Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction You may be asked questions on various topics in a data science interview. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions.

Data Science 362

Data Science Statistics Machine Learning Testing 362

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science. It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms.

Testing 331

Testing Statistics Deep Learning Machine Learning 331

Analytics Vidhya

JANUARY 2, 2024

Are you new to Data Science or a seasoned data scientist? Test your knowledge with our A-Z Guide to 110 Key Data Science Terms.Let’s embark on this educational adventure together and uncover the rich tapestry of terms that power the engines of artificial intelligence and analytics.

Data Science 299

Data Science Testing Analytics Deep Learning 299

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 331

Testing Machine Learning Data Science Publishing 331

Analytics Vidhya

NOVEMBER 29, 2023

Introduction Data science has become one of the most valuable skills in the tech market. Before the data science evolution, it would take up to 11-12 years to finish processing the data of millions of test cases. But now, it takes months, sometimes just weeks! appeared first on Analytics Vidhya.

Data Science 273

Data Science IT Testing Marketing 273

Analytics Vidhya

DECEMBER 7, 2023

Introduction The Graduate Aptitude Test in Engineering (GATE) is an entrance examination conducted in India for postgraduate admission. The exam primarily tests the comprehensive understanding of undergraduate subjects in engineering and sciences.

Data Science 298

Data Science Testing Analytics Data mining 298

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.

Testing 287

Testing Machine Learning Data Science Publishing 287

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.

Testing 271

Testing Machine Learning Data Science Publishing 271

CIO Business Intelligence

JANUARY 19, 2024

According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Check out our list of top big data and data analytics certifications.) The exam consists of 60 questions and the candidate has 90 minutes to complete it.

Data Science 127

Data Science Machine Learning Predictive Modeling Experimentation 127

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Analytics Vidhya

OCTOBER 5, 2020

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

Machine Learning 383

Machine Learning Data Science Publishing Analytics 383

Analytics Vidhya

MAY 28, 2021

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. The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya.

Testing 322

Testing Statistics Data Science Publishing 322

Analytics Vidhya

MAY 28, 2021

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

Testing 301

Testing Data Science Publishing Analytics 301

Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential.

Machine Learning 389

Machine Learning Data Science Data Collection Testing 389

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.

Metrics 285

Metrics Testing Machine Learning Analytics 285

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article is part of blog series on Machine Learning Operations(MLOps). In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering.

Modeling 335

Modeling Machine Learning Testing Data Science 335

Analytics Vidhya

JUNE 27, 2021

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. The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya.

Statistics 183

Statistics Testing Data Science Publishing 183

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Not least is the broadening realization that ML models can fail.

Machine Learning 192

Machine Learning Modeling Testing Risk Management 192

Analytics Vidhya

JANUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Machine Learning Pipeline Data Preprocessing Flow of pipeline 1. Loading data into Cloud Storage 3. Creating the Project in Google Cloud 2.

Machine Learning 379

Machine Learning Testing Data Science Publishing 379

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Analytics Vidhya

JUNE 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hierarchical Clustering is one of the most popular and useful. The post 20 Questions to Test Your Skills on Hierarchical Clustering Algorithm appeared first on Analytics Vidhya.

Testing 202

Testing Data Science Publishing Analytics 202

Analytics Vidhya

MAY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction K nearest neighbour (KNN) is one of the most widely. The post 20 Questions to Test your Skills on KNN Algorithm appeared first on Analytics Vidhya.

Testing 177

Testing Data Science Publishing Analytics 177

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 355

Machine Learning Testing Data Science Optimization 355

Smart Data Collective

JUNE 10, 2022

Are you interested in a career in data science? The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. Data Scientist. Machine Learning Engineer. Data Architect. Machine Learning Scientist.

Data Science 117

Data Science Machine Learning Statistics Business Intelligence 117

Analytics Vidhya

JUNE 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Linear Regression, a supervised technique is one of the simplest. The post 25 Questions to Test Your Skills on Linear Regression Algorithm appeared first on Analytics Vidhya.

Testing 164

Testing Data Science Publishing Analytics 164

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer.

Modeling 334

Modeling Machine Learning Metrics Testing 334

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Clustering Algorithms come in handy to use when the dataset. The post 20+ Questions to Test your Skills on K-Means Clustering Algorithm appeared first on Analytics Vidhya.

Testing 178

Testing Data Science Publishing Analytics 178

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

KDnuggets

FEBRUARY 22, 2023

Learning Python in Four Weeks: A Roadmap • Is Data Science a Dying Career? Hypothesis Testing in Data Science • 7 Best Tools for Machine Learning Experiment Tracking • 5 Genuinely Useful Bash Scripts for Data Science

Data Science 90

Data Science Machine Learning Testing 90

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Engineering and EDA (Exploratory Data analytics) are the techniques. The post 20 Questions to Test Your Skills on Feature Engineering and EDA appeared first on Analytics Vidhya.

Testing 147

Testing Data Science Publishing Data Analytics 147

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.

Machine Learning 284

Machine Learning Testing Modeling Analytics 284

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 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

Domino Data Lab

MAY 15, 2019

This Domino Data Science Field Note covers Pete Skomoroch ’s recent Strata London talk. It focuses on his ML product management insights and lessons learned. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One. Product Management for Machine Learning.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Introduction Instance-based learning is an important aspect of supervised machine learning. The modus operandi of this algorithm is that the training examples are being stored and when the test […].

Modeling 287

Modeling Machine Learning Testing Data Science 287