Search results for deep learning
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Machine learning adversarial attacks are a ticking time bomb
Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threats in the real-world are becoming imminent as the adoption of machine learning spreads, and a systematic defense must be implemented.https://www.kdnuggets.com/2021/01/machine-learning-adversarial-attacks.html
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Top 5 Reasons Why Machine Learning Projects Fail
The rise in machine learning project implementation is coming, as is the the number of failures, due to several implementation and maintenance challenges. The first step of closing this gap lies in understanding the reasons for the failure.https://www.kdnuggets.com/2021/01/top-5-reasons-why-machine-learning-projects-fail.html
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Machine learning is going real-time
Extracting immediate predictions from machine learning algorithms on the spot based on brand-new data can offer a next level of interaction and potential value to its consumers. The infrastructure and tech stack required to implement such real-time systems is also next level, and many organizations -- especially in the US -- seem to be resisting. But, what even is real-time ML, and how can it deliver a better experience?https://www.kdnuggets.com/2021/01/machine-learning-real-time.html
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Popular Machine Learning Interview Questions, part 2
Get ready for your next job interview requiring domain knowledge in machine learning with answers to these thirteen common questions.https://www.kdnuggets.com/2021/01/popular-machine-learning-interview-questions-part2.html
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Want to Be a Data Scientist? Don’t Start With Machine Learning">Want to Be a Data Scientist? Don’t Start With Machine Learning
Machine learning may appear like the go-to topic to start learning for the aspiring data scientist. But. thinking these techniques are the key aspects of the role is the biggest misconception. So much more goes into becoming a successful data scientist, and machine learning is only one component of broader skills around processing, managing, and understanding the science behind the data.https://www.kdnuggets.com/2021/01/data-scientist-dont-start-machine-learning.html
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Going Beyond the Repo: GitHub for Career Growth in AI & Machine Learning
Many online tools and platforms exist to help you establish a clear and persuasive online profile for potential employers to review. Have you considered how your go-to online code repository could also help you land your next job?https://www.kdnuggets.com/2021/01/github-career-growth-ai-machine-learning.html
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Popular Machine Learning Interview Questions">Popular Machine Learning Interview Questions
Get ready for your next job interview requiring domain knowledge in machine learning with answers to these eleven common questions.https://www.kdnuggets.com/2021/01/popular-machine-learning-interview-questions.html
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Graph Representation Learning: The Free eBook
This free eBook can show you what you need to know to leverage graph representation in data science, machine learning, and neural network models.https://www.kdnuggets.com/2021/01/graph-representation-learning-book-free-ebook.html
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Unsupervised Learning for Predictive Maintenance using Auto-Encoders
This article outlines a machine learning approach to detect and diagnose anomalies in the context of machine maintenance, along with a number of introductory concepts, including: Introduction to machine maintenance; What is predictive maintenance?; Approaches for machine diagnosis; Machine diagnosis using machine learninghttps://www.kdnuggets.com/2021/01/unsupervised-learning-predictive-maintenance-auto-encoders.html
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My Data Science Learning Journey So Far">My Data Science Learning Journey So Far
These are some obstacles the author faced in their data science learning journey in the past year, including how much time it took to overcome each obstacle and what it has taught the author.https://www.kdnuggets.com/2021/01/data-science-learning-journey.html
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10 Underappreciated Python Packages for Machine Learning Practitioners">10 Underappreciated Python Packages for Machine Learning Practitioners
Here are 10 underappreciated Python packages covering neural architecture design, calibration, UI creation and dissemination.https://www.kdnuggets.com/2021/01/10-underappreciated-python-packages-machine-learning-practitioners.html
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CatalyzeX: A must-have browser extension for machine learning engineers and researchers
CatalyzeX is a free browser extension that finds code implementations for ML/AI papers anywhere on the internet (Google, Arxiv, Twitter, Scholar, and other sites).https://www.kdnuggets.com/2021/01/catalyzex-browser-extension-machine-learning.html
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15 Free Data Science, Machine Learning & Statistics eBooks for 2021">15 Free Data Science, Machine Learning & Statistics eBooks for 2021
We present a curated list of 15 free eBooks compiled in a single location to close out the year.https://www.kdnuggets.com/2020/12/15-free-data-science-machine-learning-statistics-ebooks-2021.html
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Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance
A practical deep dive on production monitoring architectures for machine learning at scale using real-time metrics, outlier detectors, drift detectors, metrics servers and explainers.https://www.kdnuggets.com/2020/12/production-machine-learning-monitoring-outliers-drift-explainers-statistical-performance.html
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Top 2020 Stories: 24 Best (and Free) Books To Understand Machine Learning; If I had to start learning Data Science again, how would I do it?
Also: Know What Employers are Expecting for a Data Scientist Role in 2020; Top Python Libraries for Data Science, Data Visualization & Machine Learning.https://www.kdnuggets.com/2020/12/top-stories-2020.html
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Industry 2021 Predictions for AI, Analytics, Data Science, Machine Learning
We bring you industry predictions from 12 innovative companies - what key trends they expect in 2021 in AI, Analytics, Data Science, and Machine Learning?https://www.kdnuggets.com/2020/12/industry-2021-predictions-ai-data-science-machine-learning.html
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Data Science and Machine Learning: The Free eBook
Check out the newest addition to our free eBook collection, Data Science and Machine Learning: Mathematical and Statistical Methods, and start building your statistical learning foundation today.https://www.kdnuggets.com/2020/12/data-science-machine-learning-free-ebook.html
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Facebook Open Sources ReBeL, a New Reinforcement Learning Agent
The new model tries to recreate the reinforcement learning and search methods used by AlphaZero in imperfect information scenarios.https://www.kdnuggets.com/2020/12/facebook-open-sources-rebel-new-reinforcement-learning-agent.html
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A Journey from Software to Machine Learning Engineer
In this blog post, the author explains his journey from Software Engineer to Machine Learning Engineer. The focus of the blog post is on the areas that the author wished he'd have focused on during his learning journey, and what should you look for outside of books and courses when pursuing your Machine Learning career.https://www.kdnuggets.com/2020/12/journey-from-software-machine-learning-engineer.html
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Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology
Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html
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Top November Stories: Top Python Libraries for Data Science, Data Visualization & Machine Learning; The Best Data Science Certification You’ve Never Heard Of
Also: TabPy: Combining Python and Tableau; How to Acquire the Most Wanted Data Science Skills.https://www.kdnuggets.com/2020/12/top-stories-2020-nov.html
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Pruning Machine Learning Models in TensorFlow
Read this overview to learn how to make your models smaller via pruning.https://www.kdnuggets.com/2020/12/pruning-machine-learning-models-tensorflow.html
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Simple & Intuitive Ensemble Learning in R
Read about metaEnsembleR, an R package for heterogeneous ensemble meta-learning (classification and regression) that is fully-automated.https://www.kdnuggets.com/2020/12/simple-intuitive-meta-learning-r.html
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Roadmaps to becoming a Full-Stack AI Developer, Data Scientist, Machine Learning Engineer, and more
As the fields related to AI and Data Science expand, they are becoming complex with more options and specializations to consider. If you are beginning your journey toward becoming an expert in Artificial Intelligence, this roadmap will guide you to find your path along what to learn next while steering clear of the latest hype.https://www.kdnuggets.com/2020/12/roadmaps-ai-developer-data-scientist-machine-learning-engineer.html
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How to Know if a Neural Network is Right for Your Machine Learning Initiative
It is important to remember that there must be a business reason for even considering neural nets and it should not be because the C-Suite is feeling a bad case of FOMO.https://www.kdnuggets.com/2020/11/neural-network-right-machine-learning-initiative.html
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Know-How to Learn Machine Learning Algorithms Effectively
The takeaway from the story is that machine learning is way beyond a simple fit and predict methods. The author shares their approach to actually learning these algorithms beyond the surface.https://www.kdnuggets.com/2020/11/learn-machine-learning-algorithms-effectively.html
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5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use
If you consider yourself a Data Scientist who can take any project from data curation to solution deployment, then you know there are many tools available today to help you get the job done. The trouble is that there are too many choices. Here is a review of five sets of tools that should turn you into the most efficient full-stack data scientist possible.https://www.kdnuggets.com/2020/11/5-useful-machine-learning-tools.html
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My Data Science Online Learning Journey on Coursera
Check out the author's informative list of courses and specializations on Coursera taken to get started on their data science and machine learning journey.https://www.kdnuggets.com/2020/11/data-science-online-learning-journey-coursera.html
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Doing the impossible? Machine learning with less than one example
Machine learning algorithms are notoriously known for needing data, a lot of data -- the more data the better. But, much research has gone into developing new methods that need fewer examples to train a model, such as "few-shot" or "one-shot" learning that require only a handful or a few as one example for effective learning. Now, this lower boundary on training examples is being taken to the next extreme.https://www.kdnuggets.com/2020/11/machine-learning-less-than-one-example.html
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Interpretability, Explainability, and Machine Learning – What Data Scientists Need to Know
The terms “interpretability,” “explainability” and “black box” are tossed about a lot in the context of machine learning, but what do they really mean, and why do they matter?https://www.kdnuggets.com/2020/11/interpretability-explainability-machine-learning.html
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KDnuggets™ News 20:n42, Nov 4: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis
Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more.https://www.kdnuggets.com/2020/n42.html
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Data scientist or machine learning engineer? Which is a better career option?
In order to build automated data processing systems, we require professionals like Machine Learning Engineers and Data Scientists. But which of these is a better career option right now? Read on to find out.https://www.kdnuggets.com/2020/11/greatlearning-data-scientist-machine-learning-engineer.html
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How to Make Sense of the Reinforcement Learning Agents?
In this blog post, you’ll learn what to keep track of to inspect/debug your agent learning trajectory. I’ll assume you are already familiar with the Reinforcement Learning (RL) agent-environment setting and you’ve heard about at least some of the most common RL algorithms and environments.https://www.kdnuggets.com/2020/10/make-sense-reinforcement-learning-agents.html
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Dealing with Imbalanced Data in Machine Learning
This article presents tools & techniques for handling data when it's imbalanced.https://www.kdnuggets.com/2020/10/imbalanced-data-machine-learning.html
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Top Stories, Oct 19-25: How to Explain Key Machine Learning Algorithms at an Interview; Roadmap to Natural Language Processing
Also: Roadmap to Natural Language Processing (NLP); 5 Must-Read Data Science Papers (and How to Use Them); DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models; Good-bye Big Data. Hello, Massive Data!https://www.kdnuggets.com/2020/10/top-news-week-1019-1025.html
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Behavior Analysis with Machine Learning and R: The free eBook
Check out this new free ebook to learn how to leverage the power of machine learning to analyze behavioral patterns from sensor data and electronic records using R.https://www.kdnuggets.com/2020/10/behavior-analysis-machine-learning-r-free-ebook.html
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Machine Learning’s Greatest Omission: Business Leadership
Eric Siegel's business-oriented, vendor-neutral machine learning course is designed to fulfill vital unmet learner needs, delivering material critical for both techies and business leaders.https://www.kdnuggets.com/2020/10/machine-learning-omission-business-leadership.html
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Top September Stories: Free From MIT: Intro to Computer Science and Programming in Python; Best Online MS in AI, Analytics, Data Science, Machine Learning
Also: Introduction to Time Series Analysis in Python; Automating Every Aspect of Your Python Projecthttps://www.kdnuggets.com/2020/10/top-stories-2020-sep.html
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Uber Open Sources the Third Release of Ludwig, its Code-Free Machine Learning Platform
The new release makes Ludwig one of the most complete open source AutoML stacks in the market.https://www.kdnuggets.com/2020/10/uber-open-source-ludwig-code-free-machine-learning-platform.html
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Annotated Machine Learning Research Papers">Annotated Machine Learning Research Papers
Check out this collection of annotated machine learning research papers, and no longer fear their reading.https://www.kdnuggets.com/2020/10/annotated-machine-learning-research-papers.html
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Free Introductory Machine Learning Course From Amazon">Free Introductory Machine Learning Course From Amazon
Amazon's Machine Learning University offers an introductory course titled Accelerated Machine Learning, which is a good starting place for those looking for a foundation in generalized practical ML.https://www.kdnuggets.com/2020/10/machine-learning-free-course-amazon.html
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5 Challenges to Scaling Machine Learning Models
ML models are hard to be translated into active business gains. In order to understand the common pitfalls in productionizing ML models, let’s dive into the top 5 challenges that organizations face.https://www.kdnuggets.com/2020/10/5-challenges-scaling-machine-learning-models.html
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10 Best Machine Learning Courses in 2020">10 Best Machine Learning Courses in 2020
If you are ready to take your career in machine learning to the next level, then these top 10 Machine Learning Courses covering both practical and theoretical work will help you excel.https://www.kdnuggets.com/2020/10/10-best-machine-learning-courses-2020.html
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International alternatives to Kaggle for Data Science / Machine Learning competitions
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win.https://www.kdnuggets.com/2020/09/international-alternatives-kaggle-data-science-competitions.html
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Top Stories, Sep 21-27: Introduction to Time Series Analysis in Python; Machine Learning from Scratch: Free Online Textbook
Also: How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy; I'm a Data Scientist, Not Just The Tiny Hands that Crunch your Data; New Poll: What Python IDE / Editor you used the most in 2020?; The Most Complete Guide to PyTorch for Data Scientistshttps://www.kdnuggets.com/2020/09/top-news-week-0921-0927.html
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LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at Scale
The reference architecture is powering mission critical machine learning workflows within LinkedIn.https://www.kdnuggets.com/2020/09/linkedin-pro-ml-architecture-best-practices-building-machine-learning-scale.html
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Machine Learning from Scratch: Free Online Textbook">Machine Learning from Scratch: Free Online Textbook
If you are looking for a machine learning starter that gets right to the core of the concepts and the implementation, then this new free textbook will help you dive in to ML engineering with ease. By focusing on the basics of the underlying algorithms, you will be quickly up and running with code you construct yourself.https://www.kdnuggets.com/2020/09/machine-learning-from-scratch-free-online-textbook.html
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The Insiders’ Guide to Generative and Discriminative Machine Learning Models
In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another.https://www.kdnuggets.com/2020/09/insiders-guide-generative-discriminative-machine-learning-models.html
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Can Neural Networks Show Imagination? DeepMind Thinks They Can
DeepMind has done some of the relevant work in the area of simulating imagination in deep learning systems.https://www.kdnuggets.com/2020/09/deepmind-neural-networks-show-imagination.html
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Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities
We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html
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Autograd: The Best Machine Learning Library You’re Not Using?">Autograd: The Best Machine Learning Library You’re Not Using?
If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.https://www.kdnuggets.com/2020/09/autograd-best-machine-learning-library-not-using.html
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Top August Stories: Know What Employers are Expecting for a Data Scientist Role in 2020; If I had to start learning Data Science again, how would I do it?
Also: Netflix's Polynote is a New Open Source Framework to Build Better Data Science Notebooks; Must-read NLP and Deep Learning articles for Data Scientists.https://www.kdnuggets.com/2020/09/top-stories-2020-aug.html
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8 AI/Machine Learning Projects To Make Your Portfolio Stand Out">8 AI/Machine Learning Projects To Make Your Portfolio Stand Out
If you are just starting down a path toward a career in Data Science, or you are already a seasoned practitioner, then keeping active to advance your experience through side projects is invaluable to take you to the next professional level. These eight interesting project ideas with source code and reference articles will jump start you to thinking outside of the box.https://www.kdnuggets.com/2020/09/8-ml-ai-projects-stand-out.html
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How to Evaluate the Performance of Your Machine Learning Model">How to Evaluate the Performance of Your Machine Learning Model
You can train your supervised machine learning models all day long, but unless you evaluate its performance, you can never know if your model is useful. This detailed discussion reviews the various performance metrics you must consider, and offers intuitive explanations for what they mean and how they work.https://www.kdnuggets.com/2020/09/performance-machine-learning-model.html
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Breaking Privacy in Federated Learning
Despite the benefits of federated learning, there are still ways of breaching a user’s privacy, even without sharing private data. In this article, we’ll review some research papers that discuss how federated learning includes this vulnerability.https://www.kdnuggets.com/2020/08/breaking-privacy-federated-learning.html
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A Deep Dive Into the Transformer Architecture – The Development of Transformer Models
Even though transformers for NLP were introduced only a few years ago, they have delivered major impacts to a variety of fields from reinforcement learning to chemistry. Now is the time to better understand the inner workings of transformer architectures to give you the intuition you need to effectively work with these powerful tools.https://www.kdnuggets.com/2020/08/transformer-architecture-development-transformer-models.html
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Introduction to Federated Learning">Introduction to Federated Learning
Federated learning means enabling on-device training, model personalization, and more. Read more about it in this article.https://www.kdnuggets.com/2020/08/introduction-federated-learning.html
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Top Google AI, Machine Learning Tools for Everyone">Top Google AI, Machine Learning Tools for Everyone
Google is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.https://www.kdnuggets.com/2020/08/top-google-ai-machine-learning-tools.html
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Batch Normalization in Deep Neural Networks
Batch normalization is a technique for training very deep neural networks that normalizes the contributions to a layer for every mini batch.https://www.kdnuggets.com/2020/08/batch-normalization-deep-neural-networks.html
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Awesome Machine Learning and AI Courses">Awesome Machine Learning and AI Courses
Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures.https://www.kdnuggets.com/2020/07/awesome-machine-learning-ai-courses.html
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A Tour of End-to-End Machine Learning Platforms
An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!https://www.kdnuggets.com/2020/07/tour-end-to-end-machine-learning-platforms.html
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What I learned from looking at 200 machine learning tools
While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software.https://www.kdnuggets.com/2020/07/200-machine-learning-tools.html
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Data Mining and Machine Learning: Fundamental Concepts and Algorithms: The Free eBook
The second edition of Data Mining and Machine Learning: Fundamental Concepts and Algorithms is available to read freely online, and includes a new part on regression with chapters on linear regression, logistic regression, neural networks, deep learning and regression assessment.https://www.kdnuggets.com/2020/07/data-mining-machine-learning-free-ebook.html
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Wrapping Machine Learning Techniques Within AI-JACK Library in R">Wrapping Machine Learning Techniques Within AI-JACK Library in R
The article shows an approach to solving problem of selecting best technique in machine learning. This can be done in R using just one library called AI-JACK and the article shows how to use this tool.https://www.kdnuggets.com/2020/07/wrapping-machine-learning-techniques-ai-jack-library-r.html
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The Bitter Lesson of Machine Learning">The Bitter Lesson of Machine Learning
Since that renowned conference at Dartmouth College in 1956, AI research has experienced many crests and troughs of progress through the years. From the many lessons learned during this time, some have needed to be re-learned -- repeatedly -- and the most important of which has also been the most difficult to accept by many researchers.https://www.kdnuggets.com/2020/07/bitter-lesson-machine-learning.html
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Some Things Uber Learned from Running Machine Learning at Scale
Uber machine learning runtime Michelangelo has been in operation for a few years. What has the Uber team learned?https://www.kdnuggets.com/2020/07/some-things-uber-learned-machine-learning-scale.html
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5th International Summer School 2020 on Resource-aware Machine Learning (REAML)
The Resource-aware Machine Learning summer school provides lectures on the latest research in machine learning, with the twist on resource consumption and how these can be reduced. This year it will be held online between 31st of August and 4th of September, and is free of charge. Register now.https://www.kdnuggets.com/2020/07/tu-dortmund-summer-school-2020-reaml.html
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The Unreasonable Progress of Deep Neural Networks in Natural Language Processing (NLP)
Natural language processing has made incredible advances through advanced techniques in deep learning. Learn about these powerful models, and find how close (or far away) these approaches are to human-level understanding.https://www.kdnuggets.com/2020/06/unreasonable-progress-deep-neural-networks-nlp.html
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An Introduction to Statistical Learning: The Free eBook
This week's free eBook is a classic of data science, An Introduction to Statistical Learning, with Applications in R. If interested in picking up elementary statistical learning concepts, and learning how to implement them in R, this book is for you.https://www.kdnuggets.com/2020/06/introduction-statistical-learning-free-ebook.html
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Machine Learning Engineer vs Data Scientist (Is Data Science Over?)
What has been happening to the definition of Data Scientist over the past 5 years? Does it still exist or has it morphed into a new version of its old self? Learn more about the recent trends in job descriptions and salaries for data scientists, ML engineers, and others to best understand the best fit for your career trajectory and interests.https://www.kdnuggets.com/2020/06/machine-learning-engineer-vs-data-scientist.html
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Tools to Spot Deepfakes and AI-Generated Text
The technologies that generate deepfake content is at the forefront of manipulating humans. While the research developing these algorithms is fascinating and will lead to powerful tools that enhance the way people create and work, in the wrong hands, these same tools drive misinformation at a scale we can't yet imagine. Stopping these bad actors using awesome tools is in your hands.https://www.kdnuggets.com/2020/06/dont-click-this-how-spot-deepfakes.html
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Graph Machine Learning in Genomic Prediction
This work explores how genetic relationships can be exploited alongside genomic information to predict genetic traits with the aid of graph machine learning algorithms.https://www.kdnuggets.com/2020/06/graph-machine-learning-genomic-prediction.html
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Crop Disease Detection Using Machine Learning and Computer Vision
Computer vision has tremendous promise for improving crop monitoring at scale. We present our learnings from building such models for detecting stem and wheat rust in crops.https://www.kdnuggets.com/2020/06/crop-disease-detection-computer-vision.html
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Best Machine Learning Youtube Videos Under 10 Minutes
The Youtube videos on this list cover concepts such as what machine learning is, the basics of natural language processing, how computer vision works, and machine learning in video games.https://www.kdnuggets.com/2020/06/best-machine-learning-youtube-videos-under-10-minutes.html
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Uber’s Ludwig is an Open Source Framework for Low-Code Machine Learning">Uber’s Ludwig is an Open Source Framework for Low-Code Machine Learning
The new framework allow developers with minimum experience to create and train machine learning models.https://www.kdnuggets.com/2020/06/uber-ludwig-open-source-framework-machine-learning.html
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Understanding Machine Learning: The Free eBook">Understanding Machine Learning: The Free eBook
Time to get back to basics. This week we have a look at a book on foundational machine learning concepts, Understanding Machine Learning: From Theory to Algorithms.https://www.kdnuggets.com/2020/06/understanding-machine-learning-free-ebook.html
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Deploy a Machine Learning Pipeline to the Cloud Using a Docker Container
In this tutorial, we will use a previously-built machine learning pipeline and Flask app to demonstrate how to deploy a machine learning pipeline as a web app using the Microsoft Azure Web App Service.https://www.kdnuggets.com/2020/06/deploy-machine-learning-pipeline-cloud-docker.html
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Upgrading the Brand Mobile App with Machine Learning
The tech progress in mobile app development, as well as digital enhancements, have created new chances for brands to allure and retain customers. In bridging the individualization gap, Machine Learning comes to the rescue.https://www.kdnuggets.com/2020/06/upgrading-brand-mobile-app-machine-learning.html
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How to make AI/Machine Learning models resilient during COVID-19 crisis
COVID-19-driven concept shift has created concern over the usage of AI/ML to continue to drive business value following cases of inaccurate outputs and misleading results from a variety of fields. Data Science teams must invest effort in post-model tracking and management as well as deploy an agility in the AI/ML process to curb problems related to concept shift.https://www.kdnuggets.com/2020/06/ai-ml-models-resilient-covid-19-crisis.html
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Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June
Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.https://www.kdnuggets.com/2020/06/upcoming-webinars-online-events-june.html
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Machine Learning Experiment Tracking
Why is experiment tracking so important for doing real world machine learning?https://www.kdnuggets.com/2020/06/machine-learning-experiment-tracking.html
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5 Machine Learning Papers on Face Recognition
This article will highlight some of that research and introduce five machine learning papers on face recognition.https://www.kdnuggets.com/2020/05/5-machine-learning-papers-face-recognition.html
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Deepmind’s Gaming Streak: The Rise of AI Dominance
There is still a long way to go before machine agents match overall human gaming prowess, but Deepmind’s gaming research focus has shown a clear progression of substantial progress.https://www.kdnuggets.com/2020/05/deepmind-gaming-ai-dominance.html
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Interactive Machine Learning Experiments
Dive into experimenting with machine learning techniques using this open-source collection of interactive demos built on multilayer perceptrons, convolutional neural networks, and recurrent neural networks. Each package consists of ready-to-try web browser interfaces and fully-developed notebooks for you to fine tune the training for better performance.https://www.kdnuggets.com/2020/05/interactive-machine-learning-experiments.html
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Build and deploy your first machine learning web app">Build and deploy your first machine learning web app
A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret.https://www.kdnuggets.com/2020/05/build-deploy-machine-learning-web-app.html
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What they do not tell you about machine learning
There's a lot of excitement out there about machine learning jobs. So, it's always good to start off with a healthy dose of reality and proper expectations.https://www.kdnuggets.com/2020/05/not-tell-machine-learning.html
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Automated Machine Learning: The Free eBook">Automated Machine Learning: The Free eBook
There is a lot to learn about automated machine learning theory and practice. This free eBook can get you started the right way.https://www.kdnuggets.com/2020/05/automated-machine-learning-free-ebook.html
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AI and Machine Learning for Healthcare">AI and Machine Learning for Healthcare
Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.https://www.kdnuggets.com/2020/05/ai-machine-learning-healthcare.html
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I Designed My Own Machine Learning and AI Degree
With so many pioneering online resources for open education, check out this organized collection of courses you can follow to become a well-rounded machine learning and AI engineer.https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html
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The Elements of Statistical Learning: The Free eBook
Check out this free ebook covering the elements of statistical learning, appropriately titled "The Elements of Statistical Learning."https://www.kdnuggets.com/2020/05/elements-statistical-learning-free-ebook.html
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Start Your Machine Learning Career in Quarantine">Start Your Machine Learning Career in Quarantine
While this quarantine can last two months, make the most of it by starting your career in Machine Learning with this 60-day learning plan.https://www.kdnuggets.com/2020/05/machine-learning-career-quarantine.html
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The Architecture Used at LinkedIn to Improve Feature Management in Machine Learning Models
The new typed feature schema streamlined the reusability of features across thousands of machine learning models.https://www.kdnuggets.com/2020/05/architecture-linkedin-feature-management-machine-learning-models.html
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Will Machine Learning Engineers Exist in 10 Years?
As can be common in many technical fields, the landscape of specialized roles is evolving quickly. With more people learning at least a little machine learning, this could eventually become a common skill set for every software engineer.https://www.kdnuggets.com/2020/05/machine-learning-engineers-not-exist-10-years.html
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Hyperparameter Optimization for Machine Learning Models
Check out this comprehensive guide to model optimization techniques.https://www.kdnuggets.com/2020/05/hyperparameter-optimization-machine-learning-models.html
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Beginners Learning Path for Machine Learning">Beginners Learning Path for Machine Learning
So, you are interested in machine learning? Here is your complete learning path to start your career in the field.https://www.kdnuggets.com/2020/05/beginners-learning-path-machine-learning.html
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Microsoft Research Unveils Three Efforts to Advance Deep Generative Models
Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.https://www.kdnuggets.com/2020/05/microsoft-research-three-efforts-advance-deep-generative-models.html
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Optimize Response Time of your Machine Learning API In Production
This article demonstrates how building a smarter API serving Deep Learning models minimizes the response time.https://www.kdnuggets.com/2020/05/optimize-response-time-machine-learning-api-production.html
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10 Best Machine Learning Textbooks that All Data Scientists Should Read
Check out these 10 books that can help data scientists and aspiring data scientists learn machine learning today.https://www.kdnuggets.com/2020/04/10-best-machine-learning-textbooks-data-scientists.html
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Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition">Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition
If you find yourself quarantined and looking for free learning materials in the way of books and courses to sharpen your data science and machine learning skills, this collection of articles I have previously written curating such things is for you.https://www.kdnuggets.com/2020/04/machine-learning-data-science-books-courses-quarantine.html
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OpenAI Open Sources Microscope and the Lucid Library to Visualize Neurons in Deep Neural Networks
The new tools shows the potential of data visualizations for understanding features in a neural network.https://www.kdnuggets.com/2020/04/openai-open-sources-microscope-lucid-library-neural-networks.html
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State of the Machine Learning and AI Industry
Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.https://www.kdnuggets.com/2020/04/machine-learning-ai-industry.html
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Federated Learning: An Introduction
Improving machine learning models and making them more secure by training on decentralized data.https://www.kdnuggets.com/2020/04/federated-learning-introduction.html
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Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?
While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html
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DeepMind Unveils Agent57, the First AI Agents that Outperforms Human Benchmarks in 57 Atari Games
The new reinforcement learning agent innovates over previous architectures achieving one of the most important milestones in the AI space.https://www.kdnuggets.com/2020/04/deepmind-agent57-atari-games.html
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Upcoming Webinars and online events in AI, Data Science, Machine Learning
Use the time at home productively and learn something new! We bring you a selection of upcoming interesting webinars and online events on AI, Data Science, Machine Learning, and related topics.https://www.kdnuggets.com/2020/04/upcoming-webinars-online-events.html
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10 Must-read Machine Learning Articles (March 2020)">10 Must-read Machine Learning Articles (March 2020)
This list will feature some of the recent work and discoveries happening in machine learning, as well as guides and resources for both beginner and intermediate data scientists.https://www.kdnuggets.com/2020/04/10-must-read-machine-learning-articles-march-2020.html
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2 Things You Need to Know about Reinforcement Learning – Computational Efficiency and Sample Efficiency
Experimenting with different strategies for a reinforcement learning model is crucial to discovering the best approach for your application. However, where you land can have significant impact on your system's energy consumption that could cause you to think again about the efficiency of your computations.https://www.kdnuggets.com/2020/04/2-things-reinforcement-learning.html
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Microsoft Research Uses Transfer Learning to Train Real-World Autonomous Drones
The new research uses policies learned in simulations in real world drone environments.https://www.kdnuggets.com/2020/03/microsoft-research-transfer-learning-train-real-world-autonomous-drones.html
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Making sense of ensemble learning techniques
This article breaks down ensemble learning and how it can be used for problem solving.https://www.kdnuggets.com/2020/03/making-sense-ensemble-learning-techniques.html
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Diffusion Map for Manifold Learning, Theory and Implementation
This article aims to introduce one of the manifold learning techniques called Diffusion Map. This technique enables us to understand the underlying geometric structure of high dimensional data as well as to reduce the dimensions, if required, by neatly capturing the non-linear relationships between the original dimensions.https://www.kdnuggets.com/2020/03/diffusion-map-manifold-learning-theory-implementation.html
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Top AI Resources – Directory for Remote Learning
Whether you are just learning Data Science, a current professional, or just interested, it's crucial to keep the mind stimulated and stay current. With conferences, schools, and travel largely canceled because of #coronavirus, these remote resources will help you stay engaged.https://www.kdnuggets.com/2020/03/top-ai-resources-remote-learning.html
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Exploring TensorFlow Quantum, Google’s New Framework for Creating Quantum Machine Learning Models
TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.https://www.kdnuggets.com/2020/03/tensorflow-quantum-framework-quantum-machine-learning-models.html
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Building a Mature Machine Learning Team
After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.https://www.kdnuggets.com/2020/03/mature-machine-learning-team.html
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The Most Useful Machine Learning Tools of 2020
This articles outlines 5 sets of tools every lazy full-stack data scientist should use.https://www.kdnuggets.com/2020/03/most-useful-machine-learning-tools-2020.html
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Decision Boundary for a Series of Machine Learning Models
I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.https://www.kdnuggets.com/2020/03/decision-boundary-series-machine-learning-models.html
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Few-Shot Image Classification with Meta-Learning
Here is how you can teach your model to learn quickly from a few examples.https://www.kdnuggets.com/2020/03/few-shot-image-classification-meta-learning.html
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Top KDnuggets tweets, Mar 04-10: 10 Free Must-Read Books for Machine Learning and Data Science
Also: The three phases of #COVID19 – and how we can make it manageable; 50 Must-Read Free Books For Every Data Scientist in 2020; Binary classification is a core machine learning technique, but is there a better way to evaluate its performance than ROC-AUC?https://www.kdnuggets.com/2020/03/top-tweets-mar04-10.html
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Software Interfaces for Machine Learning Deployment
While building a machine learning model might be the fun part, it won't do much for anyone else unless it can be deployed into a production environment. How to implement machine learning deployments is a special challenge with differences from traditional software engineering, and this post examines a fundamental first step -- how to create software interfaces so you can develop deployments that are automated and repeatable.https://www.kdnuggets.com/2020/03/software-interfaces-machine-learning-deployment.html
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21 Machine Learning Projects – Datasets Included
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. 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.https://www.kdnuggets.com/2020/03/20-machine-learning-datasets-project-ideas.html
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A Crash Course in Game Theory for Machine Learning: Classic and New Ideas
Game theory is experiencing a renaissance driven by the evolution of AI. What are some classic and new ideas that data scientists should be aware of.https://www.kdnuggets.com/2020/03/crash-course-game-theory-machine-learning.html
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Phishytics – Machine Learning for Detecting Phishing Websites
Since phishing is such a widespread problem in the cybersecurity domain, let us take a look at the application of machine learning for phishing website detection.https://www.kdnuggets.com/2020/03/phishytics-machine-learning-detecting-phishing-websites.html
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The Augmented Scientist Part 1: Practical Application Machine Learning in Classification of SEM Images
Our goal here is to see if we can build a classifier that can identify patterns in Scanning Electron Microscope (SEM) images, and compare the performance of our classifier to the current state-of-the-art.https://www.kdnuggets.com/2020/03/the-augmented-scientist-practical-application-machine-learning-classification-images.html
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20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)
We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.https://www.kdnuggets.com/2020/03/ai-data-science-machine-learning-key-terms-part2.html
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Uber Unveils a New Service for Backtesting Machine Learning Models at Scale
The transportation giant built a new service and architecture for backtesting forecasting models.https://www.kdnuggets.com/2020/03/uber-unveils-service-backtesting-machine-learning-models-scale.html
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Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms">Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms
The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.https://www.kdnuggets.com/2020/02/gartner-mq-2020-data-science-machine-learning.html
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Microsoft Open Sources ZeRO and DeepSpeed: The Technologies Behind the Biggest Language Model in History
The two efforts enable the training of deep learning models at massive scale.https://www.kdnuggets.com/2020/02/microsoft-open-sources-zero-deepspeed-language-model.html
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Prepare for a Long Battle against Deepfakes
While deepfakes threaten to destroy our perception of reality, the tech giants are throwing down the gauntlet and working to enhance the state of the art in combating doctored videos and images.https://www.kdnuggets.com/2020/02/long-battle-against-deepfakes.html
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20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)
2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.https://www.kdnuggets.com/2020/02/ai-data-science-machine-learning-key-terms-2020.html
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Inside The Machine Learning that Google Used to Build Meena: A Chatbot that Can Chat About Anything
Meena is one of the major milestones in the history of NLU. How did Google build it?https://www.kdnuggets.com/2020/02/inside-machine-learning-google-build-meena-chatbot.html
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Deep Neural Networks
We examine the features and applications of a deep neural network.https://www.kdnuggets.com/2020/02/deep-neural-networks.html