Analytics Vidhya

APRIL 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Tried optimizing a large machine learning problem, by some advanced algorithm, The post Simpler Implementation for Advanced Optimization Algorithms appeared first on Analytics Vidhya.

Optimization 271

Optimization Machine Learning Data Science Publishing 271

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction Hey all, I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. What if I say one can do this by having […].

Optimization 371

Optimization Data Science Publishing Analytics 371

Analytics Vidhya

JUNE 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The Hyperparameter Optimization for Machine Learning (ML) algorithm is an. The post 5 Hyperparameter Optimization Techniques You Must Know for Data Science Hackathons appeared first on Analytics Vidhya.

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Optimization Data Science Machine Learning Publishing 210

Analytics Vidhya

JANUARY 13, 2023

This article was published as a part of the Data Science Blogathon. The post Travel The World | Optimizing Travel Itinerary with Python appeared first on Analytics Vidhya. Introduction Travel planning can be a daunting task, especially when it comes to finding the most cost-effective and efficient itinerary.

Optimization 271

Optimization Data Science Publishing Analytics 271

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, we will build a random forest classifier(RFClassifier) model to detect breast cancer using this dataset from Kaggle. The post A Hands-On Discussion on Hyperparameter Optimization Techniques appeared first on Analytics Vidhya.

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Optimization Data Science Publishing Modeling 285

Analytics Vidhya

DECEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. The post How to Optimize the Performance of AWS S3? Introduction Source: krzysztof-m from Pixabay Amazon Web Services (AWS) Simple Storage Service (S3) is a highly scalable, secure, and durable cloud storage service. appeared first on Analytics Vidhya.

Optimization 235

Optimization Data Science Publishing Analytics 235

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In an unsupervised algorithm, The post K-Mean: Getting The Optimal Number Of Clusters appeared first on Analytics Vidhya. Introduction K-means clustering is an unsupervised algorithm.

Optimization 302

Optimization Data Science Publishing Analytics 302

Analytics Vidhya

NOVEMBER 2, 2022

This article was published as a part of the Data Science Blogathon. Source: Pexels Introduction Hyperparameter tuning or optimization is important in any machine learning model training activity. The hyperparameters of a model cannot be determined from the given datasets through the learning process.

Machine Learning 316

Machine Learning Data Science Publishing Optimization 316

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction The gradient descent algorithm is an optimization algorithm mostly used in machine learning and deep learning. In linear regression, it finds weight and biases, and deep learning backward propagation uses the […].

Deep Learning 342

Deep Learning IT Machine Learning Data Science 342

Smart Data Collective

NOVEMBER 1, 2021

Machine learning technology has become an integral part of many different design processes. Many entrepreneurs use machine learning to improve logo designs. One of the areas where machine learning has proven particularly useful has been with 3D printing. Optimize the Design. Consider Lightweighting.

Machine Learning 132

Machine Learning Cost-Benefit Manufacturing Optimization 132

CIO Business Intelligence

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London) Regions.

Machine Learning 108

Machine Learning Forecasting Recreation/Entertainment Metrics 108

CIO Business Intelligence

JUNE 2, 2022

Recent notable research from the University of Cambridge, enabled by energy efficient HPC, includes a study on transformational machine learning (TML) and another on a robotic approach to reproducing research results. . Teaching Machines to ‘Learn How to Learn’.

Machine Learning 142

Machine Learning Deep Learning Data Quality Strategy 142

Analytics Vidhya

NOVEMBER 19, 2021

This is article was published as a part of the Data Science Blogathon. In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples.

Machine Learning 337

Machine Learning Testing Data Science Publishing 337

Smart Data Collective

JANUARY 27, 2021

Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted. Importance of machine learning in forecasting cryptocurrency prices.

Machine Learning 138

Machine Learning Forecasting Predictive Analytics Marketing 138

IBM Big Data Hub

FEBRUARY 5, 2024

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. Explore generative AI Learn more about the work IBM Consulting® is doing in generative AI.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 89

Machine Learning Modeling Metadata Recreation/Entertainment 89

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction The basic idea of building a machine learning model is to assess the relationship between the dependent and independent variables. In doing so, we need to optimize the model performance.

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Metrics Machine Learning Data Science Publishing 206

Analytics Vidhya

AUGUST 29, 2022

This article was published as a part of the Data Science Blogathon.

Forecasting 239

Forecasting Machine Learning Data Science Publishing 239

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 70

Optimization Data Analytics Analytics Data-driven 70

Ontotext

APRIL 15, 2020

The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. GraphDB is also used by some of the participants in the COVID-19 Open Research Dataset Challenge (CORD-19) organized by Kaggle, the largest online community of data science and machine learning. The Mayo Clinic.

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Publishing Metadata Data mining Technology 105

Smart Data Collective

JUNE 7, 2019

Machine learning is playing a very important role in improving the functionality of task management applications. In January, Towards Data Science published an article on this very topic. “In Project managers should be aware of the changes that machine learning has brought to task management applications.

Machine Learning 77

Machine Learning Software Management Data Science 77

Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction Search engines make use of keywords for search optimization. It is the best way to help users get the most out of their search. Bloggers and content writers use keywords to target their audience.

Data Science 362

Data Science Publishing Optimization Analytics 362

Smart Data Collective

AUGUST 12, 2019

The search engine optimization profession relies heavily on big data. However, Google isn’t the only company using AI and machine learning in search. Machine Learning is Changing the Art of Link building. Machine learning is playing an important role in the nature of SEO strategies, including building links.

Machine Learning 76

Machine Learning Marketing Strategy Publishing 76

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon A comprehensive guide for finding the best hyper-parameter for your model efficiently. Tuning hyperparameter is more efficient with Bayesian optimized algorithms compared to Brute-force algorithms. Introduction Optimizing ML models […].

Modeling 322

Modeling Optimization Data Science Publishing 322

Smart Data Collective

MAY 22, 2019

Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. Using machine learning to develop more engaging pictures.

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Optimization Marketing Big Data Machine Learning 77

Analytics Vidhya

MAY 15, 2022

This article was published as a part of the Data Science Blogathon Introduction- Hyperparameters in a neural network A deep neural network consists of multiple layers: an input layer, one or multiple hidden layers, and an output layer. In order to develop any deep learning model, one must decide on the most optimal values of […].

Deep Learning 258

Deep Learning Modeling Data Science Publishing 258

Analytics Vidhya

FEBRUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we shall explore the process of deriving the optimal coefficients for a simple logistic regression model. Most of us might be familiar with the immense utility of logistic regressions to solve supervised classification problems.

Data Science 251

Data Science Publishing Optimization Modeling 251

IBM Big Data Hub

AUGUST 7, 2023

2,3 When clinical trials are prematurely discontinued due to trial site underperformance, the research questions remain unanswered and research findings end up not published. It explores the impact of different scenarios, evaluate trade-offs, and determine the optimal actions to be taken.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Smart Data Collective

APRIL 10, 2020

Machine learning is helping companies in every sector optimize their business models. Machine learning advances are helping companies solve some of their most obvious problems. Machine learning can help with both. Companies that use machine learning tools can solve many accounting problems.

Machine Learning 115

Machine Learning Cost-Benefit Big Data Forecasting 115

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.

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Management Machine Learning Experimentation Metrics 341

CIO Business Intelligence

JANUARY 25, 2024

Just as IT leaders already use machine learning tools to automate workflows and boost efficiency, they need to arm their teams with AI-powered tools in 2024 to drive business results and optimize workflows. A version of this story originally published on The Works. Artificial Intelligence

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ROI Experimentation Sales Finance 104

CIO Business Intelligence

JANUARY 8, 2024

Instead, the publicly held operator of Cathay Pacific Airlines and HK Express is shifting from migration to optimization mode in an effort to wrest additional benefits from its all-in cloud transformation. Enhanced automation and self-service will also be emphasized as part of the cloud optimization strategy, Nair says.

Optimization 115

Optimization Digital Transformation Cost-Benefit Data Warehouse 115

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Learn more artificial intelligence and machine learning tips on the DataRobot blog. MLOps Helps Mitigate the Unforeseen in AI Projects.

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Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. billion in 2022, according to a research study published by The Insight Partners in August 2022.

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Predictive Analytics Analytics Predictive Modeling Forecasting 145

Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

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Optimization Measurement Testing Publishing 87

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

DataRobot

FEBRUARY 10, 2021

Machine learning is a glass cannon. The promise and power of AI lead many researchers to gloss over the ways in which things can go wrong when building and operationalizing machine learning models. As a data scientist, one of my passions is to reproduce research papers as a learning exercise.

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Modeling Deep Learning Machine Learning Metrics 98