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

article thumbnail

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. […].

article thumbnail

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).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.".

article thumbnail

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

IT 145
article thumbnail

Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

article thumbnail

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 […].

article thumbnail

5 Best Practices for Extracting, Analyzing, and Visualizing Data

Smart Data Collective

Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. It has greatly aided in the automation of formerly manual activities, making everything more smooth and efficient. However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance.

More Trending

article thumbnail

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.

article thumbnail

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 […].

article thumbnail

8 Ways AI Contributes to Ecommerce Business Scalability

Smart Data Collective

Artificial intelligence has offered a plethora of benefits for businesses in every sector. The ecommerce industry is among those most benefiting from advances in AI. Therefore, it is no surprise that the market for AI-enabled ecommerce services is projected to be worth nearly $17 billion by 2030. Ecommerce giants like Amazon are finding creative ways to leverage AI.

article thumbnail

Free Intermediate Python Programming Crash Course

KDnuggets

Master the basics of python with this free crash course.

160
160
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

article thumbnail

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.

article thumbnail

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 […].

article thumbnail

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.

Big Data 129
article thumbnail

The Complete MLOps Study Roadmap

KDnuggets

Kickstart your career as an MLOps Engineer with this study roadmap.

156
156
article thumbnail

8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

article thumbnail

How tech leaders can better navigate organizational politics

CIO Business Intelligence

When you think about people entangled in organizational politics, terms that come to mind include manipulation, self-serving, turf battles, power plays, and hidden agendas. Not terribly uplifting. But Neal Sample, former CIO of Northwestern Mutual, sees it a different way. “I think of a different set of words like influence, diplomacy and collaboration,” he says.

article thumbnail

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 […].

Analytics 357
article thumbnail

Amazing Ways AI is Changing the Marketing Landscape

Smart Data Collective

Did you know that companies are projected to spend over $107 billion on AI-based marketing solutions by 2028? There is no doubt that artificial intelligence is creating a number of new changes for people in the marketing profession. However, many people are still wondering what the actual effects of AI on marketing will be. If yo are in the marketing profession, you will need to learn more about some of the biggest AI trends that will change your career in the years ahead.

Marketing 128
article thumbnail

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.

article thumbnail

Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

article thumbnail

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.

article thumbnail

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 […].

article thumbnail

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.

article thumbnail

Markdown Cheatsheet

KDnuggets

Markdown is a lightweight markup language for creating formatted text using a plain-text editor. Grab this handy reference sheet to make certain you know how to implement what you need to, when you want to!

145
145
article thumbnail

The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

Analytics 124
article thumbnail

Zero-shot Learning, Explained

KDnuggets

How you can train a model to learn and predict unseen data?

Modeling 131
article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

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.

article thumbnail

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 […].

article thumbnail

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.

article thumbnail

Tuning Adam Optimizer Parameters in PyTorch

KDnuggets

Choosing the right optimizer to minimize the loss between the predictions and the ground truth is one of the crucial elements of designing neural networks.

article thumbnail

The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.