Search results for deep learning
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What Does it Mean to Deploy a Machine Learning Model?
You are a Data Scientist who knows how to develop machine learning models. You might also be a Data Scientist who is too afraid to ask how to deploy your machine learning models. The answer isn't entirely straightforward, and so is a major pain point of the community. This article will help you take a step in the right direction for production deployments that are automated, reproducible, and auditable.https://www.kdnuggets.com/2020/02/deploy-machine-learning-model.html
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Sharing your machine learning models through a common API
DEEPaaS API is a software component developed to expose machine learning models through a REST API. In this article we describe how to do it.https://www.kdnuggets.com/2020/02/sharing-machine-learning-models-common-api.html
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Amazon Uses Self-Learning to Teach Alexa to Correct its Own Mistakes
The digital assistant incorporates a reformulation engine that can learn to correct responses in real time based on customer interactions.https://www.kdnuggets.com/2020/02/amazon-uses-self-learning-teach-alexa-correct-mistakes.html
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Intro to Machine Learning and AI based on high school knowledge
Machine learning information is becoming pervasive in the media as well as a core skill in new, important job sectors. Getting started in the field can require learning complex concepts, and this article outlines an approach on how to begin learning about these exciting topics based on high school knowledge.https://www.kdnuggets.com/2020/02/intro-machine-learning-ai.html
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Why are Machine Learning Projects so Hard to Manage?
What makes deploying a machine learning project so difficult? Is it the expectations? The people? The tech? There are common threads to these challenges, and best practices exist to deal with them.https://www.kdnuggets.com/2020/02/machine-learning-projects-manage.html
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Past 2020 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning
Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »https://www.kdnuggets.com/meetings/past-meetings-2020.html
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Data Validation for Machine Learning">Data Validation for Machine Learning
While the validation process cannot directly find what is wrong, the process can show us sometimes that there is a problem with the stability of the model.https://www.kdnuggets.com/2020/01/data-validation-machine-learning.html
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Top 10 AI, Machine Learning Research Articles to know">Top 10 AI, Machine Learning Research Articles to know
We’ve seen many predictions for what new advances are expected in the field of AI and machine learning. Here, we review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.https://www.kdnuggets.com/2020/01/top-10-ai-ml-articles-to-know.html
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Managing Machine Learning Cycles: Five Learnings from comparing Data Science Experimentation/ Collaboration Tools
Machine learning projects require handling different versions of data, source code, hyperparameters, and environment configuration. Numerous tools are on the market for managing this variety, and this review features important lessons learned from an ongoing evaluation of the current landscape.https://www.kdnuggets.com/2020/01/managing-machine-learning-cycles.html
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Semi-supervised learning with Generative Adversarial Networks
The paper discussed in this post, Semi-supervised learning with Generative Adversarial Networks, utilizes a GAN architecture for multi-label classification.https://www.kdnuggets.com/2020/01/semi-supervised-learning-generative-adversarial-networks.html
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Random Forest® — A Powerful Ensemble Learning Algorithm
The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier.https://www.kdnuggets.com/2020/01/random-forest-powerful-ensemble-learning-algorithm.html
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The Future of Machine Learning
This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.https://www.kdnuggets.com/2020/01/future-machine-learning.html
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Classify A Rare Event Using 5 Machine Learning Algorithms
Which algorithm works best for unbalanced data? Are there any tradeoffs?https://www.kdnuggets.com/2020/01/classify-rare-event-machine-learning-algorithms.html
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Graph Machine Learning Meets UX: An uncharted love affair
When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.https://www.kdnuggets.com/2020/01/graph-machine-learning-ux.html
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Uber Creates Generative Teaching Networks to Better Train Deep Neural Networks
The new technique can really improve how deep learning models are trained at scale.https://www.kdnuggets.com/2020/01/uber-generative-teaching-networks-train-neural-networks.html
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Deepfakes Security Risks
Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently.https://www.kdnuggets.com/2020/01/deepfakes-security-risks.html
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The Book to Start You on Machine Learning">The Book to Start You on Machine Learning
This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.https://www.kdnuggets.com/2020/01/book-start-machine-learning.html
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Introducing Generalized Integrated Gradients (GIG): A Practical Method for Explaining Diverse Ensemble Machine Learning Models
There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.https://www.kdnuggets.com/2020/01/generalized-integrated-gradients-explaining-ensemble-models.html
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H2O Framework for Machine Learning
This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.https://www.kdnuggets.com/2020/01/h2o-framework-machine-learning.html
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How To “Ultralearn” Data Science: deep understanding and experimentation, Part 4
In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.https://www.kdnuggets.com/2019/12/ultralearn-data-science-deep-understanding-experimentation-part4.html
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10 Best and Free Machine Learning Courses, Online
Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html
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Microsoft Introduces Icebreaker to Address the Famous Ice-Start Challenge in Machine Learning
The new technique allows the deployment of machine learning models that operate with minimum training data.https://www.kdnuggets.com/2019/12/microsoft-introduces-icebreaker-ice-start-challenge-machine-learning.html
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Scalable graph machine learning: a mountain we can climb?
Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability. We take a close look at scalability for graph machine learning methods covering what it is, what makes it difficult, and an example of a method that tackles it head-on.https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.html
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DeepMind Unveils MuZero, a New Agent that Mastered Chess, Shogi, Atari and Go Without Knowing the Rules
The new model showed great improvements over the previous AlphaZero agent.https://www.kdnuggets.com/2019/12/deepmind-unveils-muzero-agent-chess-shogi-atari-go.html
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10 Free Top Notch Machine Learning Courses">10 Free Top Notch Machine Learning Courses
Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.https://www.kdnuggets.com/2019/12/10-free-top-notch-courses-machine-learning.html
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Why software engineering processes and tools don’t work for machine learning
While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.https://www.kdnuggets.com/2019/12/comet-software-engineering-machine-learning.html
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Lit BERT: NLP Transfer Learning In 3 Steps
PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.https://www.kdnuggets.com/2019/11/lit-bert-nlp-transfer-learning-3-steps.html
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Machine Learning 101: The What, Why, and How of Weighting
Weighting is a technique for improving models. In this article, learn more about what weighting is, why you should (and shouldn’t) use it, and how to choose optimal weights to minimize business costs.https://www.kdnuggets.com/2019/11/machine-learning-what-why-how-weighting.html
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Probability Learning: Naive Bayes
This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.https://www.kdnuggets.com/2019/11/probability-learning-naive-bayes.html
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Automated Machine Learning Project Implementation Complexities">Automated Machine Learning Project Implementation Complexities
To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.https://www.kdnuggets.com/2019/11/automl-implementation-complexities.html
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead">Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
The two main takeaways from this paper: firstly, a sharpening of my understanding of the difference between explainability and interpretability, and why the former may be problematic; and secondly some great pointers to techniques for creating truly interpretable models.https://www.kdnuggets.com/2019/11/stop-explaining-black-box-models.html
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The Reinforcement-Learning Methods that Allow AlphaStar to Outcompete Almost All Human Players at StarCraft II
The new AlphaStar achieved Grandmaster level at StarCraft II overcoming some of the limitations of the previous version. How did it do it?https://www.kdnuggets.com/2019/11/reinforcement-learning-methods-alphastar-outcompete-human-players-starcraft.html
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GitHub Repo Raider and the Automation of Machine Learning
Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.https://www.kdnuggets.com/2019/11/github-repo-raider-automated-machine-learning.html
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Testing Your Machine Learning Pipelines
Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.https://www.kdnuggets.com/2019/11/testing-machine-learning-pipelines.html
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Transfer Learning Made Easy: Coding a Powerful Technique
While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.https://www.kdnuggets.com/2019/11/transfer-learning-coding.html
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Facebook Adds This New Framework to It’s Reinforcement Learning Arsenal
ReAgent is a new framework that streamlines the implementation of reasoning systems.https://www.kdnuggets.com/2019/11/facebook-adds-this-new-framework-reinforcement-learning-arsenal.html
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Research Guide: Advanced Loss Functions for Machine Learning Models
This guide explores research centered on a variety of advanced loss functions for machine learning models.https://www.kdnuggets.com/2019/11/research-guide-advanced-loss-functions-machine-learning-models.html
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Probability Learning: Maximum Likelihood
The maths behind Bayes will be better understood if we first cover the theory and maths underlying another fundamental method of probabilistic machine learning: Maximum Likelihood. This post will be dedicated to explaining it.https://www.kdnuggets.com/2019/11/probability-learning-maximum-likelihood.html
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Top Machine Learning Software Tools for Developers">Top Machine Learning Software Tools for Developers
As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html
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What is Machine Learning on Code?
Not only can MLonCode help companies streamline their codebase and software delivery processes, but it also helps organizations better understand and manage their engineering talents.https://www.kdnuggets.com/2019/11/machine-learning-code-mloncode.html
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Why is Machine Learning Deployment Hard?">Why is Machine Learning Deployment Hard?
Developing an excellent machine learning model is one thing. Deploying it to production is another. Consider these lessons learned and recommendations for approaching this important challenge to help ensure value from your AI work.https://www.kdnuggets.com/2019/10/machine-learning-deployment-hard.html
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How to Extend Scikit-learn and Bring Sanity to Your Machine Learning Workflow
In this post, learn how to extend Scikit-learn code to make your experiments easier to maintain and reproduce.https://www.kdnuggets.com/2019/10/extend-scikit-learn-bring-sanity-machine-learning-workflow.html
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How Bayes’ Theorem is Applied in Machine Learning
Learn how Bayes Theorem is in Machine Learning for classification and regression!https://www.kdnuggets.com/2019/10/bayes-theorem-applied-machine-learning.html
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Intro to Adversarial Machine Learning and Generative Adversarial Networks
In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.https://www.kdnuggets.com/2019/10/adversarial-machine-learning-generative-adversarial-networks.html
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Probability Learning: Bayes’ Theorem
Learn about one of the fundamental theorems of probability with an easy everyday example.https://www.kdnuggets.com/2019/10/probability-learning-bayes-theorem.html
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Three Things to Know About Reinforcement Learning
As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do you start? The best place to begin is to understand what the concept is, how to implement it, and whether it’s the right approach for a given problem.https://www.kdnuggets.com/2019/10/mathworks-reinforcement-learning.html
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Choosing a Machine Learning Model
Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications.https://www.kdnuggets.com/2019/10/choosing-machine-learning-model.html
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Recreating Imagination: DeepMind Builds Neural Networks that Spontaneously Replay Past Experiences
DeepMind researchers created a model to be able to replay past experiences in a way that simulate the mechanisms in the hippocampus.https://www.kdnuggets.com/2019/10/recreating-imagination-deepmind-builds-neural-networks-spontaneously-replay-past-experiences.html
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Scikit-Learn & More for Synthetic Dataset Generation for Machine Learning
While mature algorithms and extensive open-source libraries are widely available for machine learning practitioners, sufficient data to apply these techniques remains a core challenge. Discover how to leverage scikit-learn and other tools to generate synthetic data appropriate for optimizing and fine-tuning your models.https://www.kdnuggets.com/2019/09/scikit-learn-synthetic-dataset.html
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5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python
“I want to learn machine learning and artificial intelligence, where do I start?” Here.https://www.kdnuggets.com/2019/09/5-beginner-friendly-steps-learn-machine-learning-data-science-python.html
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Explore the world of Bioinformatics with Machine Learning">Explore the world of Bioinformatics with Machine Learning
The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.https://www.kdnuggets.com/2019/09/explore-world-bioinformatics-machine-learning.html
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Cartoon: Unsupervised Machine Learning?">Cartoon: Unsupervised Machine Learning?
New KDnuggets Cartoon looks at one of the hottest directions in Machine Learning and asks "Can Machine Learning be too unsupervised?"https://www.kdnuggets.com/2019/09/cartoon-unsupervised-machine-learning.html
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Many Heads Are Better Than One: The Case For Ensemble Learning
While ensembling techniques are notoriously hard to set up, operate, and explain, with the latest modeling, explainability and monitoring tools, they can produce more accurate and stable predictions. And better predictions can be better for business.https://www.kdnuggets.com/2019/09/ensemble-learning.html
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Can graph machine learning identify hate speech in online social networks?
Online hate speech is a complex subject. Follow this demonstration using state-of-the-art graph neural network models to detect hateful users based on their activities on the Twitter social network.https://www.kdnuggets.com/2019/09/graph-machine-learning-hate-speech-social-networks.html
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Common Machine Learning Obstacles
In this blog, Seth DeLand of MathWorks discusses two of the most common obstacles relate to choosing the right classification model and eliminating data overfitting.https://www.kdnuggets.com/2019/09/mathworks-common-machine-learning-obstacles.html
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Advice on building a machine learning career and reading research papers by Prof. Andrew Ng">Advice on building a machine learning career and reading research papers by Prof. Andrew Ng
This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.https://www.kdnuggets.com/2019/09/advice-building-machine-learning-career-research-papers-andrew-ng.html
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Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing
Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.https://www.kdnuggets.com/2019/08/introducing-ai-explainability-360-toolkit-understand-machine-learning-models.html
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How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions
As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important. Fast growing technology companies like Uber or LinkedIn have been forced to build their own in-house data lifecycle management solutions to power different groups of machine learning models.https://www.kdnuggets.com/2019/08/linkedin-uber-lyft-airbnb-netflix-solving-data-management-discovery-machine-learning-solutions.html
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Understanding Cancer using Machine Learning">Understanding Cancer using Machine Learning
Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.https://www.kdnuggets.com/2019/08/understanding-cancer-machine-learning.html
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Statistical Modelling vs Machine Learning">Statistical Modelling vs Machine Learning
At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.https://www.kdnuggets.com/2019/08/statistical-modelling-vs-machine-learning.html
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6 Key Concepts in Andrew Ng’s “Machine Learning Yearning”">6 Key Concepts in Andrew Ng’s “Machine Learning Yearning”
If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers.https://www.kdnuggets.com/2019/08/key-concepts-andrew-ng-machine-learning-yearning.html
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Knowing Your Neighbours: Machine Learning on Graphs">Knowing Your Neighbours: Machine Learning on Graphs
Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.https://www.kdnuggets.com/2019/08/neighbours-machine-learning-graphs.html
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Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment
This is an excerpt from a survey which sought to evaluate the relevance of machine learning in operations today, assess the current state of machine learning adoption and to identify tools used for machine learning. A link to the full report is inside.https://www.kdnuggets.com/2019/08/machine-learning-happening-now-survey-organizational-adoption-implementation-investment.html
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Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning">Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning
Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.https://www.kdnuggets.com/2019/07/best-podcasts-ai-analytics-data-science-machine-learning.html
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High-Quality AI And Machine Learning Data Labeling At Scale: A Brief Research Report
Analyst firm Cognilytica estimates that as much as 80% of machine learning project time is spent on aggregating, cleaning, labeling, and augmenting machine learning model data. So, how do innovative machine learning teams prepare data in such a way that they can trust its quality, cost of preparation, and the speed with which it’s delivered?https://www.kdnuggets.com/2019/07/high-quality-ai-machine-learning-data-labeling-research-report.html
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Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI">Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI
Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.https://www.kdnuggets.com/2019/07/top-certificates-analytics-data-science-machine-learning-ai.html
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12 Things I Learned During My First Year as a Machine Learning Engineer
Learn about the day-in-the-life of one machine learning engineer and the important lessons learned for being successful in that role.https://www.kdnuggets.com/2019/07/12-things-learned-machine-learning-engineer.html
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Is Bias in Machine Learning all Bad?
We have been taught over our years of predictive model building that bias will harm our model. Bias control needs to be in the hands of someone who can differentiate between the right kind and wrong kind of bias.https://www.kdnuggets.com/2019/07/bias-machine-learning-bad.html
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Adapters: A Compact and Extensible Transfer Learning Method for NLP
Adapters obtain comparable results to BERT on several NLP tasks while achieving parameter efficiency.https://www.kdnuggets.com/2019/07/adapters-compact-extensible-transfer-learning-method-nlp.html
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A Summary of DeepMind’s Protein Folding Upset at CASP13">A Summary of DeepMind’s Protein Folding Upset at CASP13
Learn how DeepMind dominated the last CASP competition for advancing protein folding models. Their approach using gradient descent is today's state of the art for predicting the 3D structure of a protein knowing only its comprising amino acid compounds.https://www.kdnuggets.com/2019/07/deepmind-protein-folding-upset.html
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Collaborative Evolutionary Reinforcement Learning
Intel Researchers created a new approach to RL via Collaborative Evolutionary Reinforcement Learning (CERL) that combines policy gradient and evolution methods to optimize, exploit, and explore challenges.https://www.kdnuggets.com/2019/07/collaborative-evolutionary-reinforcement-learning.html
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The Data Fabric for Machine Learning – Part 2: Building a Knowledge-Graph
Before being able to develop a Data Fabric we need to build a Knowledge-Graph. In this article I’ll set up the basis on how to create it, in the next article we’ll go to the practice on how to do this.https://www.kdnuggets.com/2019/06/data-fabric-machine-learning-building-knowledge-graph.html
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How Google uses Reinforcement Learning to Train AI Agents in the Most Popular Sport in the World
Researchers from the Google Brain team open sourced Google Research Football, a new environment that leverages reinforcement learning to teach AI agents how to master the most popular sport in the world.https://www.kdnuggets.com/2019/06/google-reinforcement-learning-ai-agents-sport.html
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Evolving Deep Neural Networks
This article reviews how evolutionary algorithms have been proposed and tested as a competitive alternative to address a number of issues related to neural network design.https://www.kdnuggets.com/2019/06/evolving-deep-neural-networks.html
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Why Machine Learning is vulnerable to adversarial attacks and how to fix it
Machine learning can process data imperceptible to humans to produce expected results. These inconceivable patterns are inherent in the data but may make models vulnerable to adversarial attacks. How can developers harness these features to not lose control of AI?https://www.kdnuggets.com/2019/06/machine-learning-adversarial-attacks.html
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Overview of Different Approaches to Deploying Machine Learning Models in Production
Learn the different methods for putting machine learning models into production, and to determine which method is best for which use case.https://www.kdnuggets.com/2019/06/approaches-deploying-machine-learning-production.html
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3 Main Approaches to Machine Learning Models
Machine learning encompasses a vast set of conceptual approaches. We classify the three main algorithmic methods based on mathematical foundations to guide your exploration for developing models.https://www.kdnuggets.com/2019/06/main-approaches-machine-learning-models.html
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What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem">What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem
We identify the 6 tools in the modern open-source Data Science ecosystem, examine the Python vs R question, and determine which tools are used the most with Deep Learning and Big Data.https://www.kdnuggets.com/2019/06/top-data-science-machine-learning-tools.html
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7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition"> 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition
This is the second part of this new learning path series for mastering machine learning with Python. Check out these 7 steps to help master intermediate machine learning with Python!https://www.kdnuggets.com/2019/06/7-steps-mastering-intermediate-machine-learning-python.html
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Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis">Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis
Python continues to lead the top Data Science platforms, but R and RapidMiner hold their share; Almost 50% have used Deep Learning tools; SQL is steady; Consolidation continues.https://www.kdnuggets.com/2019/05/poll-top-data-science-machine-learning-platforms.html
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Why organizations fail in scaling AI and Machine Learning
We explain why AI needs to understand business processes and how the business processes need to be able to change to bring insight from AI into the process.https://www.kdnuggets.com/2019/05/why-organizations-fail-scaling-ai-machine-learning.html
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AI in the Family: how to teach machine learning to your kids
AI is all the rage with today’s programmers, but what about the next generation? Machine learning can be introduced to young ones just now learning about code, and you can help spark their interest.https://www.kdnuggets.com/2019/05/ai-machine-learning-kids.html
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End-to-End Machine Learning: Making videos from images
Video is a natural way for us to understand three dimensional and time varying information. Read this short post on how to achieve the creation of videos from still images.https://www.kdnuggets.com/2019/05/making-videos-from-images.html
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How do you teach physics to machine learning models?
How to integrate physics-based models (these are math-based methods that explain the world around us) into machine learning models to reduce its computational complexity.https://www.kdnuggets.com/2019/05/physics-machine-learning-models.html
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The Data Fabric for Machine Learning – Part 1">The Data Fabric for Machine Learning – Part 1
How the new advances in semantics and the data fabric can help us be better at Machine Learninghttps://www.kdnuggets.com/2019/05/data-fabric-machine-learning-part-1.html
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Building Recommender systems with Azure Machine Learning service
Microsoft has provided a GitHub repository with Python best practice examples to facilitate the building and evaluation of recommendation systems using Azure Machine Learning services.https://www.kdnuggets.com/2019/05/recommender-systems-azure-machine-learning.html
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Machine Learning in Agriculture: Applications and Techniques">Machine Learning in Agriculture: Applications and Techniques
Machine Learning has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data intensive processes in agricultural operational environments.https://www.kdnuggets.com/2019/05/machine-learning-agriculture-applications-techniques.html
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“Please, explain.” Interpretability of machine learning models
Unveiling secrets of black box models is no longer a novelty but a new business requirement and we explain why using several different use cases.https://www.kdnuggets.com/2019/05/interpretability-machine-learning-models.html
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2019 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?">2019 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
Vote in KDnuggets 20th Annual Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? We will publish the anon data, results, and trends here.https://www.kdnuggets.com/2019/05/new-poll-software-analytics-data-science-machine-learning.html
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The 3 Biggest Mistakes on Learning Data Science">The 3 Biggest Mistakes on Learning Data Science
Data science or whatever you want to call it is not just knowing some programming languages, math, statistics and have “domain knowledge” and here I show you why.https://www.kdnuggets.com/2019/05/biggest-mistakes-learning-data-science.html
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How to Automate Tasks on GitHub With Machine Learning for Fun and Profit
Check this tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.https://www.kdnuggets.com/2019/05/automate-tasks-github-machine-learning-fun-profit.html
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Top Data Science and Machine Learning Methods Used in 2018, 2019">Top Data Science and Machine Learning Methods Used in 2018, 2019
Once again, the most used methods are Regression, Clustering, Visualization, Decision Trees/Rules, and Random Forests. The greatest relative increases this year are overwhelmingly Deep Learning techniques, while SVD, SVMs and Association Rules show the greatest decline.https://www.kdnuggets.com/2019/04/top-data-science-machine-learning-methods-2018-2019.html
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All you need to know about text preprocessing for NLP and Machine Learning
We present a comprehensive introduction to text preprocessing, covering the different techniques including stemming, lemmatization, noise removal, normalization, with examples and explanations into when you should use each of them.https://www.kdnuggets.com/2019/04/text-preprocessing-nlp-machine-learning.html
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Another 10 Free Must-See Courses for Machine Learning and Data Science">Another 10 Free Must-See Courses for Machine Learning and Data Science
Check out another follow-up collection of free machine learning and data science courses to give you some spring study ideas.https://www.kdnuggets.com/2019/04/another-10-free-must-see-courses-machine-learning-data-science.html
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Training a Champion: Building Deep Neural Nets for Big Data Analytics
Introducing Sisense Hunch, the new way of handling Big Data sets that uses AQP technology to construct Deep Neural Networks (DNNs) which are trained to learn the relationships between queries and their results in these huge datasets.https://www.kdnuggets.com/2019/04/sisense-deep-neural-nets-big-data-analytics.html
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Deep Compression: Optimization Techniques for Inference & Efficiency
We explain deep compression for improved inference efficiency, mobile applications, and regularization as technology cozies up to the physical limits of Moore's law.https://www.kdnuggets.com/2019/03/deep-compression-optimization-techniques-inference-efficiency.html
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Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision
In this blog, I’ll walk you through a personal project in which I cheaply built a classifier to detect anti-semitic tweets, with no public dataset available, by combining weak supervision and transfer learning.https://www.kdnuggets.com/2019/03/building-nlp-classifiers-cheaply-transfer-learning-weak-supervision.html
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My favorite mind-blowing Machine Learning/AI breakthroughs">My favorite mind-blowing Machine Learning/AI breakthroughs
We present some of our favorite breakthroughs in Machine Learning and AI in recent times, complete with papers, video links and brief summaries for each.https://www.kdnuggets.com/2019/03/favorite-ml-ai-breakthroughs.html
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19 Inspiring Women in AI, Big Data, Data Science, Machine Learning">19 Inspiring Women in AI, Big Data, Data Science, Machine Learning
For the 2019 international women's day, we profile a new set of 19 inspiring women who lead the field in AI, Big Data, Data Science, and Machine Learning fields.https://www.kdnuggets.com/2019/03/women-ai-big-data-science-machine-learning.html
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Another 10 Free Must-Read Books for Machine Learning and Data Science">Another 10 Free Must-Read Books for Machine Learning and Data Science
Here's a third set of 10 free books for machine learning and data science. Have a look to see if something catches your eye, and don't forget to check the previous installments for reading material while you're here.https://www.kdnuggets.com/2019/03/another-10-free-must-read-books-for-machine-learning-and-data-science.html
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What are Some “Advanced” AI and Machine Learning Online Courses?
Where can you find not-so-common, but high-quality online courses (Free) for ‘advanced’ machine learning and artificial intelligence?https://www.kdnuggets.com/2019/02/some-advanced-ai-machine-learning-online-courses.html
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State of the art in AI and Machine Learning – highlights of papers with code
We introduce papers with code, the free and open resource of state-of-the-art Machine Learning papers, code and evaluation tables.https://www.kdnuggets.com/2019/02/paperswithcode-ai-machine-learning-highlights.html
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Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms">Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms
We compare Gartner 2019 MQ for Data Science, Machine Learning Platforms to its previous versions and identify notable changes for leaders and challengers, including RapidMiner, KNIME, TIBCO, Alteryx, Dataiku, SAS, and MathWorks.https://www.kdnuggets.com/2019/02/gartner-2019-mq-data-science-machine-learning-changes.html
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Past 2019 Meetings / Conferences on AI, Analytics, Big Data, Data Science, and Machine Learning
Past | 2019 Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Read more »https://www.kdnuggets.com/meetings/past-meetings-2019.html
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Events on Data Science, Machine Learning, AI & Analytics
May • Jun • Jul • Aug • Sep • Q4 To add a free short entry here for an event related to AI, Big Data, Data Science, or Read more »https://www.kdnuggets.com/meetings/index.html
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Five Ways Your Safety Depends on Machine Learning
Eric Siegel tells you about five ways your safety depends on machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.https://www.kdnuggets.com/2019/02/dr-data-five-ways-safety-depends-machine-learning.html
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Machine Learning Security
We take a look at how malicious actors can break machine learning models and what some of the best practices are when it comes to stopping them.https://www.kdnuggets.com/2019/01/machine-learning-security.html
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Automated Machine Learning in Python
An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.https://www.kdnuggets.com/2019/01/automated-machine-learning-python.html
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Comparing Machine Learning Models: Statistical vs. Practical Significance
Is model A or B more accurate? Hmm… In this blog post, I’d love to share my recent findings on model comparison.https://www.kdnuggets.com/2019/01/comparing-machine-learning-models-statistical-vs-practical-significance.html
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The Hundred-Page Machine Learning Book
This book covers supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.https://www.kdnuggets.com/2019/01/hundred-page-machine-learning-book.html
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Data Scientist’s Dilemma: The Cold Start Problem – Ten Machine Learning Examples
We present an array of examples showcasing the cold-start problems in data science where the algorithms and techniques of machine learning produce the good judgment in model progression toward the optimal solution.https://www.kdnuggets.com/2019/01/data-scientist-dilemma-cold-start-machine-learning.html
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How to build an API for a machine learning model in 5 minutes using Flask">How to build an API for a machine learning model in 5 minutes using Flask
Flask is a micro web framework written in Python. It can create a REST API that allows you to send data, and receive a prediction as a response.https://www.kdnuggets.com/2019/01/build-api-machine-learning-model-using-flask.html
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The 6 Most Useful Machine Learning Projects of 2018
Let’s take a look at the top 6 most practically useful ML projects over the past year. These projects have published code and datasets that allow individual developers and smaller teams to learn and immediately create value.https://www.kdnuggets.com/2019/01/6-most-useful-machine-learning-projects-2018.html
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Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated
Stay up-to-date with the latest technological advancements using our extensive list of active blogs; this is a list of 100 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.https://www.kdnuggets.com/2019/01/active-blogs-ai-analytics-data-science.html
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End To End Guide For Machine Learning Projects">End To End Guide For Machine Learning Projects
Let’s imagine you are attempting to work on a machine learning project. This article will provide you with the step to step guide on the process that you can follow to implement a successful project.https://www.kdnuggets.com/2019/01/end-to-end-guide-machine-learning-project.html
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4 Myths of Big Data and 4 Ways to Improve with Deep Data
There is a fundamental misconception that bigger data produces better machine learning results. However bigger data lakes / warehouses won’t necessarily help to discover more profound insights. It is better to focus on data quality, value and diversity not just size. "Deep Data" is better than Big Data.https://www.kdnuggets.com/2019/01/4-myths-big-data-deep-data.html
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Supervised Learning: Model Popularity from Past to Present
An extensive look at the history of machine learning models, using historical data from the number of publications of each type to attempt to answer the question: what is the most popular model?https://www.kdnuggets.com/2018/12/supervised-learning-model-popularity-from-past-present.html
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The Essence of Machine Learning">The Essence of Machine Learning
And so now, as an exercise in what may seem to be semantics, let's explore some 30,000 feet definitions of what machine learning is.https://www.kdnuggets.com/2018/12/essence-machine-learning.html
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A Case For Explainable AI & Machine Learning
In support of the explainable AI cause, we present a variety of use cases covering operational needs, regulatory compliance and public trust and social acceptance.https://www.kdnuggets.com/2018/12/explainable-ai-machine-learning.html
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A Guide to Decision Trees for Machine Learning and Data Science">A Guide to Decision Trees for Machine Learning and Data Science
What makes decision trees special in the realm of ML models is really their clarity of information representation. The “knowledge” learned by a decision tree through training is directly formulated into a hierarchical structure.https://www.kdnuggets.com/2018/12/guide-decision-trees-machine-learning-data-science.html
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Feature Engineering for Machine Learning: 10 Examples
A brief introduction to feature engineering, covering coordinate transformation, continuous data, categorical features, missing values, normalization, and more.https://www.kdnuggets.com/2018/12/feature-engineering-explained.html
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Machine Learning Explainability vs Interpretability: Two concepts that could help restore trust in AI
We explain the key differences between explainability and interpretability and why they're so important for machine learning and AI, before taking a look at several techniques and methods for improving machine learning interpretability.https://www.kdnuggets.com/2018/12/machine-learning-explainability-interpretability-ai.html
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10 More Must-See Free Courses for Machine Learning and Data Science">10 More Must-See Free Courses for Machine Learning and Data Science
Have a look at this follow-up collection of free machine learning and data science courses to give you some winter study ideas.https://www.kdnuggets.com/2018/12/10-more-free-must-see-courses-machine-learning-data-science.html
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Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019">Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019
This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!https://www.kdnuggets.com/2018/12/predictions-industry-2019.html
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Top Stories of 2018: 9 Must-have skills you need to become a Data Scientist, updated; Python eats away at R: Top Software for Analytics, Data Science, Machine Learning
Also 5 Data Science Projects That Will Get You Hired in 2018; Top 20 Python AI and Machine Learning Open Source Projects; Neural network AI is simple. So... Stop pretending you are a genius.https://www.kdnuggets.com/2018/12/top-stories-2018.html
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Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Machine Learning & AI Main Developments in 2018 and Key Trends for 2019
As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2018 and their 2019 key trend predictions.https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html
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Learning Machine Learning vs Learning Data Science">Learning Machine Learning vs Learning Data Science
We clarify some important and often-overlooked distinctions between Machine Learning and Data Science, covering education, scalable vs non-scalable jobs, career paths, and more.https://www.kdnuggets.com/2018/12/learning-machine-learning-data-science.html
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A comprehensive list of Machine Learning Resources: Open Courses, Textbooks, Tutorials, Cheat Sheets and more
A thorough collection of useful resources covering statistics, classic machine learning, deep learning, probability, reinforcement learning, and more.https://www.kdnuggets.com/2018/12/finlayson-machine-learning-resources.html
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The Machine Learning Project Checklist">The Machine Learning Project Checklist
In an effort to further refine our internal models, this post will present an overview of Aurélien Géron's Machine Learning Project Checklist, as seen in his bestselling book, "Hands-On Machine Learning with Scikit-Learn & TensorFlow."https://www.kdnuggets.com/2018/12/machine-learning-project-checklist.html
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Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools
We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields.https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html