction ‘Hey, Siri, ‘Hey, Google,’ and ‘Alexa’ are some common voice assistants we use on an everyday basis. These fascinating conversational bots use Natural Language Understanding to understand the inputs. NLU is a subset of Natural Language Processing that enables the machine to understand the natural language (text/audio). NLU is a critical component in most […].

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The Role of Cloud Computing in Patient Engagement in Healthcare

Smart Data Collective

Cloud technology is changing the state of the healthcare sector. A number of hospitals are using the cloud for a variety of purposes, including improving data scalability, offering employees the opportunity to work remotely and improving patient engagement. Due to these many benefits, healthcare organizations are expected to spend over $128 billion on cloud services this year.

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Top Posts December 5-11: 4 Useful Intermediate SQL Queries for Data Science

KDnuggets

4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.

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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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SAP Innovation Awards: Celebrating 10 Years of Innovation

CIO Business Intelligence

It’s human nature — as well as the nature of this magnificent planet — that change is constant. But sometimes, change can be perceived as bad. We see and feel this in the form of climate change, supply chain issues, and sustainability challenges, just to name a few. But are these problems insurmountable? No. Rather, we see these as opportunities to innovate and make positive changes.

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Introduction to HyperLedger Fabric in Blockchain Network

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction HyperLedger Fabric is a permissioned blockchain infrastructure initially developed by IBM and Digital Asset. It is used for providing a modular architecture with a delineation of roles between the nodes in the infrastructure. It is also used in the execution of various Smart […].

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Cloud Technology is Essential for Transitioning to Remote Teams

Smart Data Collective

More companies are investing in cloud technology to jumpstart their growth. One of many reasons that people are using cloud computing is that it helps them create cohesive remote teams. This is one of the many reasons that more organizations are shifting towards a global workforce. Cloud Technology is Driving More Companies Towards Embracing Remote Teams.

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How To Collect Data For Customer Sentiment Analysis

KDnuggets

Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Data Analytics: Strategies to Demonstrate Value and Achieve Transformation

CIO Business Intelligence

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. We shared our insights at this CIO Online virtual roundtable event, which included leaders from organizations in healthcare, financial services, utilities, communications, and more.

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Understand the ACID and BASE in Morden Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started […]. The post Understand the ACID and BASE in Morden Data Engineering appeared first on Analytics Vidhya.

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Safety First: Using vehicle data to make us all better drivers

Teradata

Vehicle data is invaluable in improving the safety & safe operation of vehicles for their occupants & other drivers. The next gen of vehicles will use real-time analysis to make driving even safer.

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Sentiment Analysis on Encrypted Data with Homomorphic Encryption

KDnuggets

This blog post uses the Concrete-ML library, allowing data scientists to use machine learning models in fully homomorphic encryption (FHE) settings without any prior knowledge of cryptography. We provide a practical tutorial on how to use the library to build a sentiment analysis model on encrypted data.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Surprising Benefits of Smart Technology for Home Security

Smart Data Collective

Did you know that the market for smart homes is currently worth over $79 billion ? There is a reason that more families are investing in this technology. Smart home technology has revolutionized the way we improve the safety of our homes and families. Digital locks and cameras allow us to safeguard our doors, windows, and other entry points 24/7 and monitors anyone who enters our home.

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CRUD Operations in MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction MongoDB is a type of NoSQL Database, that stores data in document format(bson or binary json format). Its advantage over traditional SQL Databases includes the flexibility of schema-design, relaxation of its ACID properties and its distributed data storage capability thus performing better for […].

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Hybrid working: network managers need to take care of unfinished business

CIO Business Intelligence

For many enterprises, the pandemic involved rapidly deployed ways of enabling remote working. Today, the need for long-term solutions means that hybrid working is one of the top three trends driving network modernization – as reflected in the 2022-23 Global Network Report published by NTT. According to the survey data for this report, 93% of CEOs agree that even if their staff return to the physical workplace, they will provide an expanded remote or hybrid-working policy.

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From Data to Verse: KDnuggets and ChatGPT in Conversation

KDnuggets

KDnuggets recently had the opportunity to sit down with newly-released acclaimed artificial intelligence ChatGTP from OpenAI. What we found during the course of conversation was both interesting and surprising. Read on to find out what ChatGPT knew about data science and much more.

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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.