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!

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.

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

Analytics Vidhya

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models?

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.

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.

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?

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.

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.

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

Analytics Vidhya

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.

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?

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

Analytics Vidhya

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.

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

Analytics Vidhya

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.

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

Analytics Vidhya

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.

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.

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

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

Analytics Vidhya

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.

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.

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

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?

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

Analytics Vidhya

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?

20+ Machine Learning Datasets & Project Ideas

KDnuggets

Upgrading your machine learning, AI, and Data Science skills requires practice. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

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

Analytics Vidhya

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.

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!

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

A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values!

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Overview Learn how to use Shapley values in game theory for machine learning interpretability It’s a unique and different perspective to interpret black-box machine. The post A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values! Machine Learning Python Technique Game Theory machine learning interpretability python shapley value

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

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 267

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.

2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning! 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

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

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

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Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Tools – check out the new Leaders!

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Which Data Science or Machine Learning Tool is the Best? The post Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning Tools – check out the new Leaders! We are living in the age of choices. The data revolution has transformed the.

Mathematics behind Machine Learning – The Core Concepts you Need to Know

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Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya. Machine 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.

Understanding Cancer using Machine Learning

KDnuggets

Use of Machine Learning (ML) in Medicine is becoming more and more important. 2019 Aug Tutorials, Overviews Cancer Detection Healthcare Machine Learning MedicalOne application example can be Cancer Detection and Analysis.

Training a Machine Learning Engineer

KDnuggets

There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of implemented algorithms work for their problem in hand.

Resources for Women in AI, Data Science, and Machine Learning

KDnuggets

For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields. 2020 Mar Opinions AI Data Science Diversity Machine Learning Women

20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019

Analytics Vidhya

Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.

The Most Useful Machine Learning Tools of 2020

KDnuggets

2020 Mar Opinions Applications GitHub Machine Learning Postgres PyCharm ToolsThis articles outlines 5 sets of tools every lazy full-stack data scientist should use.