KDnuggets

JULY 8, 2022

The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

Machine Learning 154

Machine Learning 154

Analytics Vidhya

FEBRUARY 13, 2023

Introduction Machine learning models have come a long way in the past few decades but still face several challenges, including robustness. Robustness refers to the ability of a model to work well on unseen data, an essential requirement for real-world applications.

Modeling 340

Modeling Machine Learning Analytics Data Science 340

Analytics Vidhya

MAY 27, 2023

Introduction Bike-sharing demand analysis refers to the study of factors that impact the usage of bike-sharing services and the demand for bikes at different times and locations. The purpose of this analysis is to understand the patterns and trends in bike usage and make predictions about future demand.

Machine Learning 319

Machine Learning Statistics Analytics Forecasting 319

Smart Data Collective

NOVEMBER 23, 2022

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. billion within the next five years , since machine learning helps developers create powerful new apps.

Machine Learning 136

Machine Learning Testing Cost-Benefit Publishing 136

Smart Data Collective

SEPTEMBER 13, 2023

Machine Learning is Crucial for Success in Digital Marketing If you have a Spotify or Netflix account, you have probably noticed a trend. If yes, then you will be amazed to learn that this is all machine learning. Now read on to learn more about machine learning and digital marketing.

Machine Learning 124

Machine Learning Marketing Strategy Optimization 124

Analytics Vidhya

JUNE 27, 2022

He will be explaining MLOps referred as Machine learning operations, the present and future state […]. Anish has been a Lead Data Science consultant for various Fortune 500 customers for a long time and has helped over 2000 employees into the Data Science profession.

Machine Learning 270

Machine Learning Consulting Data Science Interactive 270

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. Watermark attacks.

Modeling 275

Modeling Machine Learning Predictive Modeling Consulting 275

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

FEBRUARY 28, 2023

While the technology is not new, this is being referred to as the year for AI. Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. How Does Machine Learning Impact Risk Parity?

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

CIO Business Intelligence

NOVEMBER 1, 2024

Some examples of AI consumption are: Defect detection and preventative maintenance Algorithmic trading Physical environment simulation Chatbots Large language models Real-time data analysis To find out more about how your business could benefit from a range of AI tools, such as machine learning as a service, click here.

Recreation/Entertainment 120

Recreation/Entertainment Machine Learning Modeling Data Science 120

Analytics Vidhya

DECEMBER 4, 2020

Introduction Random Forests are always referred to as black-box models. This article was published as a part of the Data Science Blogathon. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

Data Science 399

Data Science Publishing Modeling Analytics 399

O'Reilly on Data

NOVEMBER 19, 2024

For example, a mention of “NLP” might refer to natural language processing in one context or neural linguistic programming in another. This is shown in the following: A set of open source tutorials serve as a reference implementation for this approach. LLMs are notorious for making these kinds of mistakes when generating graphs.

Unstructured Data 312

Unstructured Data Structured Data Modeling Statistics 312

Analytics Vidhya

SEPTEMBER 16, 2022

Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […]. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples.

Data Science 397

Data Science Publishing Analytics IT 397

Analytics Vidhya

DECEMBER 1, 2021

Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Image Source: GitHub Table of Contents What is Data Engineering? Initially, we have the definition of Software […].

Data Lake 391

Data Lake Data Science Publishing Software 391

CIO Business Intelligence

OCTOBER 28, 2024

For example, Whisper correctly transcribed a speaker’s reference to “two other girls and one lady” but added “which were Black,” despite no such racial context in the original conversation. Another machine learning engineer reported hallucinations in about half of over 100 hours of transcriptions inspected.

Risk 120

Risk Reporting Machine Learning Consulting 120

datapine

MAY 14, 2019

2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machine learning and deep learning avenues of the field. 4) “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

David Menninger's Analyst Perspectives

MARCH 13, 2024

The process of managing all these parts is referred to as Machine Learning Operations or MLOps. First, there is a shortage of skills. Second, the process itself involves many parts, each of which require discipline and governance.

Machine Learning 200

Machine Learning Data-driven Modeling Reporting 200

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Sentiment analysis refers to identifying as well as classifying the. The post Twitter Sentiment Analysis- A NLP Use-Case for Beginners appeared first on Analytics Vidhya.

Data Science 338

Data Science Publishing Analytics Machine Learning 338

Analytics Vidhya

MAY 8, 2024

Introduction Have you ever thought robots would learn independently with the power of LLMs? In robotics, sim-to-real transfer refers to transferring policies learned in simulation to the real world. It’s happening now! DrEureka is automating sim-to-real design in robotics.

Analytics 319

Analytics IT Deep Learning Machine Learning 319

Analytics Vidhya

SEPTEMBER 25, 2023

Introduction The forex market refers to the market of currency exchange at the global level. Artificial intelligence (AI) has played a key role in the advancement of the forex market. In 2023, traders can easily access financial data and historical information about the trading market with a superior security system.

Marketing 336

Marketing Analytics Deep Learning Machine Learning 336

Analytics Vidhya

APRIL 28, 2021

ArticleVideo Book Hierarchical Modelling Hierarchical modeling also referred to as a nested model, deals with data with the observations in a certain group. The post Mixed-effect Regression for Hierarchical Modeling (Part 1) appeared first on Analytics Vidhya.

Modeling 329

Modeling Analytics Structured Data Machine Learning 329

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI In this post, we shed some light on various efforts toward generating data for machine learning (ML) models. Machine learning applications rely on three main components: models, data, and compute.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

O'Reilly on Data

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. ” If none of your models performed well, that tells you that your dataset–your choice of raw data, feature selection, and feature engineering–is not amenable to machine learning.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

Rocket-Powered Data Science

FEBRUARY 12, 2021

In the rest of this article, we will refer to IPA as intelligent automation (IA), which is simply short-hand for intelligent process automation. Process automation is relatively clear – it refers to an automatic implementation of a process, specifically a business process in our case. Sound similar?

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

Analytics Vidhya

JUNE 26, 2023

Responsible AI refers to the sustainable […] The post How to Build a Responsible AI with TensorFlow? With the pace at which AI is developing, ensuring the technology is safe has become increasingly important. This is where responsible AI comes into the picture. appeared first on Analytics Vidhya.

Technology 306

Technology Analytics Machine Learning Modeling 306

Analytics Vidhya

DECEMBER 14, 2021

Sentiment analysis refers to the idea of predicting the sentiment ( […]. This article was published as a part of the Data Science Blogathon Introduction In today’s digital world, social media platforms like Facebook, Whatsapp, Twitter have become a part of our everyday schedule.

Data Science 306

Data Science Publishing Analytics Machine Learning 306

Analytics Vidhya

AUGUST 25, 2021

Items refer to any product that the recommender system suggests to its user like movies, music, news, travel […]. This article was published as a part of the Data Science Blogathon Introduction Recommender System is a software system that provides specific suggestions to users according to their preferences.

Data Science 291

Data Science Publishing Software Analytics 291

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. See additional references and resources at the end of this article. OVX Validated Reference Architecture for AI-ready Infrastructures First question: What is OVX validation?

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

David Menninger's Analyst Perspectives

OCTOBER 5, 2020

Our methodology for these assessments is referred to as a Value Index. Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors.

Software 290

Software Analytics Business Intelligence Technology 290

Analytics Vidhya

JULY 30, 2022

GCP offers three reference architectures for global data distribution – a hybrid, multi-cloud, and regional distribution. This article was published as a part of the Data Science Blogathon. Introduction Google Cloud Platform (GCP) consists of many database services.

Data Science 287

Data Science Publishing Analytics IT 287

O'Reilly on Data

MARCH 7, 2019

They use a lot of jargon: 10/10 refers to the intensity of pain. Generalized abd radiating to lower” refers to general abdominal (stomach) pain that radiates to the lower back. Jargon refers to the 100-200 new words you learn in the first month after you join a new school or workplace. They don’t have a subject.

Deep Learning 277

Deep Learning Testing Machine Learning Modeling 277

AWS Big Data

FEBRUARY 20, 2024

In this post, we discuss how to architect a near-real-time analytics solution with AWS managed analytics, AI and machine learning (ML), and database services. With such a solution, businesses can make actionable decisions in near-real time, allowing leaders to change strategic direction as soon as the market changes.

Visualization 113

Visualization Cost-Benefit Optimization B2B 113

Analytics Vidhya

MARCH 6, 2022

In the last article, we have talked about Building Search Engines using NLP concepts if you haven’t read it, refer to this link. This article was published as a part of the Data Science Blogathon. Source: Link Hey Folks!! In this article, we are going to talk about an application of Image Classing /Classification and that […].

Modeling 271

Modeling Data Science Publishing Analytics 271

Rocket-Powered Data Science

MARCH 10, 2020

The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). Finally, in Chapter 8, the connection between graph algorithms and machine learning that was implicit throughout the book now becomes explicit. Graph Algorithms book. Your team will become graph heroes.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

NOVEMBER 26, 2024

In practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning. For more examples and references to other posts, refer to the following GitHub repository. For more examples and references to other posts on using XTable on AWS, refer to the following GitHub repository.

Metadata 95

Metadata Data Lake Snapshot Data Warehouse 95

AWS Big Data

NOVEMBER 7, 2024

Refer to Easy analytics and cost-optimization with Amazon Redshift Serverless to get started. It can help optimize the generation process by reducing unnecessary table references. These examples serve as a valuable reference point for Amazon Q generative SQL, helping it understand the types of queries it is expected to generate.

Metadata 96

Metadata Sales Data Warehouse Optimization 96