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

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.

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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.

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. Advanced Project Python Regression Structured Data Supervised data science machine learning Prediction

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?

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.

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. Confusion Matrix – Not So Confusing!

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.

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!

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

5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist

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Overview Start 2020 on the right note with these 5 challenging open-source machine learning projects These machine learning projects cover a diverse range of.

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.

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.

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

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.

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.

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 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.

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

Decoding the Best Machine Learning Papers from NeurIPS 2019

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Introduction NeurIPS is THE premier machine learning conference in the world. The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya. No other research conference attracts a crowd of 6000+ people in one place.

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

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

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.

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.

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 SMOTEOverview Get familiar with class imbalance Understand various techniques to treat imbalanced classes such as- Random under-sampling Random over-sampling NearMiss You can check the.

The Application Services in Machine Learning

DataFloq

Machine learning has now has become a new technical era where the learning process is becoming much easier and quick at understanding. Computing the predictions onlineMachine learning has developed the algorithms on congestion analysis to resolve the traffic-related issues.

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

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.

Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression

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Why C++ for Machine Learning? The applications of machine learning transcend boundaries and industries so why should we let tools and languages hold us. The post Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression appeared first on Analytics Vidhya. Algorithm Beginner Classification Libraries Linear Regression Machine Learning Regression C/C++ linear regression logistic regression machine learning

Heroes of Machine Learning – Top Experts and Researchers you should follow

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Overview The path to democratizing machine learning has been blazed by experts and researchers determined to make the world a better place We celebrate. The post Heroes of Machine Learning – Top Experts and Researchers you should follow appeared first on Analytics Vidhya. Career Machine Learning deep learning researchers heroes of deep learning heroes of machine learning machine learning experts machine learning researchers top ML experts

Machine Learning Algorithm Cheatsheet

Data Science 101

The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. Microsoft’s Azure Machine Learning Algorithm Cheat Sheet.

4 Types of Distance Metrics in Machine Learning

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Distance metrics are a key part of several machine learning algorithms. These distance metrics are used in both supervised and unsupervised learning, generally to. The post 4 Types of Distance Metrics in Machine Learning appeared first on Analytics Vidhya. Beginner Machine Learning Python Unsupervised clustering clustering evaluate distance functions distance metrics distance metrics mahine learning euclidean distance manhattan distance

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.

H2O Framework for Machine Learning

KDnuggets

This article is an overview of H2O, a scalable and fast open-source platform for machine learning. 2020 Jan Tutorials, Overviews Automated Machine Learning AutoML H2O Machine Learning Python

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

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And how do they work in machine learning algorithms? The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya. Machine Learning Python Statistics loss functions loss functions machine learning loss functions statistics machine learning regression loss statisticsOverview What are loss functions? Find out in this article Loss functions are actually at.

Announcing the Machine Learning Starter Program! [FREE Access for 14 Days!]

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Ideal Time to Start your Machine Learning Journey! Picture this – you want to learn all about machine learning but just can’t find the. The post Announcing the Machine Learning Starter Program! Analytics Vidhya Beginner Career Courses Machine Learning Resource Machine Learning Course machine learning ebook machine learning hackathon machine learning starter program

Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization

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The post Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization appeared first on Analytics Vidhya.

Managing risk in machine learning

O'Reilly on Data

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning.

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How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark

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Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression).

Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital

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Overview How do machine learning pipelines work? The post Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital appeared first on Analytics Vidhya. Interviews Leadership Retail Stories AI in retail AI project AI thought leader machine learning expert machine learning pipeline machine learning project thought leaderWhat’s the role of AI in retail?

7 Innovative Machine Learning GitHub Projects you Should Try Out in Python

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Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya. Machine Learning Python best github repositories Computer Vision deep learning GitHub machine learning github repositories machine learning NLP NLP github python

Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!

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The post Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! Data Science Machine Learning Python BERT data science data science projects DeepMind Google AI machine learning machine learning projects NLP projects python python projects Reinforcement LearningOverview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on.

21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!)

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Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to. The post 21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!) Big data Machine Learning Python Big Data tools data science data science tools machine learning Machine Learning tools python python tools reinforcement learning tools