Topics: Topic: Machine Learning
This page features most recent and most popular posts on Machine Learning.
Latest posts on Machine Learning
- Mathematics for Machine Learning: The Free eBook - Apr 6, 2020Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.
- More Performance Evaluation Metrics for Classification Problems You Should Know - Apr 3, 2020When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.
- Introduction to the K-nearest Neighbour Algorithm Using Examples - Apr 1, 2020Read this concise summary of KNN, a supervised and pattern classification learning algorithm which helps us find which class the new input belongs to when k nearest neighbours are chosen and distance is calculated between them.
Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs - Apr 1, 2020From network security to financial fraud, anomaly detection helps protect businesses, individuals, and online communities. To help improve anomaly detection, researchers have developed a new approach called MIDAS.- KDnuggets™ News 20:n13, Apr 1: Effective visualizations for pandemic storytelling; Machine learning for time series forecasting - Apr 1, 2020This week, read about the power of effective visualizations for pandemic storytelling; see how (not) to use machine learning for time series forecasting; learn about a deep learning breakthrough: a sub-linear deep learning algorithm that does not need a GPU?; familiarize yourself with how to painlessly analyze your time series; check out what can we learn from the latest coronavirus trends; and... KDnuggets topics?!? Also, much more.
Most popular (badge-winning) recent posts on Machine Learning
- Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs [Gold Blog]From network security to financial fraud, anomaly detection helps protect businesses, individuals, and online communities. To help improve anomaly detection, researchers have developed a new approach called MIDAS.
- How (not) to use Machine Learning for time series forecasting: The sequel [Silver Blog]Developing machine learning predictive models from time series data is an important skill in Data Science. While the time element in the data provides valuable information for your model, it can also lead you down a path that could fool you into something that isn't real. Follow this example to learn how to spot trouble in time series data before it's too late.
- 24 Best (and Free) Books To Understand Machine Learning [Gold Blog]We have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.
- 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2) [Gold Blog]We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.
- Free Mathematics Courses for Data Science & Machine Learning [Gold Blog]It's no secret that mathematics is the foundation of data science. Here are a selection of courses to help increase your maths skills to excel in data science, machine learning, and beyond.
- Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms [Gold Blog]The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.
- 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1) [Gold Blog]2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.
- The Data Science Puzzle — 2020 Edition [Silver Blog]The data science puzzle is once again re-examined through the relationship between several key concepts of the landscape, incorporating updates and observations since last time. Check out the results here.
- The Future of Machine Learning Will Include a Lot Less Engineering [Gold Blog]Despite getting less attention, the systems-level design and engineering challenges in ML are still very important — creating something useful requires more than building good models, it requires building good systems.
- 12-Hour Machine Learning Challenge: Build & deploy an app with Streamlit and DevOps tools [Gold Blog]This article will present the knowledge, process, tools, and frameworks required for completing a 12-hour ML challenge. I hope you can find it useful for your personal or professional projects.
- Data Validation for Machine Learning [Silver Blog]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.
- The Book to Start You on Machine Learning [Gold Blog]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.
- AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020 [Silver Blog]We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.
- AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020 [Gold Blog]As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.
- 10 Free Top Notch Machine Learning Courses [Gold Blog]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.
- Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead [Silver Blog]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.
- Top Machine Learning Software Tools for Developers [Gold Blog]As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.
- Why is Machine Learning Deployment Hard? [Silver Blog]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.
- Which Data Science Skills are core and which are hot/emerging ones? [Gold Blog]We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.
- Explore the world of Bioinformatics with Machine Learning [Gold Blog]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.
- Cartoon: Unsupervised Machine Learning? [Silver Blog]New KDnuggets Cartoon looks at one of the hottest directions in Machine Learning and asks "Can Machine Learning be too unsupervised?"
