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

Analytics Vidhya

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.

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

Analytics Vidhya

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.

Top 7 Machine Learning Github Repositories for Data Scientists

Analytics Vidhya

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.

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.

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.

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

Analytics Vidhya

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

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

Analytics Vidhya

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

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

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.

Knowing Your Neighbours: Machine Learning on Graphs

KDnuggets

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data). There are also examples of cold start in supervised machine learning (where you do have class labels on the training data).

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 263

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.

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

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.

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.

Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center. Big Data Data Science alteryx Machine Learning Data Integration Data Management Alteryx Inspire

Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. 2019 Aug Opinions Uncategorized Advice Data Science Machine Learning Statistics

Machine learning: Changing the Beauty Industry

DataFloq

So, maybe, it is time for machine learning to transform beauty salons where traditional biology and pharmacy fail? Several years ago a friend of mine, who was a biologist, was talking about their weird experiments.

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. A famous example is Google’s machine translation system, which shifted from “stats focused” approaches to TensorFlow.

Recent top-selling books in AI and Machine Learning

Rocket-Powered Data Science

Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition). Artificial Intelligence Data Science Machine Learning

Applications of data science and machine learning in financial services

O'Reilly on Data

Chong has extensive experience using analytics and machine learning in financial services, and he has experience building data science teams in the U.S. Continue reading Applications of data science and machine learning in financial services

How machine learning impacts information security

O'Reilly on Data

They list important changes to the information landscape and offer suggestions on how to alleviate some of the new risks introduced by the rise of machine learning and AI. Continue reading How machine learning impacts information security

Trends in data, machine learning, and AI

O'Reilly on Data

For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Continue reading Trends in data, machine learning, and AI

Is Machine Learning The Unspoken Secret To Gaming Success?

Smart Data Collective

Machine learning is rewriting the rules of the gaming industry. I still remember playing my favorite games growing up, before machine learning was a thing or big data was a household word. Almost every gaming simulation uses machine learning in some way.

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management. Deep Learning.

6 Key Concepts in Andrew NG’s “Machine Learning Yearning”

KDnuggets

If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers. 2019 Aug Opinions Andrew Ng Machine Learning

Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet

Analytics Vidhya

The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya. Analytics Vidhya AI Artificial Intelligence artificial intelligence conference datahack summit DataHack Summit 2019 deep learning DHS 2019 machine learning machine learning conference super AI

GPU Accelerated Data Analytics & Machine Learning

KDnuggets

Speed up your Machine Learning workflow using Python RAPIDS libraries support. 2019 Aug Tutorials, Overviews Analytics GPU Machine Learning PythonThe future is here!

Machine Learning Product Management: Lessons Learned

Domino Data Lab

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.

Enabling end-to-end machine learning pipelines in real-world applications

O'Reilly on Data

The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. Continue reading Enabling end-to-end machine learning pipelines in real-world applications

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

Machine Learning Delivers Cutting-Edge POS Software For Online Stores

Smart Data Collective

Online retailers are using machine learning solutions to deliver the highest level of service to their customers. One of the best ways machine learning is helping online retailers is with new POS software applications.

DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D.

Analytics Vidhya

The post DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D. Podcast data science podcast DataHack Radio DataHack Radio Podcast machine learning machine learning podcast NLPIntroduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited to. appeared first on Analytics Vidhya.

Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. The following insightful quote by Dan Olley (EVP of Product Development and CTO at Elsevier) sums up the urgency and criticality of the situation: “If CIOs invested in machine learning three years ago, they would have wasted their money. Artificial Intelligence Big Data Data Science Machine Learning

Machine Learning Drives Skyrocketing Demand for Entry Level Python Coders

DataFloq

One of the biggest examples is with the emergence of machine learning. One study shows that the machine learning market will be worth over $19 billion by 2023. Python is one of the most popular machine learning programming languages.

Using machine learning and analytics to attract and retain employees

O'Reilly on Data

In this episode of the Data Show , I spoke with Maryam Jahanshahi , research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. Continue reading Using machine learning and analytics to attract and retain employees

Architect Machine Learning with IoT

Paul DeBeasi

Developers with no data science experience are now able to integrate Machine Learning (ML) with IoT. As the number of IoT endpoints proliferate, the need for organizations to understand how to architect machine learning with IoT will grow rapidly.

Opening Black Boxes: How to leverage Explainable Machine Learning

KDnuggets

A machine learning model that predicts some outcome provides value. Learn how Interpretable and Explainable ML technologies can help while developing your model. 2019 Aug Tutorials, Overviews Explainable AI Feature Selection LIME Machine Learning SHAP XAI

Scikit-Learn For Machine Learning Application Development In Python

Smart Data Collective

Python is arguably the best programming language for machine learning. However, many aspiring machine learning developers don’t know where to start. They should look into the scikit-learn library, which is one of the best for developing machine learning applications.