Analytics Vidhya

SEPTEMBER 19, 2022

Introduction For data scientists and machine learning engineers, developing and testing machine learning models may take a lot of time. The post Make Model Training and Testing Easier with MultiTrain appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Testing Modeling Machine Learning Data Science 301

Analytics Vidhya

JULY 24, 2022

Introduction One of the areas of machine learning research that focuses on knowledge retention and application to unrelated but crucial problems is known as “transfer learning.” ” In other words, rather than being a particular form of machine learning algorithm, transfer learning is a […].

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Testing Data Science Machine Learning Publishing 376

KDnuggets

AUGUST 31, 2022

In order to do so, you need to understand the difference between training and testing data in machine learning. When building a predictive model, the quality of the results depends on the data you use.

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Machine Learning Testing Predictive Modeling Modeling 143

Analytics Vidhya

NOVEMBER 27, 2021

It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms. One of the popular statistical processes is Hypothesis Testing having vast usability, not […]. The post Creating a Simple Z-test Calculator using Streamlit appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 16, 2023

The problem is that you may not have new data, but you can still experience this with a procedure like train-test-validation split. Isn’t it interesting to see how your model performs on a data set? […] The post A Comprehensive Guide to Train-Test-Validation Split in 2023 appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 28, 2022

Introduction In this article, we will go on to discuss the important crux interview question on “Data Science” & “Machine Learning” which is helpful to get a clear understanding of the techniques, and also for Machine Learning, Artificial Intelligence, and Data Science Interviews. […].

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Testing Data Science Machine Learning Publishing 264

Analytics Vidhya

MAY 9, 2024

Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. It involves dividing a training dataset into multiple subsets and testing it on a new set. This prevents overfitting by encouraging the model to learn underlying trends associated with the data.

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Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Decision Trees which are supervised Machine Learning Algorithms are one. The post 25 Questions to Test Your Skills on Decision Trees appeared first on Analytics Vidhya.

Testing 330

Testing Machine Learning Data Science Publishing 330

KDnuggets

JANUARY 31, 2022

Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub.

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David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

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Machine Learning Key Performance Indicator Optimization Analytics 235

Analytics Vidhya

APRIL 12, 2023

The number of games being made has increased in recent years to meet the number of […] The post How AI Is Revolutionizing Game Testing in 2023 appeared first on Analytics Vidhya. The global gaming industry is a three-hundred-billion-dollar industry with approximately 3.9 billion gamers across the world.

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Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Random Forest (Ensemble technique) is a Supervised Machine Learning Algorithm. The post Bagging- 25 Questions to Test Your Skills on Random Forest Algorithm appeared first on Analytics Vidhya.

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Testing Machine Learning Data Science Publishing 271

Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction DBSCAN(Density-Based Spatial Clustering Application with Noise), an unsupervised machine learning. The post 20 Questions to Test your Skills on DBSCAN Clustering Algorithm appeared first on Analytics Vidhya.

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Testing Machine Learning Data Science Publishing 287

Analytics Vidhya

FEBRUARY 4, 2020

Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an. The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya.

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Metrics Testing Machine Learning Analytics 281

Analytics Vidhya

APRIL 6, 2023

From the Turing machine to modern-day AI marvels like ChatGPT, the landscape of AI has evolved to encompass a wide range of applications in […] The post From Turing Test to ChatGPT: The Remarkable Journey of AI appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 24, 2024

Introduction In the world of machine learning, the trend toward smaller, more efficient models has grown significantly. These compact models are crucial for developers and researchers who need to run applications locally on devices with limited resources.

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Modeling Machine Learning Testing Analytics 292

Analytics Vidhya

OCTOBER 5, 2020

The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI.

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Machine Learning Data Science Publishing Analytics 375

Analytics Vidhya

AUGUST 17, 2022

The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya. A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […].

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Testing Data Science Publishing Modeling 283

DataCamp

MAY 5, 2020

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.

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Machine Learning Statistics Testing Measurement 96

Smart Data Collective

NOVEMBER 12, 2021

It doesn’t get any more cutting-edge at the moment than machine learning, and it’s not only large companies that have already started to take advantage. However, machine learning enables much more. Perhaps the most significant advantage machine learning can provide is personalizing the entire sales funnel.

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Machine Learning Marketing Testing Advertising 133

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it.

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Machine Learning Testing Strategy Modeling 116

KDnuggets

DECEMBER 22, 2021

What is going on when machine learning can't make the jump from testing to production, and so doesn't add any business value?

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Machine Learning Testing 152

Analytics Vidhya

MAY 28, 2021

The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression, a statistical model is a very popular and.

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Testing Statistics Data Science Publishing 322

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. How to choose the right ML Framework.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Not least is the broadening realization that ML models can fail. ML security audits.

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Analytics Vidhya

JUNE 7, 2021

The post Performance Testing ML Serving APIs With Locust appeared first on Analytics Vidhya. ArticleVideo Book “Just as athletes can’t win without a sophisticated mixture of strategy, form, attitude, tactics, and speed, performance engineering requires a good collection.

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Analytics Vidhya

MAY 28, 2021

The post 20 Questions to Test Your Skills On Dimensionality Reduction (PCA) appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Principal Component Analysis is one of the famous Dimensionality.

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Testing Data Science Publishing Analytics 301

Analytics Vidhya

FEBRUARY 25, 2023

Introduction Often while working on predictive modeling, it is a common observation that most of the time model has good accuracy for the training data and lesser accuracy for the test data.

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Smart Data Collective

NOVEMBER 16, 2022

Machine learning technology is one of the new technologies that has drastically changed the state of video editing. Machine learning also makes it easier for video editors to create more engaging videos by utilizing unique features that were not previously possible. Keep reading to learn more.

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Machine Learning Marketing Software Technology 109

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

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Machine Learning Broadcasting Risk Data mining 78

Analytics Vidhya

JUNE 27, 2021

The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Selection is the process of selecting the features which.

Statistics 178

Statistics Testing Data Science Publishing 178

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. However, there are a lot of other benefits as well.

Machine Learning 135

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KDnuggets

NOVEMBER 14, 2019

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

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Testing Machine Learning 86

Smart Data Collective

APRIL 13, 2022

Machine learning technology is becoming a more important aspect of modern marketing. Machine learning technology is a very important element of digital marketing. One of the most valuable applications of machine learning technology is with web design. A number of web development tools use machine learning.

Machine Learning 126

Machine Learning Advertising Cost-Benefit Marketing 126

Analytics Vidhya

JANUARY 11, 2024

This quiz series features 10 thought-provoking questions on Clustering Algorithms in Machine Learning. Embark on this journey of continuous learning and test your knowledge across pivotal topics shaping the future of analytics and technology. Ready to challenge your knowledge! Let’s Begin!

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Analytics Vidhya

FEBRUARY 20, 2023

Introduction Testing your machine learning model on an unseen dataset is a mandatory step to evaluate the model performance and gain insights into the overall behavior after the pre-training stage.

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Machine Learning Testing Modeling Analytics 279

Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? That’s where machine learning algorithms come into place. That’s where machine learning algorithms come into place. Do an A/B testing and find out.

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