KDnuggets

DECEMBER 26, 2019

Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field. Getting ready to leap into the world of Data Science?

Machine Learning 153

Machine Learning Data Science Deep Learning Education 153

KDnuggets

AUGUST 14, 2019

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. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

Machine Learning 117

Machine Learning Coding IT Data Science 117

KDnuggets

AUGUST 8, 2019

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.

Machine Learning 123

Machine Learning Data 123

KDnuggets

SEPTEMBER 4, 2019

In the following post, I am going to give a brief guide to four of the most established packages for interpreting and explaining machine learning models.

Machine Learning 121

Machine Learning Python 121

KDnuggets

SEPTEMBER 14, 2019

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

Machine Learning 90

Machine Learning 90

KDnuggets

AUGUST 16, 2019

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.

Machine Learning 110

Machine Learning Medical Healthcare 110

KDnuggets

SEPTEMBER 10, 2019

How does the scikit-learn machine learning library for Python compare to the mlr package for R? Following along with a machine learning workflow through each approach, and see if you can gain a competitive advantage by knowing both frameworks.

Machine Learning 113

Machine Learning Python 113

KDnuggets

SEPTEMBER 5, 2019

This is an interview between Rosaria Silipo and data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz, asking a few questions on the topic of automated machine learning from their point of view, and some interesting examples of its practical use.

Machine Learning 112

Machine Learning IT Data 112

KDnuggets

NOVEMBER 28, 2019

Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

Machine Learning 150

Machine Learning Project 150

KDnuggets

OCTOBER 3, 2019

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.

Machine Learning 87

Machine Learning Engineering Deep Learning Algorithm 87

KDnuggets

SEPTEMBER 17, 2019

The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

Machine Learning 119

Machine Learning Algorithm Python 119

KDnuggets

SEPTEMBER 4, 2019

Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.

Machine Learning 114

Machine Learning Systems Algorithm Coding 114

Cloudera

MARCH 13, 2019

ING – Utilizing HDP and HDF for machine learning models to make relevant engagements with customers. Stay tuned for March 19, 2019 as the winners are unveiled at the Luminaries dinner in Barcelona. The post Introducing the 2019 Data Heroes – EMEA! appeared first on Cloudera Blog.

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Data Architect Banking Utilities Deep Learning 68

U-Next

DECEMBER 2, 2022

Machine Learning is teaching computers to learn from data without being explicitly programmed. Python is essential for Data Science And Machine Learning for various reasons that you’ll find out here. . Many programming languages are used for Data Science and Machine Learning.

Machine Learning 40

Machine Learning Data Science Python Programming Language 40

KDnuggets

JANUARY 15, 2020

This year’s NEURIPS-2019 Vancouver conference recently concluded and featured a dozen papers on disentanglement in deep learning. What is this idea and why is it so interesting in machine learning?

Deep Learning 47

Deep Learning Machine Learning IT 47

KDnuggets

AUGUST 12, 2019

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.

Machine Learning 117

Machine Learning 117

KDnuggets

OCTOBER 14, 2019

Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications.

Machine Learning 77

Machine Learning 77

KDnuggets

AUGUST 2, 2019

Speed up your Machine Learning workflow using Python RAPIDS libraries support. The future is here!

Machine Learning 110

Machine Learning Data Analytics Python Data 110

Jesse Anderson

DECEMBER 12, 2022

Google’s 2015 paper Hidden Technical Debt in Machine Learning Systems highlighted the fact that machine learning isn’t just the creation of models. I followed that post up in 2019 by showing that data scientists are not data engineers. The programming language du jour has changed over the years.

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Data Engineering Data Engineer Engineering Hadoop 130

U-Next

SEPTEMBER 13, 2022

You will also learn top Machine Learning interview questions along the way! . The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. . billion in 2019 to $230.80 Deep learning: What is it?

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

KDnuggets

DECEMBER 5, 2019

Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning. While AI may be the new electricity significant challenges remain to realize AI potential.

Software Engineer 110

Software Engineer Software Engineering Machine Learning Process 110

KDnuggets

JULY 29, 2019

Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

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Machine Learning Data Science Data 121

KDnuggets

NOVEMBER 1, 2019

As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.

Machine Learning 88

Machine Learning 88

KDnuggets

OCTOBER 17, 2019

This post aims to make you get started with putting your trained machine learning models into production using Flask API.

Machine Learning 113

Machine Learning Python 113

KDnuggets

OCTOBER 28, 2019

Learn how Bayes Theorem is in Machine Learning for classification and regression!

Machine Learning 113

Machine Learning 113

KDnuggets

NOVEMBER 29, 2019

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

Deep Learning 112

Deep Learning Java Machine Learning 112

KDnuggets

OCTOBER 10, 2019

Check out these tips for finding and securing an interview for a machine learning job. While you may be focused on your performance during your next job interview, landing that interview can be just as hard.

Machine Learning 90

Machine Learning 90

KDnuggets

SEPTEMBER 9, 2019

In this blog, Seth DeLand of MathWorks discusses two of the most common obstacles relate to choosing the right classification model and eliminating data overfitting.

Machine Learning 107

Machine Learning Data 107

KDnuggets

OCTOBER 23, 2019

In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.

Machine Learning 89

Machine Learning 89

KDnuggets

NOVEMBER 13, 2019

Check out this author's collection of tips and tricks that I learned over the years to get better at Machine Learning.

Machine Learning 82

Machine Learning 82

KDnuggets

NOVEMBER 13, 2019

The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.

Machine Learning 86

Machine Learning Python 86

KDnuggets

AUGUST 1, 2019

A machine learning model that predicts some outcome provides value. Learn how Interpretable and Explainable ML technologies can help while developing your model. One that explains why it made the prediction creates even more value for your stakeholders.

Machine Learning 90

Machine Learning Technology IT 90

KDnuggets

JULY 25, 2019

Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

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Certification Machine Learning Data Science Data 122

KDnuggets

NOVEMBER 1, 2019

This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle.

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Machine Learning Management Data 55

KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

Machine Learning 46

Machine Learning Deep Learning Healthcare IT 46

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 122

Machine Learning Medical Education Data 122

KDnuggets

SEPTEMBER 19, 2019

While mature algorithms and extensive open-source libraries are widely available for machine learning practitioners, sufficient data to apply these techniques remains a core challenge. Discover how to leverage scikit-learn and other tools to generate synthetic data appropriate for optimizing and fine-tuning your models.

Machine Learning 88

Machine Learning Datasets Algorithm Data 88