Search results for deep learning

Found 2813 documents, 5930 searched:

• New Deep Learning Book Finished, Finalized Online Version Available

  What will likely become known as the seminal book on deep learning is finally finished, with the online version finalized and freely-accessible to all those interested in mastering deep neural networks.

  https://www.kdnuggets.com/2016/04/deep-learning-book-finished.html

• Deep Learning for Internet of Things Using H2O

  H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.

  https://www.kdnuggets.com/2016/04/deep-learning-iot-h2o.html

• Must Know Tips for Deep Learning Neural Networks

  Deep learning is white hot research topic. Add some solid deep learning neural network tips and tricks from a PhD researcher.

  https://www.kdnuggets.com/2016/03/must-know-tips-deep-learning-part-1.html

• Opening Up Deep Learning For Everyone

  Opening deep learning up to everyone is a noble goal. But is it achievable? Should non-programmers and even non-technical people be able to implement deep neural models?

  https://www.kdnuggets.com/2016/02/opening-deep-learning-everyone.html

• The ICLR Experiment: Deep Learning Pioneers Take on Scientific Publishing

  Deep learning pioneers Yann LeCun and Yoshua Bengio have undertaken a grand experiment in academic publishing. Embracing a radical level of transparency and unprecedented public participation, they've created an opportunity not only to find and vet the best papers, but also to gather data about the publication process itself.

  https://www.kdnuggets.com/2016/02/iclr-deep-learning-scientific-publishing-experiment.html

• Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn">Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn

  Scikit Learn is a new easy-to-use interface for TensorFlow from Google based on the Scikit-learn fit/predict model. Does it succeed in making deep learning more accessible?

  https://www.kdnuggets.com/2016/02/scikit-flow-easy-deep-learning-tensorflow-scikit-learn.html

• Cartoon: Deeper Deep Learning

  New KDnuggets Cartoon looks at a creative new way of achieving even better results and breaking through Machine Learning barriers with even "deeper" Deep Learning approach.

  https://www.kdnuggets.com/2016/02/cartoon-deeper-deep-learning.html

• Is Deep Learning Overhyped?

  With all of the success that deep learning is experiencing, the detractors and cheerleaders can be seen coming out of the woodwork. What is the real validity of deep learning, and is it simply hype?

  https://www.kdnuggets.com/2016/01/deep-learning-overhyped.html

• Deep Learning with Spark and TensorFlow

  The integration of TensorFlow with Spark leverages the distributed framework for hyperparameter tuning and model deployment at scale. Both time savings and improved error rates are demonstrated.

  https://www.kdnuggets.com/2016/01/deep-learning-spark-tensorflow.html

• Google Launches Deep Learning with TensorFlow MOOC

  Google and Udacity have partnered for a new self-paced course on deep learning and TensorFlow, starting immediately.

  https://www.kdnuggets.com/2016/01/google-deep-learning-tensorflow-course.html

• Top 10 Deep Learning Projects on Github

  The top 10 deep learning projects on Github include a number of libraries, frameworks, and education resources. Have a look at the tools others are using, and the resources they are learning from.

  https://www.kdnuggets.com/2016/01/top-10-deep-learning-github.html

• Attention and Memory in Deep Learning and NLP

  An overview of attention mechanisms and memory in deep neural networks and why they work, including some specific applications in natural language processing and beyond.

  https://www.kdnuggets.com/2016/01/attention-memory-deep-learning-nlp.html

• 7 Steps to Understanding Deep Learning

  There are many deep learning resources freely available online, but it can be confusing knowing where to begin. Go from vague understanding of deep neural networks to knowledgeable practitioner in 7 steps!

  https://www.kdnuggets.com/2016/01/seven-steps-deep-learning.html

• DeepLearningKit – Open Source Deep Learning Framework for Apple iOS, OS X

  We are introducing you to the new deep learning framework “DeepLearningKit”, for the Apple based OS which is developed in Metal and Swift.

  https://www.kdnuggets.com/2015/12/deeplearningkit-open-source-framework-apple-ios-osx.html

• 50 Deep Learning Software Tools and Platforms, Updated

  We present the popular software & toolkit resources for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch. Explore the new list!

  https://www.kdnuggets.com/2015/12/deep-learning-tools.html

• Deep Learning Transcends the Bag of Words

  Generative RNNs are now widely popular, many modeling text at the character level and typically using unsupervised approach. Here we show how to generate contextually relevant sentences and explain recent work that does it successfully.

  https://www.kdnuggets.com/2015/12/deep-learning-outgrows-bag-words-recurrent-neural-networks.html

• Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet

  Training deep neural nets can take precious time and resources. By leveraging an existing distributed batch processing framework, SparkNet can train neural nets quickly and efficiently.

  https://www.kdnuggets.com/2015/12/spark-deep-learning-training-with-sparknet.html

• Top KDnuggets tweets, Nov 16-22: Dilbert discovers the perfect chart; TensorFlow Disappoints – Google Deep Learning falls shallow

  A standard #graph for any occasion! #Dilbert discovers the perfect chart; TensorFlow Disappoints - Google #DeepLearning falls shallow; All the #BigData tools and how to use them; KDnuggets #DataScience #Cartoon Caption Contest.

  https://www.kdnuggets.com/2015/11/top-tweets-nov16-22.html

• Deep Learning for Visual Question Answering

  Here we discuss about the Visual Question Answering problem, and I’ll also present neural network based approaches for same.

  https://www.kdnuggets.com/2015/11/deep-learning-visual-question-answering.html

• A Statistical View of Deep Learning

  A statistical overview of deep learning, with a focus on testing wide-held beliefs, highlighting statistical connections, and the unseen implications of deep learning. The post links to 6 articles covering a number of related topics.

  https://www.kdnuggets.com/2015/11/statistical-view-deep-learning.html

• Why Deep Learning Works – Key Insights and Saddle Points

  A quality discussion on the theoretical motivations for deep learning, including distributed representation, deep architecture, and the easily escapable saddle point.

  https://www.kdnuggets.com/2015/11/theoretical-deep-learning.html

• 6 crazy things Deep Learning and Topological Data Analysis can do with your data

  Want to analyze a high dimensional dataset and you are running out of options? Find out how Deep Learning combined with Topological Data Analysis can do exactly that and more.

  https://www.kdnuggets.com/2015/11/crazy-deep-learning-topological-data-analysis.html

• Does Deep Learning Come from the Devil?

  Deep learning has revolutionized computer vision and natural language processing. Yet the mathematics explaining its success remains elusive. At the Yandex conference on machine learning prospects and applications, Vladimir Vapnik offered a critical perspective.

  https://www.kdnuggets.com/2015/10/deep-learning-vapnik-einstein-devil-yandex-conference.html

• Recycling Deep Learning Models with Transfer Learning

  Deep learning exploits gigantic datasets to produce powerful models. But what can we do when our datasets are comparatively small? Transfer learning by fine-tuning deep nets offers a way to leverage existing datasets to perform well on new tasks.

  https://www.kdnuggets.com/2015/08/recycling-deep-learning-representations-transfer-ml.html

• Deep Learning Adversarial Examples – Clarifying Misconceptions

  Google scientist clarifies misconceptions and myths around Deep Learning Adversarial Examples, including: they do not occur in practice, Deep Learning is more vulnerable to them, they can be easily solved, and human brains make similar mistakes.

  https://www.kdnuggets.com/2015/07/deep-learning-adversarial-examples-misconceptions.html

• Can Deep Learning Help you Find the Perfect Girl? – Part 2

  Using Deep Learning to find the perfect match, PhD student Harm de Vries describes the process of data collection and analysis. Finally, the results from matching algorithm are compared to human assessment for identifying an individual's dating preferences.

  https://www.kdnuggets.com/2015/07/can-deep-learning-help-find-perfect-girl-2.html

• Can deep learning help find the perfect date?

  When a Machine Learning PhD student at University of Montreal starts using Tinder, he soon realises that something is missing in the dating app - the ability to predict to which girls he is attracted. Harm de Vries applies Deep Learning to assist in the pursuit of the perfect match.

  https://www.kdnuggets.com/2015/07/can-deep-learning-help-find-perfect-girl.html

• Deep Learning and the Triumph of Empiricism

  Theoretical guarantees are clearly desirable. And yet many of today's best-performing supervised learning algorithms offer none. What explains the gap between theoretical soundness and empirical success?

  https://www.kdnuggets.com/2015/07/deep-learning-triumph-empiricism-over-theoretical-mathematical-guarantees.html

• Popular Deep Learning Tools – a review

  Deep Learning is the hottest trend now in AI and Machine Learning. We review the popular software for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch.

  https://www.kdnuggets.com/2015/06/popular-deep-learning-tools.html

• Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1

  An recent interview from the talking machine podcast with three deep learning experts. They talked about the neural network winter and its renewal.

  https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p1.html

• Small Data requires Specialized Deep Learning and Yann LeCun response

  For industries that have relatively small data sets (less than a petabyte), a Specialized Deep Learning approach based on unsupervised learning and domain knowledge is needed.

  https://www.kdnuggets.com/2015/03/small-data-specialized-deep-learning-yann-lecun.html

• Deep Learning for Text Understanding from Scratch

  Forget about the meaning of words, forget about grammar, forget about syntax, forget even the very concept of a word. Now let the machine learn everything by itself.

  https://www.kdnuggets.com/2015/03/deep-learning-text-understanding-from-scratch.html

• Deep Learning, The Curse of Dimensionality, and Autoencoders

  Autoencoders are an extremely exciting new approach to unsupervised learning and for many machine learning tasks they have already surpassed the decades of progress made by researchers handpicking features.

  https://www.kdnuggets.com/2015/03/deep-learning-curse-dimensionality-autoencoders.html

• (Deep Learning’s Deep Flaws)’s Deep Flaws

  Recent press has challenged the hype surrounding deep learning, trumpeting several findings which expose shortcomings of current algorithms. However, many of deep learning's reported flaws are universal, affecting nearly all machine learning algorithms.

  https://www.kdnuggets.com/2015/01/deep-learning-flaws-universal-machine-learning.html

• Interview: Arno Candel, H2O.ai on the Basics of Deep Learning to Get You Started

  We discuss how Deep Learning is different from the other methods of Machine Learning, unique characteristics and benefits of Deep Learning, and the key components of H2O architecture.

  https://www.kdnuggets.com/2015/01/interview-arno-candel-0xdata-deep-learning.html

• Deep Learning can be easily fooled

  It is almost impossible for human eyes to label the images below to be anything but abstract arts. However, researchers found that Deep Neural Network will label them to be familiar objects with 99.99% confidence. The generality of DNN is questioned again.

  https://www.kdnuggets.com/2015/01/deep-learning-can-be-easily-fooled.html

• Deep Learning in a Nutshell – what it is, how it works, why care?

  Deep learning and neural networks are increasingly important concepts in computer science with great strides being made by large companies like Google and startups like DeepMind.

  https://www.kdnuggets.com/2015/01/deep-learning-explanation-what-how-why.html

• Geoffrey Hinton talks about Deep Learning, Google and Everything

  A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.

  https://www.kdnuggets.com/2014/12/geoffrey-hinton-talks-deep-learning-google-everything.html

• Will Deep Learning take over Machine Learning, make other algorithms obsolete?

  Will deep learning will take over machine learning and make other algorithms obsolete, or is it too complex to use on simpler problems? We look at both sides of this discussion.

  https://www.kdnuggets.com/2014/10/deep-learning-make-machine-learning-algorithms-obsolete.html

• Deep Learning – important resources for learning and understanding

  New and fundamental resources for learning about Deep Learning - the hottest machine learning method, which is approaching human performance level.

  https://www.kdnuggets.com/2014/08/deep-learning-important-resources-learning-understanding.html

• Interview: Pedro Domingos: the Master Algorithm, new type of Deep Learning, great advice for young researchers

  Top researcher Pedro Domingos on useful maxims for Data Mining, Machine Learning as the Master Algorithm, new type of Deep Learning called sum-product networks, Big Data and startups, and great advice to young researchers.

  https://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html

• Does Deep Learning Have Deep Flaws?

  A recent study of neural networks found that for every correctly classified image, one can generate an "adversarial", visually indistinguishable image that will be misclassified. This suggests potential deep flaws in all neural networks, including possibly a human brain.

  https://www.kdnuggets.com/2014/06/deep-learning-deep-flaws.html

• Where to Learn Deep Learning – Courses, Tutorials, Software

  Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.

  https://www.kdnuggets.com/2014/05/learn-deep-learning-courses-tutorials-overviews.html

• KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab

  We discuss what enabled Deep Learning to achieve remarkable successes recently, his argument with Vapnik about (deep) neural nets vs kernel (support vector) machines, and what kind of AI can we expect from Facebook.

  https://www.kdnuggets.com/2014/02/exclusive-yann-lecun-deep-learning-facebook-ai-lab.html

• Deep Learning Wins Dogs vs Cats competition on Kaggle

  A Deep learning expert wins Kaggle Dogs vs Cats image competition with an almost perfect result.

  https://www.kdnuggets.com/2014/02/deep-learning-wins-dogs-vs-cats-competition.html

• HuggingFace Has Launched a Free Deep Reinforcement Learning Course

  Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.

  https://www.kdnuggets.com/2022/05/huggingface-launched-free-deep-reinforcement-learning-course.html

• DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models

  Causal Bayesian Networks are used to model the influence of fairness attributes in a dataset.

  https://www.kdnuggets.com/2020/10/deepmind-relies-statistical-method-build-fair-machine-learning-models.html

• DeepMind’s Three Pillars for Building Robust Machine Learning Systems

  Specification Testing, Robust Training and Formal Verification are three elements that the AI powerhouse believe hold the essence of robust machine learning models.

  https://www.kdnuggets.com/2020/08/deepmind-three-pillars-building-robust-machine-learning-systems.html

• Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron">Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron

  DeepMind’s research shows how to understand the role of individual neurons in a neural network.

  https://www.kdnuggets.com/2020/06/learning-forgetting-deep-neural-networks-jennifer-aniston.html

• DeepMind’s Suggestions for Learning #AtHomeWithAI

  DeepMind has been sharing resources for learning AI at home on their Twitter account. Check out a few of these suggestions here, and keep your eye on the #AtHomeWithAI hashtag for more.

  https://www.kdnuggets.com/2020/05/deepmind-suggested-resources-learning-ai.html

• What You Need to Know About Deep Reinforcement Learning

  How does deep learning solve the challenges of scale and complexity in reinforcement learning? Learn how combining these approaches will make more progress toward the notion of Artificial General Intelligence.

  https://www.kdnuggets.com/2020/05/deep-reinforcement-learning.html

• DeepMind is Using This Old Technique to Evaluate Fairness in Machine Learning Models

  Visualizing the datasets is an essential component to identify potential sources of bias and unfairness. DeepMind relied on a method called Causal Bayesian networks (CBNs) to represent and estimate unfairness in a dataset.

  https://www.kdnuggets.com/2019/10/deepmind-using-old-technique-evaluate-fairness-machine-learning-models.html

• DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks

  Three new releases that will help researchers streamline the implementation of reinforcement learning programs.

  https://www.kdnuggets.com/2019/09/deepmind-three-new-impressive-reinforcement-learning-frameworks.html

• Machine Learning and Deep Link Graph Analytics: A Powerful Combination

  We investigate how graphs can help machine learning and how they are related to deep link graph analytics for Big Data.

  https://www.kdnuggets.com/2019/04/machine-learning-graph-analytics.html

• Deep Multi-Task Learning – 3 Lessons Learned

  We share specific points to consider when implementing multi-task learning in a Neural Network (NN) and present TensorFlow solutions to these issues.

  https://www.kdnuggets.com/2019/02/deep-multi-task-learning.html

• Estimating an Optimal Learning Rate For a Deep Neural Network

  This post describes a simple and powerful way to find a reasonable learning rate for your neural network.

  https://www.kdnuggets.com/2017/11/estimating-optimal-learning-rate-deep-neural-network.html

• Top KDnuggets tweets, Jun 28-Jul 4: Cheat Sheet of #MachineLearning and #Python Cheat Sheets; Learning #DeepLearning with #Keras

  Also: Train your #deeplearning model faster and sharper — two novel techniques; Lecture Collection - Natural Language Processing with #DeepLearning (Winter 2017) [Stanford]; #ICYMI 10 Free Must-Read Books for #MachineLearning and #DataScience

  https://www.kdnuggets.com/2017/07/top-tweets-jun28-jul4.html

• Eat Melon: A Deep Q Reinforcement Learning Demo in your browser

  Check "Eat Melon demo", a fun way to gain familiarity with the Deep Q Learning algorithm, which you can do in your browser.

  https://www.kdnuggets.com/2017/01/eat-melon-deep-q-reinforcement-learning-demo.html

• arXiv Paper Spotlight: Why Does Deep and Cheap Learning Work So Well?

  The recent paper at hand approaches explaining deep learning from a different perspective, that of physics, and discusses the role of "cheap learning" (parameter reduction) and how it relates back to this innovative perspective.

  https://www.kdnuggets.com/2016/12/arxiv-spotlight-deep-cheap-learning.html

• Facebook Open Sources deep-learning modules for Torch

  We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.

  https://www.kdnuggets.com/2015/02/facebook-open-source-deep-learning-torch.html

• A Free Data Science Learning Roadmap: For All Levels with IBM

  Learn data science according to your expertise with these 4 different learning roadmaps.

  https://www.kdnuggets.com/a-free-data-science-learning-roadmap-for-all-levels-with-ibm

• Streamline Your Machine Learning Workflow with Scikit-learn Pipelines

  Learn how to enhance the quality of your machine learning code using Scikit-learn Pipeline and ColumnTransformer.

  https://www.kdnuggets.com/streamline-your-machine-learning-workflow-with-scikit-learn-pipelines

• Master Data Science in a Year: The Ultimate Guide to Affordable, Self-Paced Learning

  Ready to start a career in data science? Put your commitment hat on because I found 4 courses you need to become a master in a year!

  https://www.kdnuggets.com/master-data-science-in-a-year-the-ultimate-guide-to-affordable-self-paced-learning

• Exploring the Potential of Transfer Learning in Small Data Scenarios

  This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.

  https://www.kdnuggets.com/exploring-the-potential-of-transfer-learning-in-small-data-scenarios

• Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

  Begin your data professional journey from the basics of statistics to building a production-grade AI application.

  https://www.kdnuggets.com/collection-of-free-courses-to-learn-data-science-data-engineering-machine-learning-mlops-and-llmops

• Navigating the Data Revolution: Exploring the Booming Trends in Data Science and Machine Learning

  Dive into transformative trends in data science, encompassing AI-powered automation, NLP, ethical considerations, decentralized computing, and interdisciplinary collaboration.

  https://www.kdnuggets.com/navigating-the-data-revolution-exploring-the-booming-trends-in-data-science-and-machine-learning

• Survey: Machine Learning Projects Still Routinely Fail to Deploy

  Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book "The AI Playbook."

  https://www.kdnuggets.com/survey-machine-learning-projects-still-routinely-fail-to-deploy

• 25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

  Discover a collection of best books to start your data career or master a new skill, all for free!

  https://www.kdnuggets.com/25-free-books-to-master-sql-python-data-science-machine-learning-and-natural-language-processing

• 25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI

  Discover a collection of top courses to launch your dream career or master a new skill, all for free!

  https://www.kdnuggets.com/25-free-courses-to-master-data-science-data-engineering-machine-learning-mlops-and-generative-ai

• Top 10 Kaggle Machine Learning Projects to Become Data Scientist in 2024

  Master Data Science with Top 10 Kaggle ML Projects to become a Data Scientist.

  https://www.kdnuggets.com/top-10-kaggle-machine-learning-projects-to-become-data-scientist-in-2024

• KDnuggets News, December 6: GitHub Repositories to Master Machine Learning • 5 Free Courses to Master Data Engineering

  This week on KDnuggets: Discover GitHub repositories from machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job • Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company • And much, much more!

  https://www.kdnuggets.com/newsletter-n44-2023-12-06

• 10 GitHub Repositories to Master Machine Learning

  The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.

  https://www.kdnuggets.com/10-github-repositories-to-master-machine-learning

• 5 Free Courses to Master Machine Learning

  Are you excited to learn about and build machine learning models? Start learning today with these free machine learning courses.

  https://www.kdnuggets.com/5-free-courses-to-master-machine-learning

• Tackle computer science problems using both fundamental and modern algorithms in machine learning

  Master algorithms, including deep learning like LSTMs, GRUs, RNNs, and Generative AI & LLMs such as ChatGPT, with Packt's 50 Algorithms Every Programmer Should Know.

  https://www.kdnuggets.com/2023/11/packt-tackle-computer-science-problems-fundamental-modern-algorithms-machine-learning

• Everything you need to become a SAS Certified Machine Learning Engineer

  Read on to find out everything you need to become a SAS Certified Machine Learning Engineer.

  https://www.kdnuggets.com/2023/11/sas-everything-need-become-sas-certified-machine-learning-engineer

• The Top 5 Cloud Machine Learning Platforms & Tools

  What are the top 5 cloud machine learning platforms in the market today. Our list will help provide some vital insights into which platform might best cater to your specific machine learning needs. See what KDnuggets recommends.

  https://www.kdnuggets.com/the-top-5-cloud-machine-learning-platforms-tools

• 5 Free Books to Master Machine Learning

  Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

  https://www.kdnuggets.com/5-free-books-to-master-machine-learning

• Hands-On with Unsupervised Learning: K-Means Clustering

  This tutorial provides hands-on experience with the key concepts and implementation of K-Means clustering, a popular unsupervised learning algorithm, for customer segmentation and targeted advertising applications.

  https://www.kdnuggets.com/handson-with-unsupervised-learning-kmeans-clustering

• Unveiling Unsupervised Learning

  Explore the unsupervised learning paradigm. Familiarize yourself with the key concepts, techniques, and popular unsupervised learning algorithms.

  https://www.kdnuggets.com/unveiling-unsupervised-learning

• Ensemble Learning Techniques: A Walkthrough with Random Forests in Python

  A practical walkthrough for random forests in Python.

  https://www.kdnuggets.com/ensemble-learning-techniques-a-walkthrough-with-random-forests-in-python

• Understanding Supervised Learning: Theory and Overview

  This article covers a high-level overview of popular supervised learning algorithms and is curated specially for beginners.

  https://www.kdnuggets.com/understanding-supervised-learning-theory-and-overview

• Demystifying Machine Learning

  This article is intended to familiarize you with the essence of Machine learning, the basic concepts, and the high-level machine learning process.

  https://www.kdnuggets.com/demystifying-machine-learning

• Understanding Machine Learning Algorithms: An In-Depth Overview

  Understanding Machine Learning: Exposing the Tasks, Algorithms, and Selecting the Best Model.

  https://www.kdnuggets.com/understanding-machine-learning-algorithms-an-indepth-overview

• Using SHAP Values for Model Interpretability in Machine Learning

  Discover how SHAP can help you understand the impact of model features on predictions.

  https://www.kdnuggets.com/2023/08/shap-values-model-interpretability-machine-learning.html

• Introduction to Statistical Learning, Python Edition: Free Book

  The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.

  https://www.kdnuggets.com/2023/07/introduction-statistical-learning-python-edition-free-book.html

• Unlock the Power of AI – A Special Release by KDnuggets and Machine Learning Mastery

  We are excited to announce a collaboration between Machine Learning Mastery and KDnuggets, our brand new ebook, "Maximizing Productivity with ChatGPT," to enrich your Machine Learning journey.

  https://www.kdnuggets.com/2023/07/mlm-unlock-power-ai-special-release-kdnuggets-machine-learning-mastery.html

• Unlock the Secrets to Choosing the Perfect Machine Learning Algorithm!

  When working on a data science problem, one of the most important choices to make is selecting the appropriate machine learning algorithm.

  https://www.kdnuggets.com/2023/07/ml-algorithm-choose.html

• Free From Google: Generative AI Learning Path

  Want to keep updated about Generative AI? Check these free courses and resources from Google Cloud.

  https://www.kdnuggets.com/2023/07/free-google-generative-ai-learning-path.html

• A Practical Approach To Feature Engineering In Machine Learning

  This article discussed the importance of feature learning in machine learning and how it can be implemented in simple, practical steps.

  https://www.kdnuggets.com/2023/07/practical-approach-feature-engineering-machine-learning.html

• Reinforcement Learning: Teaching Computers to Make Optimal Decisions

  Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement learning framework: from agents and rewards to value functions, policy, and more.

  https://www.kdnuggets.com/2023/07/reinforcement-learning-teaching-computers-make-optimal-decisions.html

• A Comparison of Machine Learning Algorithms in Python and R

  This list of the most commonly used machine learning algorithms in Python and R is intended to help novice engineers and enthusiasts get familiar with the most commonly used algorithms.

  https://www.kdnuggets.com/2023/06/machine-learning-algorithms-python-r.html

• Closing the Gap Between Human Understanding and Machine Learning: Explainable AI as a Solution

  This article elaborates on the importance of Explainable AI (XAI), what the challenges in building interpretable AI models are, and some practical guidelines for companies to build XAI models.

  https://www.kdnuggets.com/2023/06/closing-gap-human-understanding-machine-learning-explainable-ai-solution.html

• A Practical Guide to Transfer Learning using PyTorch

  In this article, we’ll learn to adapt pre-trained models to custom classification tasks using a technique called transfer learning. We will demonstrate it for an image classification task using PyTorch, and compare transfer learning on 3 pre-trained models, Vgg16, ResNet50, and ResNet152.

  https://www.kdnuggets.com/2023/06/practical-guide-transfer-learning-pytorch.html

• How to MLOps like a Boss: A Guide to Machine Learning without Tears

  If you have ever emailed a .pickle file to engineers for deployment, this is for YOU!

  https://www.kdnuggets.com/2023/06/mlops-like-boss-guide-machine-learning-without-tears.html

• A Deep Dive into GPT Models: Evolution & Performance Comparison

  The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.

  https://www.kdnuggets.com/2023/05/deep-dive-gpt-models.html

• Fighting AI with AI Fraud Monitoring for Deepfake Applications

  An overview of Deepfake, and how they are being used to perpetuate financial fraud.

  https://www.kdnuggets.com/2023/05/fighting-ai-ai-fraud-monitoring-deepfake-applications.html

• Clustering with scikit-learn: A Tutorial on Unsupervised Learning

  Clustering in machine learning with Python: algorithms, evaluation metrics, real-life applications, and more.

  https://www.kdnuggets.com/2023/05/clustering-scikitlearn-tutorial-unsupervised-learning.html

• ChatGPT as a Personalized Tutor for Learning Data Science Concepts

  Utilize the power of ChatGPT for data science self-learning.

  https://www.kdnuggets.com/2023/05/chatgpt-personalized-tutor-learning-data-science-concepts.html

• Automated Machine Learning with Python: A Case Study

  How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

  https://www.kdnuggets.com/2023/04/automated-machine-learning-python-case-study.html

• Best Machine Learning Model For Sparse Data

  Sparse Data Survival Guide: Strategies for Success with Machine Learning.

  https://www.kdnuggets.com/2023/04/best-machine-learning-model-sparse-data.html

• 5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

  Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

  https://www.kdnuggets.com/2023/03/5-machine-learning-skills-every-machine-learning-engineer-know-2023.html

• Top 15 YouTube Channels to Level Up Your Machine Learning Skills

  Machine learning is the key driver of innovation and progress but finding the right resources to learn can be a tiring process. Save time searching aimlessly, and take advantage of our curated list of the top 15 YouTube channels to jumpstart your journey.

  https://www.kdnuggets.com/2023/03/top-15-youtube-channels-level-machine-learning-skills.html

• Top Machine Learning Papers to Read in 2023

  These curated papers would step up your machine-learning knowledge.

  https://www.kdnuggets.com/2023/03/top-machine-learning-papers-read-2023.html

• First Open Source Implementation of DeepMind’s AlphaTensor

  The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.

  https://www.kdnuggets.com/2023/03/first-open-source-implementation-deepmind-alphatensor.html

• Get World-class Data Science Learning with DataCamp at 25% off

  Equip yourself for our data-driven future with 25% off a world-class data science learning platform DataCamp. Check out the details here.

  https://www.kdnuggets.com/2023/03/datacamp-world-class-data-science-learning.html

• Importance of Pre-Processing in Machine Learning

  Learn how pre-processing improves the performance of machine learning models.

  https://www.kdnuggets.com/2023/02/importance-preprocessing-machine-learning.html

• Learning How to Use ChatGPT to Learn Python (or anything else)

  Let's learn how ChatGPT can help us learn about Python... or really anything at all.

  https://www.kdnuggets.com/2023/02/learn-python-chatgpt.html

• How to Implement a Federated Learning Project with Healthcare Data

  Learn about Federated Learning and how you can use it in the healthcare sector.

  https://www.kdnuggets.com/2023/02/implement-federated-learning-project-healthcare-data.html

• 10 Free Machine Learning Courses from Top Universities

  Learn the basics of machine learning, including classification, SVM, decision tree learning, neural networks, convolutional, neural networks, boosting, and K nearest neighbors.

  https://www.kdnuggets.com/2023/02/10-free-machine-learning-courses-top-universities.html

• Learn Machine Learning From These GitHub Repositories

  Kickstart your Machine Learning career with these curated GitHub repositories.

  https://www.kdnuggets.com/2023/01/learn-machine-learning-github-repositories.html

• 7 Best Libraries for Machine Learning Explained

  Learn about machine learning libraries for building and deploying machine learning models.

  https://www.kdnuggets.com/2023/01/7-best-libraries-machine-learning-explained.html

• KDnuggets News, January 11: Python Matplotlib Cheatsheets • More Data Science Cheatsheets • Data Science & Machine Learning Developments of 2022

  Key Data Science, Machine Learning, AI and Analytics Developments of 2022 • Python Matplotlib Cheat Sheets • More Data Science Cheatsheets • Free Data Management with Data Science Learning with CS639 • Data-Driven Holiday Cheer: How Santa is Using Analytics to Make the Season Bright

  https://www.kdnuggets.com/2023/n01.html

• Free Data Management with Data Science Learning with CS639

  Learn Data Management with Data Science for FREE with CS639.

  https://www.kdnuggets.com/2023/01/free-data-management-data-science-learning-cs639.html

• Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning

  This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.

  https://www.kdnuggets.com/2020/11/top-python-libraries-data-science-data-visualization-machine-learning.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• 24 Best (and Free) Books To Understand Machine Learning

  We have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.

  https://www.kdnuggets.com/2020/03/24-best-free-books-understand-machine-learning.html

• 7 Super Cheat Sheets You Need To Ace Machine Learning Interview

  Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round.

  https://www.kdnuggets.com/2022/12/7-super-cheat-sheets-need-ace-machine-learning-interview.html

• Zero-shot Learning, Explained

  How you can train a model to learn and predict unseen data?

  https://www.kdnuggets.com/2022/12/zeroshot-learning-explained.html

• 3 Free Machine Learning Courses for Beginners

  Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

  https://www.kdnuggets.com/2022/12/3-free-machine-learning-courses-beginners.html

• The Complete Machine Learning Study Roadmap

  Find out where you need to be to start your Machine Learning journey and what you need to do to succeed in the field.

  https://www.kdnuggets.com/2022/12/complete-machine-learning-study-roadmap.html

• What Google Recommends You do Before Taking Their Machine Learning or Data Science Course

  First steps to learning data science & machine learning are the foundations.

  https://www.kdnuggets.com/2021/10/google-recommends-before-machine-learning-data-science-course.html

• Multimodal Grounded Learning with Vision and Language

  How to enable AI models to have similar capabilities: to communicate, to ground, and to learn from language.

  https://www.kdnuggets.com/2022/11/multimodal-grounded-learning-vision-language.html

• 10 Amazing Machine Learning Visualizations You Should Know in 2023

  Yellowbrick for creating machine learning plots with less code.

  https://www.kdnuggets.com/2022/11/10-amazing-machine-learning-visualizations-know-2023.html

• SHAP: Explain Any Machine Learning Model in Python

  A Comprehensive Guide to SHAP and Shapley Values

  https://www.kdnuggets.com/2022/11/shap-explain-machine-learning-model-python.html

• If I Had To Start Learning Data Science Again, How Would I Do It?

  While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.

  https://www.kdnuggets.com/2020/08/start-learning-data-science-again.html

• How LinkedIn Uses Machine Learning To Rank Your Feed

  In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.

  https://www.kdnuggets.com/2022/11/linkedin-uses-machine-learning-rank-feed.html

• Simple and Fast Data Streaming for Machine Learning Projects

  Learn about the cutting-edge DagsHub's Direct Data Access for simple and faster data loading and model training.

  https://www.kdnuggets.com/2022/11/simple-fast-data-streaming-machine-learning-projects.html

• Machine Learning on the Edge

  Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

  https://www.kdnuggets.com/2022/10/machine-learning-edge.html

• Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

  As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

  https://www.kdnuggets.com/2022/10/top-10-mlops-tools-optimize-manage-machine-learning-lifecycle.html

• Frameworks for Approaching the Machine Learning Process

  This post is a summary of 2 distinct frameworks for approaching machine learning tasks, followed by a distilled third. Do they differ considerably (or at all) from each other, or from other such processes available?

  https://www.kdnuggets.com/2018/05/general-approaches-machine-learning-process.html