Feature Selection Techniques in Machine Learning

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Introduction When building a machine learning model in real-life, it’s almost rare that all the variables in the dataset are useful to build a. The post Feature Selection Techniques in Machine Learning appeared first on Analytics Vidhya.

The Key Concept of Scrum in Machine Learning

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Human beings have been sensing, processing, The post The Key Concept of Scrum in Machine Learning appeared first on Analytics Vidhya. Beginner Machine Learning Use Cases agile blogathon machine learning agile machine learning scrum scrum

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A Tour of Evaluation Metrics for Machine Learning

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A Tour of Evaluation Metrics for Machine Learning After we train our. The post A Tour of Evaluation Metrics for Machine Learning appeared first on Analytics Vidhya. Beginner Classification Machine Learning Regression Statistics blogathon evaluation metrics

7 Feature Engineering Techniques in Machine Learning You Should Know

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Overview Feature engineering techniques are a must know concept for machine learning professionals Here are 7 feature engineering techniques you can start using right. The post 7 Feature Engineering Techniques in Machine Learning You Should Know appeared first on Analytics Vidhya.

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

How Does the Gradient Descent Algorithm Work in Machine Learning?

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Introduction Gradient Descent is one of the most used machine learning algorithms. The post How Does the Gradient Descent Algorithm Work in Machine Learning? Beginner Machine Learning Maths Python cost function gradient descent machine learning algorithm

How Can You Build a Career in Data Science & Machine Learning?

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Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning?

How Machine Learning Models Fail to Deliver in Real-World Scenarios

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The post How Machine Learning Models Fail to Deliver in Real-World Scenarios appeared first on Analytics Vidhya. Beginner Data Science Statistics Bayesian Statistics machine learning Machine Learning Models machine learning real world statistics

Building Sales Prediction Web Application using Machine Learning Dataset

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Introduction There are a lot of resources on the internet about finding insights and training models on machine learning datasets however very few articles. The post Building Sales Prediction Web Application using Machine Learning Dataset appeared first on Analytics Vidhya.

6 Python Libraries to Interpret Machine Learning Models and Build Trust

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The Case for Building Trust in Machine Learning Models There are approximately 1.2 The post 6 Python Libraries to Interpret Machine Learning Models and Build Trust appeared first on Analytics Vidhya. billion vehicles on the roads around the world. Here’s a bamboozling.

How to Integrate Machine Learning into Web Applications with Flask

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We all have come across various web applications that use machine learning. The post How to Integrate Machine Learning into Web Applications with Flask appeared first on Analytics Vidhya. For example, Netflix and YouTube use ML to personalize your experience by.

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

Machine Learning in Cyber Security — Malicious Software Installation

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The post Machine Learning in Cyber Security — Malicious Software Installation appeared first on Analytics Vidhya. Beginner Machine Learning NLP Python Technique random forest TF-IDF

Handling Imbalanced Data – Machine Learning, Computer Vision and NLP

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The post Handling Imbalanced Data – Machine Learning, Computer Vision and NLP appeared first on Analytics Vidhya. Computer Vision Intermediate Machine Learning NLP Python blogathon class imbalance SMOTEThis article was published as a part of the Data Science Blogathon. Introduction: In the real world, the data we gather will be heavily.

Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python

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The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya. Classification Intermediate Machine Learning Python Structured Data Supervised Technique Anova blogathon chi-square test Correlation

Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!

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Overview Learn to interpret Bias and Variance in a given model. The post Bias and Variance in Machine Learning – A Fantastic Guide for Beginners! Beginner Bias and Variance Machine Learning Python Structured Data bias bias error bias variance python bias variance tradeoff error machine learning machine learning model tradeoff VarianceWhat is the difference between Bias and Variance? How to achieve Bias and.

Plotting Decision Surface for Classification Machine Learning Algorithms

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Overview Machine Learning algorithms for classification involve learning how to assign classes to observations. The post Plotting Decision Surface for Classification Machine Learning Algorithms appeared first on Analytics Vidhya.

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

3 Building Blocks of Machine Learning you Should Know as a Data Scientist

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Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya. Beginner Machine Learning AI AI components AI project Artificial Intelligence building blocks of AI machine learning machine learning components ML ML project

10 Techniques to deal with Imbalanced Classes in Machine Learning

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The post 10 Techniques to deal with Imbalanced Classes in Machine Learning appeared first on Analytics Vidhya. Classification Intermediate Machine Learning Python Structured Data Technique Uncategorized class imbalance imbalanced dataset imblearn NearMiss random undersampling SMOTE

Support Vector Regression Tutorial for Machine Learning

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Unlocking a New World with the Support Vector Regression Algorithm Support Vector Machines (SVM) are popularly and widely used for classification problems in machine. The post Support Vector Regression Tutorial for Machine Learning appeared first on Analytics Vidhya. Algorithm Beginner Machine Learning Python Regression Structured Data regression Support Vector Machine support vector machine regression SVM svm kernel svm regression SVR

How to Deploy Machine Learning Models using Flask (with Code!)

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Overview Deploying your machine learning model is a key aspect of every ML project Learn how to use Flask to deploy a machine learning. The post How to Deploy Machine Learning Models using Flask (with Code!) Classification Data Engineering Data Mining Python Advanced Python machine learning model deployment Model deployment text classification Twitter API

Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. By automating repetitive work, and adding the ability to automate intelligent decision making, intelligent automation frees up your most valuable resources – your employees – to spend more time on higher value and more strategic work. But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In our ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning.

Introduction to Spark MLlib for Big Data and Machine Learning

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Overview With the demand for big data and machine learning, this article. The post Introduction to Spark MLlib for Big Data and Machine Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

How to Improve Class Imbalance using Class Weights in Machine Learning

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The post How to Improve Class Imbalance using Class Weights in Machine Learning appeared first on Analytics Vidhya. Beginner Classification Machine Learning Python blogathon class imbalanceThis article was published as a part of the Data Science Blogathon.

An Introduction to Machine Learning Libraries for C++

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Introduction I love working with C++, even after I discovered the Python programming language for machine learning. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya. Clustering Intermediate Libraries Linear Regression Machine Learning Programming Regression C C++ Libraries mlpack SharkC++ was the first programming language I.

Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python

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Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python appeared first on Analytics Vidhya. Machine Learning Python interpretable machine learning Interpretable ML LIME machine learning machine learning interpretability python

Humility in AI: Building Trustworthy and Ethical AI Systems

AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. In this ebook, we explore the concept of humility in AI systems and how it can be applied to existing solutions to ensure their trustworthiness, ethicality, and reliability in a fast-changing world.

Has Machine Learning Made Cryptocurrencies Traceable?

Smart Data Collective

Machine learning has become a major game changer for the cryptocurrency industry. Most of the benefits are machine learning have been positive for the market. Machine learning is being used to predict price patterns more easily.

Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning

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Introduction Machine learning is about building a predictive model using historical data. The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya.

Why is Automated Machine Learning Important?

DataFloq

A radical shift in the way enterprises of all scales address machine learning and data engineering is defined by Automated Machine Learning (AutoML). In Data Science, Automated Machine Learning is one of the powerful fields of study. The field of machine.

How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning

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Overview DBSCAN clustering is an underrated yet super useful clustering algorithm for unsupervised learning problems Learn how DBSCAN clustering works, why you should learn.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Everything you Should Know about Confusion Matrix for Machine Learning

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Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya. Beginner Classification Machine Learning Python Technique confusion matrix evaluation metric f1-score precision recallConfusion Matrix – Not So Confusing!

What is Bootstrap Sampling in Statistics and Machine Learning?

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Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? The post What is Bootstrap Sampling in Statistics and Machine Learning? Beginner Python Statistics Technique bootstrap sampling bootstrap sampling machine learning Bootstrapping sample SamplingYou’ve tried all your favorite hacks. appeared first on Analytics Vidhya.

Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning

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The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. Best Fitting) in Machine Learning appeared first on Analytics Vidhya. Beginner Machine Learning Technique generalization overfitting underfitting underfitting v overfitting

The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life

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Overview We are the in middle of a golden age of machine learning applications Here’s a comprehensive list of popular and common machine learning. The post The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life appeared first on Analytics Vidhya.

Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

Running Low on Time? Use PyCaret to Build your Machine Learning Model in Seconds

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Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya. Data Visualization Libraries Programming Python machine learning model pycaret pycaret library pycaret machine learning pycaret model pycaret python python Python library

Build your first Machine Learning pipeline using scikit-learn!

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Overview Understand the structure of a Machine Learning Pipeline Build an end-to-end ML pipeline on a real-world data Train a Random Forest Regressor for. The post Build your first Machine Learning pipeline using scikit-learn! Beginner Data Cleaning Machine Learning Python data preprocessing live coding One Hot Encoding python variable encoding

Precision vs. Recall – An Intuitive Guide for Every Machine Learning Person

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Overview Precision and recall are two crucial yet misunderstood topics in machine learning We’ll discuss what precision and recall are, how they work, and. The post Precision vs. Recall – An Intuitive Guide for Every Machine Learning Person appeared first on Analytics Vidhya. Beginner Machine Learning Python Structured Data Technique accuracy evaluation metric f1-score precision recall

Top 7 Machine Learning Github Repositories for Data Scientists

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Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning. The post Top 7 Machine Learning Github Repositories for Data Scientists appeared first on Analytics Vidhya. Data Science Deep Learning Machine Learning Python Computer Vision data science deep learning Github machine learning NLP python Reddit

Using a Machine Learning Data Catalog to Reboot Data Governance

Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy

Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. Join David Loshin and Sharon Graves as they discuss the need to think about data governance with end users in mind, and explore how a machine learning data catalog can help.