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.

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.

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22 Widely Used Data Science and Machine Learning Tools in 2020

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The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20.

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.

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?

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.

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?

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?

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.

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!)

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!

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.

Real-World Machine Learning Case Study: Clustering Transactions Based on Text Descriptions

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The post Real-World Machine Learning Case Study: Clustering Transactions Based on Text Descriptions appeared first on Analytics Vidhya. Introduction We are living in the era of digital technologies. When was the last time you walked into a shop that didn’t have a.

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.

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.

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.

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.

4 Simple Ways to Split a Decision Tree in Machine Learning

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Learn all about decision tree. The post 4 Simple Ways to Split a Decision Tree in Machine Learning appeared first on Analytics Vidhya. Algorithm Beginner Machine Learning Technique Chi-Square Decision Trees Gini Impurity Information Gain Reduction in Variance Split decision tre

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! Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on.

6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists

Analytics Vidhya

Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s.

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.

Build a Machine Learning Model in your Browser using TensorFlow.js and Python

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Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js

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!

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. Overview What are loss functions?

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

Analytics Vidhya

Why C++ for Machine Learning? The applications of machine learning transcend boundaries and industries so why should we let tools and languages hold us.

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.

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

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!

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.

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

Deep automation in machine learning

O'Reilly on Data

In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. But this process only applies to a single machine learning platform: Spark.

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.

Risk 265

AUC-ROC Curve in Machine Learning Clearly Explained

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You’ve built your machine learning model – so what’s next? The post AUC-ROC Curve in Machine Learning Clearly Explained appeared first on Analytics Vidhya. AUC-ROC Curve – The Star Performer! You need to evaluate it and validate how. Beginner Python Technique auc roc curve confusion matrix

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

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?

Common Machine Learning Obstacles

KDnuggets

2019 Sep Opinions Cross-validation Decision Trees Logistic Regression Machine Learning MathWorks Overfitting SVMIn this blog, Seth DeLand of MathWorks discusses two of the most common obstacles relate to choosing the right classification model and eliminating data overfitting.

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.

Sustaining machine learning in the enterprise

O'Reilly on Data

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise

Cartoon: Unsupervised Machine Learning?

KDnuggets

New KDnuggets Cartoon looks at one of the hottest directions in Machine Learning and asks can Machine Learning be too unsupervised? 2019 Sep Opinions Cartoon Humor Machine Learning Unsupervised Learning

Machine learning on encrypted data

O'Reilly on Data

The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security. As I noted, the main motivation for improving data liquidity is the growing importance of machine learning.

Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

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Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines?

Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019

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Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya.