Search results for learn R
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How to easily check if your Machine Learning model is fair?
Machine learning models deployed today -- as will many more in the future -- impact people and society directly. With that power and influence resting in the hands of Data Scientists and machine learning engineers, taking the time to evaluate and understand if model results are fair will become the linchpin for the future success of AI/ML solutions. These are critical considerations, and using a recently developed fairness module in the dalex Python package is a unified and accessible way to ensure your models remain fair.https://www.kdnuggets.com/2020/12/machine-learning-model-fair.html
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Top 9 Data Science Courses to Learn Online
Learn Data Science from these top courses. Details like cost and course duration are included.https://www.kdnuggets.com/2020/12/simplilearn-top-9-data-science-courses-online.html
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Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance
A practical deep dive on production monitoring architectures for machine learning at scale using real-time metrics, outlier detectors, drift detectors, metrics servers and explainers.https://www.kdnuggets.com/2020/12/production-machine-learning-monitoring-outliers-drift-explainers-statistical-performance.html
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MLOps Is Changing How Machine Learning Models Are Developed
Delivering machine learning solutions is so much more than the model. Three key concepts covering version control, testing, and pipelines are the foundation for machine learning operations (MLOps) that help data science teams ship models quicker and with more confidence.https://www.kdnuggets.com/2020/12/mlops-changing-machine-learning-developed.html
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Top 2020 Stories: 24 Best (and Free) Books To Understand Machine Learning; If I had to start learning Data Science again, how would I do it?
Also: Know What Employers are Expecting for a Data Scientist Role in 2020; Top Python Libraries for Data Science, Data Visualization & Machine Learning.https://www.kdnuggets.com/2020/12/top-stories-2020.html
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How to use Machine Learning for Anomaly Detection and Conditional Monitoring
This article explains the goals of anomaly detection and outlines the approaches used to solve specific use cases for anomaly detection and condition monitoring.https://www.kdnuggets.com/2020/12/machine-learning-anomaly-detection-conditional-monitoring.html
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Industry 2021 Predictions for AI, Analytics, Data Science, Machine Learning
We bring you industry predictions from 12 innovative companies - what key trends they expect in 2021 in AI, Analytics, Data Science, and Machine Learning?https://www.kdnuggets.com/2020/12/industry-2021-predictions-ai-data-science-machine-learning.html
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Data Science and Machine Learning: The Free eBook
Check out the newest addition to our free eBook collection, Data Science and Machine Learning: Mathematical and Statistical Methods, and start building your statistical learning foundation today.https://www.kdnuggets.com/2020/12/data-science-machine-learning-free-ebook.html
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State of Data Science and Machine Learning 2020: 3 Key Findings">State of Data Science and Machine Learning 2020: 3 Key Findings
Kaggle recently released its State of Data Science and Machine Learning report for 2020, based on compiled results of its annual survey. Read about 3 key findings in the report here.https://www.kdnuggets.com/2020/12/kaggle-survey-2020-data-science-machine-learning.html
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How to Create Custom Real-time Plots in Deep Learning
How to generate real-time visualizations of custom metrics while training a deep learning model using Keras callbacks.https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
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Facebook Open Sources ReBeL, a New Reinforcement Learning Agent
The new model tries to recreate the reinforcement learning and search methods used by AlphaZero in imperfect information scenarios.https://www.kdnuggets.com/2020/12/facebook-open-sources-rebel-new-reinforcement-learning-agent.html
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A Journey from Software to Machine Learning Engineer
In this blog post, the author explains his journey from Software Engineer to Machine Learning Engineer. The focus of the blog post is on the areas that the author wished he'd have focused on during his learning journey, and what should you look for outside of books and courses when pursuing your Machine Learning career.https://www.kdnuggets.com/2020/12/journey-from-software-machine-learning-engineer.html
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Artificial Intelligence in Modern Learning System : E-Learning
There has been a considerable shortage in the supply and demand of AI professionals. If you are looking to learn AI or learn machine learning, you can opt for free online courses offered by Great Learning.https://www.kdnuggets.com/2020/12/greatlearning-ai-modern-learning.html
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Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology
Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html
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Top November Stories: Top Python Libraries for Data Science, Data Visualization & Machine Learning; The Best Data Science Certification You’ve Never Heard Of
Also: TabPy: Combining Python and Tableau; How to Acquire the Most Wanted Data Science Skills.https://www.kdnuggets.com/2020/12/top-stories-2020-nov.html
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5 Free Books to Learn Statistics for Data Science
Learn all the statistics you need for data science for free.https://www.kdnuggets.com/2020/12/5-free-books-learn-statistics-data-science.html
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Pruning Machine Learning Models in TensorFlow
Read this overview to learn how to make your models smaller via pruning.https://www.kdnuggets.com/2020/12/pruning-machine-learning-models-tensorflow.html
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AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021
2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.https://www.kdnuggets.com/2020/12/predictions-ai-machine-learning-data-science-research.html
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Simple & Intuitive Ensemble Learning in R
Read about metaEnsembleR, an R package for heterogeneous ensemble meta-learning (classification and regression) that is fully-automated.https://www.kdnuggets.com/2020/12/simple-intuitive-meta-learning-r.html
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Roadmaps to becoming a Full-Stack AI Developer, Data Scientist, Machine Learning Engineer, and more
As the fields related to AI and Data Science expand, they are becoming complex with more options and specializations to consider. If you are beginning your journey toward becoming an expert in Artificial Intelligence, this roadmap will guide you to find your path along what to learn next while steering clear of the latest hype.https://www.kdnuggets.com/2020/12/roadmaps-ai-developer-data-scientist-machine-learning-engineer.html
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Learn Deep Learning with this Free Course from Yann LeCun">Learn Deep Learning with this Free Course from Yann LeCun
Here is a freely-available NYU course on deep learning to check out from Yann LeCun and Alfredo Canziani, including videos, slides, and other helpful resources.https://www.kdnuggets.com/2020/11/learn-deep-learning-free-course-yann-lecun.html
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How to Know if a Neural Network is Right for Your Machine Learning Initiative
It is important to remember that there must be a business reason for even considering neural nets and it should not be because the C-Suite is feeling a bad case of FOMO.https://www.kdnuggets.com/2020/11/neural-network-right-machine-learning-initiative.html
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Know-How to Learn Machine Learning Algorithms Effectively
The takeaway from the story is that machine learning is way beyond a simple fit and predict methods. The author shares their approach to actually learning these algorithms beyond the surface.https://www.kdnuggets.com/2020/11/learn-machine-learning-algorithms-effectively.html
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The Rise of the Machine Learning Engineer">The Rise of the Machine Learning Engineer
The evolution of Big Data into machine learning applications ushered in an exciting era of new roles and skillsets that became necessary to implement these technologies. With the Machine Learning Engineer being such a crucial component today, where the evolution of this field will take us tomorrow should be fascinating.https://www.kdnuggets.com/2020/11/rise-machine-learning-engineer.html
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How Machine Learning Works for Social Good
We often discuss applying data science and machine learning techniques in term so of how they help your organization or business goals. But, these algorithms aren't limited to only increasing the bottom line. Developing new applications that leverage the predictive power of AI to benefit society and those communities in need is an equally valuable endeavor for Data Scientists that will further expand the positive impact of machine learning to the world.https://www.kdnuggets.com/2020/11/machine-learning-social-good.html
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Adversarial Examples in Deep Learning – A Primer
Bigger compute has led to increasingly impressive deep learning computer vision model SOTA results. However most of these SOTA deep learning models are brought down to their knees when making predictions on adversarial images. Read on to find out more.https://www.kdnuggets.com/2020/11/adversarial-examples-deep-learning-primer.html
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5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use
If you consider yourself a Data Scientist who can take any project from data curation to solution deployment, then you know there are many tools available today to help you get the job done. The trouble is that there are too many choices. Here is a review of five sets of tools that should turn you into the most efficient full-stack data scientist possible.https://www.kdnuggets.com/2020/11/5-useful-machine-learning-tools.html
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Facebook Open Sourced New Frameworks to Advance Deep Learning Research">Facebook Open Sourced New Frameworks to Advance Deep Learning Research
Polygames, PyTorch3D and HiPlot are the new additions to Facebook’s open source deep learning stack.https://www.kdnuggets.com/2020/11/facebook-open-source-frameworks-advance-deep-learning-research.html
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Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision">Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision
This article compiles the 30 top Python libraries for deep learning, natural language processing & computer vision, as best determined by KDnuggets staff.https://www.kdnuggets.com/2020/11/top-python-libraries-deep-learning-natural-language-processing-computer-vision.html
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Learn to build an end to end data science project">Learn to build an end to end data science project
Appreciating the process you must work through for any Data Science project is valuable before you land your first job in this field. With a well-honed strategy, such as the one outlined in this example project, you will remain productive and consistently deliver valuable machine learning models.https://www.kdnuggets.com/2020/11/build-data-science-project.html
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Predicting Heart Disease Using Machine Learning? Don’t!
I believe the “Predicting Heart Disease using Machine Learning” is a classic example of how not to apply machine learning to a problem, especially where a lot of domain experience is required.https://www.kdnuggets.com/2020/11/predicting-heart-disease-machine-learning.html
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Moving from Data Science to Machine Learning Engineering
The world of machine learning — and software — is changing. Read this article to find out how, and what you can do to stay ahead of it.https://www.kdnuggets.com/2020/11/moving-data-science-machine-learning-engineering.html
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My Data Science Online Learning Journey on Coursera
Check out the author's informative list of courses and specializations on Coursera taken to get started on their data science and machine learning journey.https://www.kdnuggets.com/2020/11/data-science-online-learning-journey-coursera.html
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Doing the impossible? Machine learning with less than one example
Machine learning algorithms are notoriously known for needing data, a lot of data -- the more data the better. But, much research has gone into developing new methods that need fewer examples to train a model, such as "few-shot" or "one-shot" learning that require only a handful or a few as one example for effective learning. Now, this lower boundary on training examples is being taken to the next extreme.https://www.kdnuggets.com/2020/11/machine-learning-less-than-one-example.html
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Top 5 Free Machine Learning and Deep Learning eBooks Everyone should read">Top 5 Free Machine Learning and Deep Learning eBooks Everyone should read
There is always so much new to learn in machine learning, and keeping well grounded in the fundamentals will help you stay up-to-date with the latest advancements while acing your career in Data Science.https://www.kdnuggets.com/2020/11/top-5-free-machine-learning-deep-learning-ebooks.html
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Interpretability, Explainability, and Machine Learning – What Data Scientists Need to Know
The terms “interpretability,” “explainability” and “black box” are tossed about a lot in the context of machine learning, but what do they really mean, and why do they matter?https://www.kdnuggets.com/2020/11/interpretability-explainability-machine-learning.html
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KDnuggets™ News 20:n42, Nov 4: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis
Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more.https://www.kdnuggets.com/2020/n42.html
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Building Deep Learning Projects with fastai — From Model Training to Deployment
A getting started guide to develop computer vision application with fastai.https://www.kdnuggets.com/2020/11/building-deep-learning-projects-fastai-model-training-deployment.html
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Data scientist or machine learning engineer? Which is a better career option?
In order to build automated data processing systems, we require professionals like Machine Learning Engineers and Data Scientists. But which of these is a better career option right now? Read on to find out.https://www.kdnuggets.com/2020/11/greatlearning-data-scientist-machine-learning-engineer.html
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Microsoft and Google Open Sourced These Frameworks Based on Their Work Scaling Deep Learning Training
Google and Microsoft have recently released new frameworks for distributed deep learning training.https://www.kdnuggets.com/2020/11/microsoft-google-open-sourced-frameworks-scaling-deep-learning-training.html
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How to Make Sense of the Reinforcement Learning Agents?
In this blog post, you’ll learn what to keep track of to inspect/debug your agent learning trajectory. I’ll assume you are already familiar with the Reinforcement Learning (RL) agent-environment setting and you’ve heard about at least some of the most common RL algorithms and environments.https://www.kdnuggets.com/2020/10/make-sense-reinforcement-learning-agents.html
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Dealing with Imbalanced Data in Machine Learning
This article presents tools & techniques for handling data when it's imbalanced.https://www.kdnuggets.com/2020/10/imbalanced-data-machine-learning.html
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Can AI Learn Human Values?
OpenAI believes that the path to safe AI requires social sciences.https://www.kdnuggets.com/2020/10/ai-learn-human-values.html
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Top Stories, Oct 19-25: How to Explain Key Machine Learning Algorithms at an Interview; Roadmap to Natural Language Processing
Also: Roadmap to Natural Language Processing (NLP); 5 Must-Read Data Science Papers (and How to Use Them); DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models; Good-bye Big Data. Hello, Massive Data!https://www.kdnuggets.com/2020/10/top-news-week-1019-1025.html
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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
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Behavior Analysis with Machine Learning and R: The free eBook
Check out this new free ebook to learn how to leverage the power of machine learning to analyze behavioral patterns from sensor data and electronic records using R.https://www.kdnuggets.com/2020/10/behavior-analysis-machine-learning-r-free-ebook.html
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Feature Ranking with Recursive Feature Elimination in Scikit-Learn
This article covers using scikit-learn to obtain the optimal number of features for your machine learning project.https://www.kdnuggets.com/2020/10/feature-ranking-recursive-feature-elimination-scikit-learn.html
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How to Explain Key Machine Learning Algorithms at an Interview">How to Explain Key Machine Learning Algorithms at an Interview
While preparing for interviews in Data Science, it is essential to clearly understand a range of machine learning models -- with a concise explanation for each at the ready. Here, we summarize various machine learning models by highlighting the main points to help you communicate complex models.https://www.kdnuggets.com/2020/10/explain-machine-learning-algorithms-interview.html
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Deep Learning for Virtual Try On Clothes – Challenges and Opportunities
Learn about the experiments by MobiDev for transferring 2D clothing items onto the image of a person. As part of their efforts to bring AR and AI technologies into virtual fitting room development, they review the deep learning algorithms and architecture under development and the current state of results.https://www.kdnuggets.com/2020/10/deep-learning-virtual-try-clothes.html
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Machine Learning’s Greatest Omission: Business Leadership
Eric Siegel's business-oriented, vendor-neutral machine learning course is designed to fulfill vital unmet learner needs, delivering material critical for both techies and business leaders.https://www.kdnuggets.com/2020/10/machine-learning-omission-business-leadership.html
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Top September Stories: Free From MIT: Intro to Computer Science and Programming in Python; Best Online MS in AI, Analytics, Data Science, Machine Learning
Also: Introduction to Time Series Analysis in Python; Automating Every Aspect of Your Python Projecthttps://www.kdnuggets.com/2020/10/top-stories-2020-sep.html
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Uber Open Sources the Third Release of Ludwig, its Code-Free Machine Learning Platform
The new release makes Ludwig one of the most complete open source AutoML stacks in the market.https://www.kdnuggets.com/2020/10/uber-open-source-ludwig-code-free-machine-learning-platform.html
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5 Best Practices for Putting Machine Learning Models Into Production
Our focus for this piece is to establish the best practices that make an ML project successful.https://www.kdnuggets.com/2020/10/5-best-practices-machine-learning-models-production.html
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Annotated Machine Learning Research Papers">Annotated Machine Learning Research Papers
Check out this collection of annotated machine learning research papers, and no longer fear their reading.https://www.kdnuggets.com/2020/10/annotated-machine-learning-research-papers.html
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6 Lessons Learned in 6 Months as a Data Scientist
When transitioning into a Data Science career, a new mindset toward collaboration, data, and reporting is required. Learn from these recommendations on approaches you should consider to successfully develop into your dream job.https://www.kdnuggets.com/2020/10/6-lessons-6-months-data-scientist.html
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How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems">How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems
LinkedIn uses some very innovative machine learning techniques to optimize candidate recommendations.https://www.kdnuggets.com/2020/10/linkedin-machine-learning-recruiter-recommendation-systems.html
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Free Introductory Machine Learning Course From Amazon">Free Introductory Machine Learning Course From Amazon
Amazon's Machine Learning University offers an introductory course titled Accelerated Machine Learning, which is a good starting place for those looking for a foundation in generalized practical ML.https://www.kdnuggets.com/2020/10/machine-learning-free-course-amazon.html
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5 Challenges to Scaling Machine Learning Models
ML models are hard to be translated into active business gains. In order to understand the common pitfalls in productionizing ML models, let’s dive into the top 5 challenges that organizations face.https://www.kdnuggets.com/2020/10/5-challenges-scaling-machine-learning-models.html
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10 Best Machine Learning Courses in 2020">10 Best Machine Learning Courses in 2020
If you are ready to take your career in machine learning to the next level, then these top 10 Machine Learning Courses covering both practical and theoretical work will help you excel.https://www.kdnuggets.com/2020/10/10-best-machine-learning-courses-2020.html
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Key Machine Learning Technique: Nested Cross-Validation, Why and How, with Python code
Selecting the best performing machine learning model with optimal hyperparameters can sometimes still end up with a poorer performance once in production. This phenomenon might be the result of tuning the model and evaluating its performance on the same sets of train and test data. So, validating your model more rigorously can be key to a successful outcome.https://www.kdnuggets.com/2020/10/nested-cross-validation-python.html
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Machine Learning Model Deployment
Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model deployment.https://www.kdnuggets.com/2020/09/machine-learning-model-deployment.html
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KDnuggets™ News 20:n37, Sep 30: Introduction to Time Series Analysis in Python; How To Improve Machine Learning Model Accuracy
Learn how to work with time series in Python; Tips for improving Machine Learning model accuracy from 80% to over 90%; Geographical Plots with Python; Best methods for making Python programs blazingly fast; Read a complete guide to PyTorch; KDD Best Paper Awards and more.https://www.kdnuggets.com/2020/n37.html
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International alternatives to Kaggle for Data Science / Machine Learning competitions
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win.https://www.kdnuggets.com/2020/09/international-alternatives-kaggle-data-science-competitions.html
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Top Stories, Sep 21-27: Introduction to Time Series Analysis in Python; Machine Learning from Scratch: Free Online Textbook
Also: How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy; I'm a Data Scientist, Not Just The Tiny Hands that Crunch your Data; New Poll: What Python IDE / Editor you used the most in 2020?; The Most Complete Guide to PyTorch for Data Scientistshttps://www.kdnuggets.com/2020/09/top-news-week-0921-0927.html
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LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at Scale
The reference architecture is powering mission critical machine learning workflows within LinkedIn.https://www.kdnuggets.com/2020/09/linkedin-pro-ml-architecture-best-practices-building-machine-learning-scale.html
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How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy">How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy
Data science work typically requires a big lift near the end to increase the accuracy of any model developed. These five recommendations will help improve your machine learning models and help your projects reach their target goals.https://www.kdnuggets.com/2020/09/improve-machine-learning-models-accuracy.html
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MathWorks Deep learning workflow: tips, tricks, and often forgotten steps
Getting started in deep learning – and adopting an organized, sustainable, and reproducible workflow – can be challenging. This blog post will share some tips and tricks to help you develop a systematic, effective, attainable, and scalable deep learning workflow as you experiment with different deep learning models, datasets, and applications.https://www.kdnuggets.com/2020/09/mathworks-deep-learning-workflow.html
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Machine Learning from Scratch: Free Online Textbook">Machine Learning from Scratch: Free Online Textbook
If you are looking for a machine learning starter that gets right to the core of the concepts and the implementation, then this new free textbook will help you dive in to ML engineering with ease. By focusing on the basics of the underlying algorithms, you will be quickly up and running with code you construct yourself.https://www.kdnuggets.com/2020/09/machine-learning-from-scratch-free-online-textbook.html
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The Insiders’ Guide to Generative and Discriminative Machine Learning Models
In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another.https://www.kdnuggets.com/2020/09/insiders-guide-generative-discriminative-machine-learning-models.html
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Implementing a Deep Learning Library from Scratch in Python">Implementing a Deep Learning Library from Scratch in Python
A beginner’s guide to understanding the fundamental building blocks of deep learning platforms.https://www.kdnuggets.com/2020/09/implementing-deep-learning-library-scratch-python.html
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Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities
We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html
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Autograd: The Best Machine Learning Library You’re Not Using?">Autograd: The Best Machine Learning Library You’re Not Using?
If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.https://www.kdnuggets.com/2020/09/autograd-best-machine-learning-library-not-using.html
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Deep Learning’s Most Important Ideas">Deep Learning’s Most Important Ideas
In the field of deep learning, there continues to be a deluge of research and new papers published daily. Many well-adopted ideas that have stood the test of time provide the foundation for much of this new work. To better understand modern deep learning, these techniques cover the basic necessary knowledge, especially as a starting point if you are new to the field.https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html
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Top August Stories: Know What Employers are Expecting for a Data Scientist Role in 2020; If I had to start learning Data Science again, how would I do it?
Also: Netflix's Polynote is a New Open Source Framework to Build Better Data Science Notebooks; Must-read NLP and Deep Learning articles for Data Scientists.https://www.kdnuggets.com/2020/09/top-stories-2020-aug.html
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8 AI/Machine Learning Projects To Make Your Portfolio Stand Out">8 AI/Machine Learning Projects To Make Your Portfolio Stand Out
If you are just starting down a path toward a career in Data Science, or you are already a seasoned practitioner, then keeping active to advance your experience through side projects is invaluable to take you to the next professional level. These eight interesting project ideas with source code and reference articles will jump start you to thinking outside of the box.https://www.kdnuggets.com/2020/09/8-ml-ai-projects-stand-out.html
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A Deep Learning Dream: Accuracy and Interpretability in a Single Model
IBM Research believes that you can improve the accuracy of interpretable models with knowledge learned in pre-trained models.https://www.kdnuggets.com/2020/09/deep-learning-dream-accuracy-interpretability-single-model.html
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Book Chapter: The Art of Statistics: Learning from Data
Get a free book chapter from "The Art of Statistics: Learning from Data" by a leading researcher Sir David John Spiegelhalter. This excerpt takes a forensic look at data surrounding the victims of the UK most prolific serial killer and shows how a simple search for patterns reveals critical details.https://www.kdnuggets.com/2020/09/jmp-art-statistics-learning-from-data.html
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How to Evaluate the Performance of Your Machine Learning Model">How to Evaluate the Performance of Your Machine Learning Model
You can train your supervised machine learning models all day long, but unless you evaluate its performance, you can never know if your model is useful. This detailed discussion reviews the various performance metrics you must consider, and offers intuitive explanations for what they mean and how they work.https://www.kdnuggets.com/2020/09/performance-machine-learning-model.html
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10 Things You Didn’t Know About Scikit-Learn
Check out these 10 things you didn’t know about Scikit-Learn... until now.https://www.kdnuggets.com/2020/09/10-things-know-scikit-learn.html
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Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune
With ML models serving real people, misclassified cases (which are a natural consequence of using ML) are affecting peoples’ lives and sometimes treating them very unfairly. It makes the ability to explain your models’ predictions a requirement rather than just a nice to have.https://www.kdnuggets.com/2020/08/explainable-reproducible-machine-learning-model-development-dalex-neptune.html
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Breaking Privacy in Federated Learning
Despite the benefits of federated learning, there are still ways of breaching a user’s privacy, even without sharing private data. In this article, we’ll review some research papers that discuss how federated learning includes this vulnerability.https://www.kdnuggets.com/2020/08/breaking-privacy-federated-learning.html
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Unifying Data Pipelines and Machine Learning with Apache Spark™ and Amazon SageMaker
Roll up your sleeves and charge up because you’re invited to an interactive, virtual Machine Learning workshop run by Amazon Web Services, Databricks, and Immuta on September 10.https://www.kdnuggets.com/2020/08/immuta-data-pipelines-machine-learning-apache-spark-amazon-sagemaker.html
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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
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Must-read NLP and Deep Learning articles for Data Scientists">Must-read NLP and Deep Learning articles for Data Scientists
NLP and deep learning continue to advance, nearly on a daily basis. Check out these recent must-read guides, feature articles, and other resources to keep you on top of the latest advancements and ahead of the curve.https://www.kdnuggets.com/2020/08/must-read-nlp-deep-learning-articles.html
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Introduction to Federated Learning">Introduction to Federated Learning
Federated learning means enabling on-device training, model personalization, and more. Read more about it in this article.https://www.kdnuggets.com/2020/08/introduction-federated-learning.html
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Top Google AI, Machine Learning Tools for Everyone">Top Google AI, Machine Learning Tools for Everyone
Google is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.https://www.kdnuggets.com/2020/08/top-google-ai-machine-learning-tools.html
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How Do Neural Networks Learn?
With neural networks being so popular today in AI and machine learning development, they can still look like a black box in terms of how they learn to make predictions. To understand what is going on deep in these networks, we must consider how neural networks perform optimization.https://www.kdnuggets.com/2020/08/how-neural-networks-learn.html
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Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning Models
A research from Facebook proposes a Beyasian optimization method to run A/B tests in machine learning models.https://www.kdnuggets.com/2020/08/facebook-bayesian-optimization-better-experiments-machine-learning.html
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Metrics to Use to Evaluate Deep Learning Object Detectors
It's important to understand which metric should be used to evaluate trained object detectors and which one is more important. Is mAP alone enough to evaluate the objector models? Can the same metric be used to evaluate object detectors on validation set and test set?https://www.kdnuggets.com/2020/08/metrics-evaluate-deep-learning-object-detectors.html
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Awesome Machine Learning and AI Courses">Awesome Machine Learning and AI Courses
Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures.https://www.kdnuggets.com/2020/07/awesome-machine-learning-ai-courses.html
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A Tour of End-to-End Machine Learning Platforms
An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!https://www.kdnuggets.com/2020/07/tour-end-to-end-machine-learning-platforms.html
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Why You Should Get Google’s New Machine Learning Certificate
Google is offering a new ML Engineer certificate, geared towards professionals who want to display their competency in topics like distributed model training and scaling to production. Is it worth it?https://www.kdnuggets.com/2020/07/googles-new-machine-learning-certificate.html
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Essential Resources to Learn Bayesian Statistics">Essential Resources to Learn Bayesian Statistics
If you are interesting in becoming better at statistics and machine learning, then some time should be invested in diving deeper into Bayesian Statistics. While the topic is more advanced, applying these fundamentals to your work will advance your understanding and success as an ML expert.https://www.kdnuggets.com/2020/07/essential-resources-learn-bayesian-statistics.html
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Deep Learning for Signal Processing: What You Need to Know
Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. And now, signal processing is starting to make some waves in deep learning.https://www.kdnuggets.com/2020/07/deep-learning-signal-processing.html
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Why would you put Scikit-learn in the browser?
Honestly? I don’t know. But I do think WebAssembly is a good target for ML/AI deployment (in the browser and beyond).https://www.kdnuggets.com/2020/07/why-put-scikit-learn-browser.html
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What I learned from looking at 200 machine learning tools
While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software.https://www.kdnuggets.com/2020/07/200-machine-learning-tools.html
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Data Mining and Machine Learning: Fundamental Concepts and Algorithms: The Free eBook
The second edition of Data Mining and Machine Learning: Fundamental Concepts and Algorithms is available to read freely online, and includes a new part on regression with chapters on linear regression, logistic regression, neural networks, deep learning and regression assessment.https://www.kdnuggets.com/2020/07/data-mining-machine-learning-free-ebook.html
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Recurrent Neural Networks (RNN): Deep Learning for Sequential Data
Recurrent Neural Networks can be used for a number of ways such as detecting the next word/letter, forecasting financial asset prices in a temporal space, action modeling in sports, music composition, image generation, and more.https://www.kdnuggets.com/2020/07/rnn-deep-learning-sequential-data.html
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Wrapping Machine Learning Techniques Within AI-JACK Library in R">Wrapping Machine Learning Techniques Within AI-JACK Library in R
The article shows an approach to solving problem of selecting best technique in machine learning. This can be done in R using just one library called AI-JACK and the article shows how to use this tool.https://www.kdnuggets.com/2020/07/wrapping-machine-learning-techniques-ai-jack-library-r.html
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Math and Architectures of Deep Learning!
This hands-on book bridges the gap between theory and practice, showing you the math of deep learning algorithms side by side with an implementation in PyTorch. Save 50% with code kdarch50.https://www.kdnuggets.com/2020/07/manning-math-architectures-deep-learning.html
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The Bitter Lesson of Machine Learning">The Bitter Lesson of Machine Learning
Since that renowned conference at Dartmouth College in 1956, AI research has experienced many crests and troughs of progress through the years. From the many lessons learned during this time, some have needed to be re-learned -- repeatedly -- and the most important of which has also been the most difficult to accept by many researchers.https://www.kdnuggets.com/2020/07/bitter-lesson-machine-learning.html
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Auto Rotate Images Using Deep Learning
Follow these 5 simple steps to auto rotate images and get the right angle in human photos using computer vision.https://www.kdnuggets.com/2020/07/auto-rotate-images-deep-learning.html
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Deep Learning in Finance: Is This The Future of the Financial Industry?
Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.https://www.kdnuggets.com/2020/07/deep-learning-finance-future-financial-industry.html
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Why Learn Python? Here Are 8 Data-Driven Reasons
Through this blog, I will list out the major reasons why you should learn Python and the 8 major data-driven reasons for learning it.https://www.kdnuggets.com/2020/07/learn-python-8-data-driven-reasons.html
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Some Things Uber Learned from Running Machine Learning at Scale
Uber machine learning runtime Michelangelo has been in operation for a few years. What has the Uber team learned?https://www.kdnuggets.com/2020/07/some-things-uber-learned-machine-learning-scale.html
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5th International Summer School 2020 on Resource-aware Machine Learning (REAML)
The Resource-aware Machine Learning summer school provides lectures on the latest research in machine learning, with the twist on resource consumption and how these can be reduced. This year it will be held online between 31st of August and 4th of September, and is free of charge. Register now.https://www.kdnuggets.com/2020/07/tu-dortmund-summer-school-2020-reaml.html
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PyTorch for Deep Learning: The Free eBook
For this week's free eBook, check out the newly released Deep Learning with PyTorch from Manning, made freely available via PyTorch's website for a limited time. Grab it now!https://www.kdnuggets.com/2020/07/pytorch-deep-learning-free-ebook.html
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Deploy Machine Learning Pipeline on AWS Fargate">Deploy Machine Learning Pipeline on AWS Fargate
A step-by-step beginner’s guide to containerize and deploy ML pipeline serverless on AWS Fargate.https://www.kdnuggets.com/2020/07/deploy-machine-learning-pipeline-aws-fargate.html
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An Introduction to Statistical Learning: The Free eBook
This week's free eBook is a classic of data science, An Introduction to Statistical Learning, with Applications in R. If interested in picking up elementary statistical learning concepts, and learning how to implement them in R, this book is for you.https://www.kdnuggets.com/2020/06/introduction-statistical-learning-free-ebook.html
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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
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Machine Learning Engineer vs Data Scientist (Is Data Science Over?)
What has been happening to the definition of Data Scientist over the past 5 years? Does it still exist or has it morphed into a new version of its old self? Learn more about the recent trends in job descriptions and salaries for data scientists, ML engineers, and others to best understand the best fit for your career trajectory and interests.https://www.kdnuggets.com/2020/06/machine-learning-engineer-vs-data-scientist.html
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Machine Learning in Dask
In this piece, we’ll see how we can use Dask to work with large datasets on our local machines.https://www.kdnuggets.com/2020/06/machine-learning-dask.html
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Graph Machine Learning in Genomic Prediction
This work explores how genetic relationships can be exploited alongside genomic information to predict genetic traits with the aid of graph machine learning algorithms.https://www.kdnuggets.com/2020/06/graph-machine-learning-genomic-prediction.html
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A Classification Project in Machine Learning: a gentle step-by-step guide
Classification is a core technique in the fields of data science and machine learning that is used to predict the categories to which data should belong. Follow this learning guide that demonstrates how to consider multiple classification models to predict data scrapped from the web.https://www.kdnuggets.com/2020/06/classification-project-machine-learning-guide.html
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Crop Disease Detection Using Machine Learning and Computer Vision
Computer vision has tremendous promise for improving crop monitoring at scale. We present our learnings from building such models for detecting stem and wheat rust in crops.https://www.kdnuggets.com/2020/06/crop-disease-detection-computer-vision.html
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Best Machine Learning Youtube Videos Under 10 Minutes
The Youtube videos on this list cover concepts such as what machine learning is, the basics of natural language processing, how computer vision works, and machine learning in video games.https://www.kdnuggets.com/2020/06/best-machine-learning-youtube-videos-under-10-minutes.html
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A Complete guide to Google Colab for Deep Learning">A Complete guide to Google Colab for Deep Learning
Google Colab is a widely popular cloud service for machine learning that features free access to GPU and TPU computing. Follow this detailed guide to help you get up and running fast to develop your next deep learning algorithms with Colab.https://www.kdnuggets.com/2020/06/google-colab-deep-learning.html
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Simplified Mixed Feature Type Preprocessing in Scikit-Learn with Pipelines
There is a quick and easy way to perform preprocessing on mixed feature type data in Scikit-Learn, which can be integrated into your machine learning pipelines.https://www.kdnuggets.com/2020/06/simplifying-mixed-feature-type-preprocessing-scikit-learn-pipelines.html
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Uber’s Ludwig is an Open Source Framework for Low-Code Machine Learning">Uber’s Ludwig is an Open Source Framework for Low-Code Machine Learning
The new framework allow developers with minimum experience to create and train machine learning models.https://www.kdnuggets.com/2020/06/uber-ludwig-open-source-framework-machine-learning.html
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Understanding Machine Learning: The Free eBook">Understanding Machine Learning: The Free eBook
Time to get back to basics. This week we have a look at a book on foundational machine learning concepts, Understanding Machine Learning: From Theory to Algorithms.https://www.kdnuggets.com/2020/06/understanding-machine-learning-free-ebook.html
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Deploy a Machine Learning Pipeline to the Cloud Using a Docker Container
In this tutorial, we will use a previously-built machine learning pipeline and Flask app to demonstrate how to deploy a machine learning pipeline as a web app using the Microsoft Azure Web App Service.https://www.kdnuggets.com/2020/06/deploy-machine-learning-pipeline-cloud-docker.html
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Upgrading the Brand Mobile App with Machine Learning
The tech progress in mobile app development, as well as digital enhancements, have created new chances for brands to allure and retain customers. In bridging the individualization gap, Machine Learning comes to the rescue.https://www.kdnuggets.com/2020/06/upgrading-brand-mobile-app-machine-learning.html
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How to make AI/Machine Learning models resilient during COVID-19 crisis
COVID-19-driven concept shift has created concern over the usage of AI/ML to continue to drive business value following cases of inaccurate outputs and misleading results from a variety of fields. Data Science teams must invest effort in post-model tracking and management as well as deploy an agility in the AI/ML process to curb problems related to concept shift.https://www.kdnuggets.com/2020/06/ai-ml-models-resilient-covid-19-crisis.html
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Math and Architectures of Deep Learning
This hands-on book bridges the gap between theory and practice, showing you the math of deep learning algorithms side by side with an implementation in PyTorch. Save 40% off Math and Architectures of Deep Learning with code nlkdarch40https://www.kdnuggets.com/2020/06/manning-math-architectures-deep-learning.html
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Top May Stories: The Best NLP with Deep Learning Course is Free
Also: How to Think Like a Data Scientist; Python For Everybody: The Free eBook; Automated Machine Learning: The Free eBook.https://www.kdnuggets.com/2020/06/top-stories-2020-may.html
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GPT-3, a giant step for Deep Learning and NLP?
Recently, OpenAI announced a new successor to their language model, GPT-3, that is now the largest model trained so far with 175 billion parameters. Training a language model this large has its merits and limitations, so this article covers some of its most interesting and important aspects.https://www.kdnuggets.com/2020/06/gpt-3-deep-learning-nlp.html
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Deep Learning for Detecting Pneumonia from X-ray Images">Deep Learning for Detecting Pneumonia from X-ray Images
This article covers an end to end pipeline for pneumonia detection from X-ray images.https://www.kdnuggets.com/2020/06/deep-learning-detecting-pneumonia-x-ray-images.html
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Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June
Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.https://www.kdnuggets.com/2020/06/upcoming-webinars-online-events-june.html
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Machine Learning Experiment Tracking
Why is experiment tracking so important for doing real world machine learning?https://www.kdnuggets.com/2020/06/machine-learning-experiment-tracking.html
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Deep Learning for Coders with fastai and PyTorch: The Free eBook">Deep Learning for Coders with fastai and PyTorch: The Free eBook
If you are interested in a top-down, example-driven book on deep learning, check out the draft of the upcoming Deep Learning for Coders with fastai & PyTorch from fast.ai team.https://www.kdnuggets.com/2020/06/fastai-book-free-ebook.html