Search results for deep learning
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Mathematics for Machine Learning: The Free eBook
Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.https://www.kdnuggets.com/2020/04/mathematics-machine-learning-book.html
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7 Steps to Mastering Machine Learning with Python in 2022
Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.https://www.kdnuggets.com/2022/02/7-steps-mastering-machine-learning-python.html
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Top 5 Machine Learning Practices Recommended by Experts
This article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.https://www.kdnuggets.com/2022/09/top-5-machine-learning-practices-recommended-experts.html
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Top Posts September 19-25: 7 Machine Learning Portfolio Projects to Boost the Resume
7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solvedhttps://www.kdnuggets.com/2022/09/top-posts-week-0919-0925.html
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7 Machine Learning Portfolio Projects to Boost the Resume
Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.https://www.kdnuggets.com/2022/09/7-machine-learning-portfolio-projects-boost-resume.html
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Everything You’ve Ever Wanted to Know About Machine Learning
Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.https://www.kdnuggets.com/2022/09/everything-youve-ever-wanted-to-know-about-machine-learning.html
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Machine Learning Metadata Store
In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html
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Machine Learning Over Encrypted Data
This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.https://www.kdnuggets.com/2022/08/machine-learning-encrypted-data.html
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The Evolution From Artificial Intelligence to Machine Learning to Data Science
By the end of this article, you should be able to distinguish between these concepts.https://www.kdnuggets.com/2022/08/evolution-artificial-intelligence-machine-learning-data-science.html
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Best Instagram Accounts to Follow for Data Science, Machine Learning & AI
I have put this blog together to help you figure out what Instagram accounts you should follow to get the best Data Science, Machine Learning, and Artificial Intelligence content.https://www.kdnuggets.com/2022/08/best-instagram-accounts-follow-data-science-machine-learning-ai.html
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Why Emily Ekdahl chose co:rise to level up her job performance as a machine learning engineer
Find out what one of the first learners to complete the co:rise Machine Learning Foundations track said about her experience in the track and what she’s tackling next when she recently talked to Julia Stiglitz, co:rise co-founder and CEO.https://www.kdnuggets.com/2022/08/corise-emily-ekdahl-chose-corise-level-job-performance-machine-learning-engineer.html
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Is Domain Knowledge Important for Machine Learning?
If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.https://www.kdnuggets.com/2022/07/domain-knowledge-important-machine-learning.html
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The Difficulty of Estimating the Carbon Footprint of Machine Learning
Is machine learning killing the planet? Probably not, but let's make sure it doesn't.https://www.kdnuggets.com/2022/07/difficulty-estimating-carbon-footprint-machine-learning.html
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KDnuggets News, July 20: Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python
Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python; Free Python Automation Course; How Does Logistic Regression Work?; 12 Most Challenging Data Science Interview Questionshttps://www.kdnuggets.com/2022/n29.html
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Boosting Machine Learning Algorithms: An Overview
The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.https://www.kdnuggets.com/2022/07/boosting-machine-learning-algorithms-overview.html
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Machine Learning Model Management
The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.https://www.kdnuggets.com/2022/07/machine-learning-model-management.html
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Linear Machine Learning Algorithms: An Overview
In this article, we’ll discuss several linear algorithms and their concepts.https://www.kdnuggets.com/2022/07/linear-machine-learning-algorithms-overview.html
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KDnuggets News, June 22: Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy
Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Toolshttps://www.kdnuggets.com/2022/n25.html
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Primary Supervised Learning Algorithms Used in Machine Learning
In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.https://www.kdnuggets.com/2022/06/primary-supervised-learning-algorithms-used-machine-learning.html
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KDnuggets News, June 15: 14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model
14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groupshttps://www.kdnuggets.com/2022/n24.html
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Python For Machine Learning: eBook Review
The guide to writing production-ready Python code for machine learning projects.https://www.kdnuggets.com/2022/06/python-machine-learning-ebook-review.html
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Every Engineer Should and Can Learn Machine Learning
Read this interview with Sourabh Bajaj of co:rise, discussing the evolution of the ML role, how he designed the course to connect with today’s business needs, and how he thinks students can apply the covered topics at the end of each course!https://www.kdnuggets.com/2022/06/corise-every-engineer-learn-machine-learning.html
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How is Data Mining Different from Machine Learning?
How about we take a closer look at data mining and machine learning so we know how to catch their different ends?https://www.kdnuggets.com/2022/06/data-mining-different-machine-learning.html
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How to Become a Machine Learning Engineer
A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.https://www.kdnuggets.com/2022/05/become-machine-learning-engineer.html
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Data Science, Statistics and Machine Learning Dictionary
Check out this curated list of the most used data science terminology and get a leg up on your learning.https://www.kdnuggets.com/2022/05/data-science-statistics-machine-learning-dictionary.html
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Operationalizing Machine Learning from PoC to Production
Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.https://www.kdnuggets.com/2022/05/operationalizing-machine-learning-poc-production.html
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The 6 Python Machine Learning Tools Every Data Scientist Should Know About
Let's look at six must-have tools every data scientist should use.https://www.kdnuggets.com/2022/05/6-python-machine-learning-tools-every-data-scientist-know.html
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KDnuggets News, May 18: 5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management
5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?https://www.kdnuggets.com/2022/n20.html
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Popular Machine Learning Algorithms
This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.https://www.kdnuggets.com/2022/05/popular-machine-learning-algorithms.html
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Reinforcement Learning for Newbies
A simple guide to reinforcement learning for a complete beginner. The blog includes definitions with examples, real-life applications, key concepts, and various types of learning resources.https://www.kdnuggets.com/2022/05/reinforcement-learning-newbies.html
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5 Free Hosting Platform For Machine Learning Applications
Learn about the free and easy-to-deploy hosting platform for your machine learning projects.https://www.kdnuggets.com/2022/05/5-free-hosting-platform-machine-learning-applications.html
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Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis
While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.https://www.kdnuggets.com/2022/05/machine-learning-sweet-spot-pure-approaches-nlp-document-analysis.html
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Machine Learning Key Terms, Explained
Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.https://www.kdnuggets.com/2016/05/machine-learning-key-terms-explained.html
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Machine Learning Is Not Like Your Brain Part One: Neurons Are Slow, Slow, Slow
Artificial intelligence is not all that intelligent. While today’s AI can do some extraordinary things, the functionality underlying its accomplishments has very little to do with the way in which a human brain works to achieve the same tasks.https://www.kdnuggets.com/2022/04/machine-learning-like-brain-part-one-neurons-slow-slow-slow.html
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Machine Learning Books You Need To Read In 2022
I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.https://www.kdnuggets.com/2022/04/machine-learning-books-need-read-2022.html
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KDnuggets News 22:n16, Apr 20: Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn
Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn; Deploy a Machine Learning Web App with Heroku; How to Ace Data Science Assessment Test by Using Automatic EDA Tools; Will DeepMind’s AlphaCode Replace Programmers?https://www.kdnuggets.com/2022/n16.html
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Top YouTube Channels for Learning Data Science
YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.https://www.kdnuggets.com/2022/04/top-youtube-channels-learning-data-science.html
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Will DeepMind’s AlphaCode Replace Programmers?
New milestone achieved by AlphaCode in competitive programming. Should software engineers fear for their jobs? Will AI replace us or assist us?https://www.kdnuggets.com/2022/04/deepmind-alphacode-replace-programmers.html
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The Significance of Data Quality in Making a Successful Machine Learning Model
Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.https://www.kdnuggets.com/2022/03/significance-data-quality-making-successful-machine-learning-model.html
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KDnuggets News March 9, 2022: Build a Machine Learning Web App in 5 Minutes; 5 Applications of Computer Vision
This week's top posts are: Build a Machine Learning Web App in 5 Minutes by Natassha Selvaraj; 5 Applications of Computer Vision by Devin Partida; 5 Data Science Projects to Learn 5 Critical Data Science Skills by Nate Rosidihttps://www.kdnuggets.com/2022/n10.html
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Top 3 Free Resources to Learn Linear Algebra for Machine Learning
This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.https://www.kdnuggets.com/2022/03/top-3-free-resources-learn-linear-algebra-machine-learning.html
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How to Create a Dataset for Machine Learning
Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?https://www.kdnuggets.com/2022/02/create-dataset-machine-learning.html
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PyTorch or TensorFlow? Comparing popular Machine Learning frameworks
Machine Learning with PyTorch and Scikit-learn is the PyTorch book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.https://www.kdnuggets.com/2022/02/packt-pytorch-tensorflow-comparing-popular-machine-learning-frameworks.html
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How You Can Use Machine Learning to Automatically Label Data
AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.https://www.kdnuggets.com/2022/02/machine-learning-automatically-label-data.html
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Top 5 Free Machine Learning Courses
Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.https://www.kdnuggets.com/2022/02/top-5-free-machine-learning-courses.html
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How to Learn Math for Machine Learning
So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.https://www.kdnuggets.com/2022/02/learn-math-machine-learning.html
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TensorFlow for Computer Vision – Transfer Learning Made Easy
In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.https://www.kdnuggets.com/2022/01/tensorflow-computer-vision-transfer-learning-made-easy.html
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Learn Machine Learning 4X Faster by Participating in Competitions
Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.https://www.kdnuggets.com/2022/01/learn-machine-learning-4x-faster-participating-competitions.html
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KDnuggets™ News 22:n03, Jan 19: A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews
A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews; 5 Things to Keep in Mind Before Selecting Your Next Data Science Job; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; Running Redis on Google Colabhttps://www.kdnuggets.com/2022/n03.html
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Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership
In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.https://www.kdnuggets.com/2022/01/models-rarely-deployed-industrywide-failure-machine-learning-leadership.html
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Transfer Learning for Image Recognition and Natural Language Processing
Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html
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A Deep Look Into 13 Data Scientist Roles and Their Responsibilities
Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.https://www.kdnuggets.com/2022/01/deep-look-13-data-scientist-roles-responsibilities.html
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What is Transfer Learning?
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.https://www.kdnuggets.com/2022/01/transfer-learning.html
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Why are More Developers Using Python for Their Machine Learning Projects?
To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.https://www.kdnuggets.com/2022/01/developers-python-machine-learning-projects.html
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Hands-on Reinforcement Learning Course Part 3: SARSA
This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO . Today we will learn about SARSA, a powerful RL algorithm.https://www.kdnuggets.com/2022/01/handson-reinforcement-learning-course-part-3-sarsa.html
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4 Reasons Why You Shouldn’t Use Machine Learning
It's time to learn: machine learning is not a Swiss Army knife.https://www.kdnuggets.com/2021/12/4-reasons-shouldnt-machine-learning.html
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Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model
Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?https://www.kdnuggets.com/2021/12/sota-explainable-forecasting-and-nowcasting.html
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Hands-On Reinforcement Learning Course, Part 1
Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.https://www.kdnuggets.com/2021/12/hands-on-reinforcement-learning-course-part-1.html
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Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started
Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.https://www.kdnuggets.com/2021/12/federated-learning-collaborative-machine-learning-tutorial-get-started.html
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Top Resources for Learning Statistics for Data Science">Top Resources for Learning Statistics for Data Science
Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning.https://www.kdnuggets.com/2021/12/springboard-top-resources-learn-data-science-statistics.html
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KDnuggets™ News 21:n47, Dec 15: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science Main Developments in 2021 and Key Trends for 2022
In this issue: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science, Deep Learning Main Developments in 2021 and Key Trends for 2022 - Research, Technology, and Industry perspectives.https://www.kdnuggets.com/2021/n47.html
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Data Labeling for Machine Learning: Market Overview, Approaches, and Tools
So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.https://www.kdnuggets.com/2021/12/data-labeling-ml-overview-and-tools.html
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Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology
Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html
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Deep Neural Networks Don’t Lead Us Towards AGI
Machine learning techniques continue to evolve with increased efficiency for recognition problems. But, they still lack the critical element of intelligence, so we remain a long way from attaining AGI.https://www.kdnuggets.com/2021/12/deep-neural-networks-not-toward-agi.html
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KDnuggets™ News 21:n45, Dec 1: Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists
Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists; Vote in new KDnuggets Poll: What Percentage of Your Machine Learning Models Have Been Deployed? KDnuggets: Personal History and Nuggets of Experience.https://www.kdnuggets.com/2021/n45.html
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Building Massively Scalable Machine Learning Pipelines with Microsoft Synapse ML
The new platform provides a single API to abstract dozens of ML frameworks and databases.https://www.kdnuggets.com/2021/11/building-massively-scalable-machine-learning-pipelines-microsoft-synapse-ml.html
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Why Machine Learning Engineers are Replacing Data Scientists">Why Machine Learning Engineers are Replacing Data Scientists
The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.https://www.kdnuggets.com/2021/11/why-machine-learning-engineers-are-replacing-data-scientists.html
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3 Differences Between Coding in Data Science and Machine Learning
The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html
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Anecdotes from 11 Role Models in Machine Learning
The skills needed to create good data are also the skills needed for good leadership.https://www.kdnuggets.com/2021/11/anecdotes-11-role-models-machine-learning.html
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The Common Misconceptions About Machine Learning
Beginners in the field can often have many misconceptions about machine learning that sometimes can be a make-it-or-break-it moment for the individual switching careers or starting fresh. This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.https://www.kdnuggets.com/2021/11/common-misconception-about-machine-learning.html
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7 of The Coolest Machine Learning Topics of 2021 at ODSC West
At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.https://www.kdnuggets.com/2021/11/odsc-7-coolest-machine-learning-topics.html
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Design Patterns for Machine Learning Pipelines">Design Patterns for Machine Learning Pipelines
ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.https://www.kdnuggets.com/2021/11/design-patterns-machine-learning-pipelines.html
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Machine Learning Model Development and Model Operations: Principles and Practices">Machine Learning Model Development and Model Operations: Principles and Practices
The ML model management and the delivery of highly performing model is as important as the initial build of the model by choosing right dataset. The concepts around model retraining, model versioning, model deployment and model monitoring are the basis for machine learning operations (MLOps) that helps the data science teams deliver highly performing models.https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html
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How To Defeat The Machine Learning Engineer Impostor Syndrome
How many times have you taken yet another online course on machine learning or read yet another paper on a new emerging topic, to be up-to-date in this crazy fast-paced AI/ML world -- only to keep feeling like an ML engineer impostor? These three personal tips can help you overcome the classic (and common) impostor syndrome behind every emerging ML engineer who wants to be better at what you do.https://www.kdnuggets.com/2021/10/defeat-machine-learning-engineer-impostor-syndrome.html
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KDnuggets™ News 21:n40, Oct 20: The 20 Python Packages You Need For Machine Learning and Data Science; Ace Data Science Interviews with Portfolio Projects
The 20 Python Packages You Need For Machine Learning and Data Science; How to Ace Data Science Interview by Working on Portfolio Projects; Deploying Your First Machine Learning API; Real Time Image Segmentation Using 5 Lines of Code; What is Clustering and How Does it Work?https://www.kdnuggets.com/2021/n40.html
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Deploying Your First Machine Learning API">Deploying Your First Machine Learning API
Effortless way to develop and deploy your machine learning API using FastAPI and Deta.https://www.kdnuggets.com/2021/10/deploying-first-machine-learning-api.html
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The 20 Python Packages You Need For Machine Learning and Data Science">The 20 Python Packages You Need For Machine Learning and Data Science
Do you do Python? Do you do data science and machine learning? Then, you need to do these crucial Python libraries that enable nearly all you will want to do.https://www.kdnuggets.com/2021/10/20-python-packages.html
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Here’s Why You Need Python Skills as a Machine Learning Engineer">Here’s Why You Need Python Skills as a Machine Learning Engineer
If you want to learn how to apply Python programming skills in the context of AI applications, the UC San Diego Extension Machine Learning Engineering Bootcamp can help. Read on to find out more about how machine learning engineers use Python, and why the language dominates today’s machine learning landscape.https://www.kdnuggets.com/2021/10/bootcamp-python-skills-machine-learning-engineer.html
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Cartoon: How Deep Is That Data Lake?
New KDnuggets Cartoon looks at some of the problems data engineers may encounter when trying to measure data lakes.https://www.kdnuggets.com/2021/10/cartoon-data-lake.html
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20 Machine Learning Projects That Will Get You Hired">20 Machine Learning Projects That Will Get You Hired
If you want to break into the machine learning and data science job market, then you will need to demonstrate the proficiency of your skills, especially if you are self-taught through online courses and bootcamps. A project portfolio is a great way to practice your new craft and offer convincing evidence that an employee should hire you over the competition.https://www.kdnuggets.com/2021/09/20-machine-learning-projects-hired.html
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Nine Tools I Wish I Mastered Before My PhD in Machine Learning">Nine Tools I Wish I Mastered Before My PhD in Machine Learning
Whether you are building a start up or making scientific breakthroughs these tools will bring your ML pipeline to the next level.https://www.kdnuggets.com/2021/09/nine-tools-mastered-before-phd-machine-learning.html
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How to Find Weaknesses in your Machine Learning Models">How to Find Weaknesses in your Machine Learning Models
FreaAI: a new method from researchers at IBM.https://www.kdnuggets.com/2021/09/weaknesses-machine-learning-models.html
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Introduction to Automated Machine Learning
AutoML enables developers with limited ML expertise (and coding experience) to train high-quality models specific to their business needs. For this article, we will focus on AutoML systems which cater to everyday business and technology applications.https://www.kdnuggets.com/2021/09/introduction-automated-machine-learning.html
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An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab
Get an Introduction to Reinforcement Learning by attempting to balance a virtual CartPole with OpenAI Gym, RLlib, and Google Colab.https://www.kdnuggets.com/2021/09/intro-reinforcement-learning-openai-gym-rllib-colab.html
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Top 18 Low-Code and No-Code Machine Learning Platforms">Top 18 Low-Code and No-Code Machine Learning Platforms
Machine learning becomes more accessible to companies and individuals when there is less coding involved. Especially if you are just starting your path in ML, then check out these low-code and no-code platforms to help expedite your capabilities in learning and applying AI.https://www.kdnuggets.com/2021/09/top-18-low-code-no-code-machine-learning-platforms.html
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Math 2.0: The Fundamental Importance of Machine Learning
Machine learning is not just another way to program computers; it represents a fundamental shift in the way we understand the world. It is Math 2.0.https://www.kdnuggets.com/2021/09/math-fundamental-importance-machine-learning.html
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How Machine Learning Leverages Linear Algebra to Solve Data Problems
Why you should learn the fundamentals of linear algebra.https://www.kdnuggets.com/2021/09/machine-learning-leverages-linear-algebra-solve-data-problems.html
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How to solve machine learning problems in the real world
Becoming a machine learning engineer pro is your goal? Sure, online ML courses and Kaggle-style competitions are great resources to learn the basics. However, the daily job of a ML engineer requires an additional layer of skills that you won’t master through these approaches.https://www.kdnuggets.com/2021/09/solve-machine-learning-problems-real-world.html
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Learning Data Science and Machine Learning: First Steps After The Roadmap">Learning Data Science and Machine Learning: First Steps After The Roadmap
Just getting into learning data science may seem as daunting as (if not more than) trying to land your first job in the field. With so many options and resources online and in traditional academia to consider, these pre-requisites and pre-work are recommended before diving deep into data science and AI/ML.https://www.kdnuggets.com/2021/08/learn-data-science-machine-learning.html
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Model Drift in Machine Learning – How To Handle It In Big Data
Rendezvous Architecture helps you run and choose outputs from a Champion model and many Challenger models running in parallel without many overheads. The original approach works well for smaller data sets, so how can this idea adapt to big data pipelines?https://www.kdnuggets.com/2021/08/model-drift-machine-learning-big-data.html
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Introduction to Statistical Learning Second Edition
The second edition of the classic "An Introduction to Statistical Learning, with Applications in R" was published very recently, and is now freely-available via PDF on the book's website.https://www.kdnuggets.com/2021/08/introduction-statistical-learning-v2.html
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DeepMind’s New Super Model: Perceiver IO is a Transformer that can Handle Any Dataset
The new transformer-based architecture can process audio, video and images using a single model.https://www.kdnuggets.com/2021/08/deepmind-new-super-model-perceiver-io-transformer.html
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10 Machine Learning Model Training Mistakes
These common ML model training mistakes are easy to overlook but costly to redeem.https://www.kdnuggets.com/2021/07/10-machine-learning-model-training-mistakes.html
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Building Machine Learning Pipelines using Snowflake and Dask
In this post, I want to share some of the tools that I have been exploring recently and show you how I use them and how they helped improve the efficiency of my workflow. The two I will talk about in particular are Snowflake and Dask. Two very different tools but ones that complement each other well especially as part of the ML Lifecycle.https://www.kdnuggets.com/2021/07/building-machine-learning-pipelines-snowflake-dask.html
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Machine Learning Skills – Update Yours This Summer
The process of mastering new knowledge often requires multiple passes to ensure the information is deeply understood. If you already began your journey into machine learning and data science, then you are likely ready for a refresher on topics you previously covered. This eight-week self-learning path will help you recapture the foundations and prepare you for future success in applying these skills.https://www.kdnuggets.com/2021/07/update-your-machine-learning-skills.html
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Design patterns in machine learning">Design patterns in machine learning
Can we abstract best practices to real design patterns yet?https://www.kdnuggets.com/2021/07/design-patterns-machine-learning.html
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How Much Memory is your Machine Learning Code Consuming?
Learn how to quickly check the memory footprint of your machine learning function/module with one line of command. Generate a nice report too.https://www.kdnuggets.com/2021/07/memory-machine-learning-code-consuming.html
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How to Create Unbiased Machine Learning Models
In this post we discuss the concepts of bias and fairness in the Machine Learning world, and show how ML biases often reflect existing biases in society. Additionally, We discuss various methods for testing and enforcing fairness in ML models.https://www.kdnuggets.com/2021/07/create-unbiased-machine-learning-models.html
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Pushing No-Code Machine Learning to the Edge
Discover the power of no-code machine learning, and what it can accomplish when pushed to edge devices.https://www.kdnuggets.com/2021/07/pushing-no-code-machine-learning-edge.html
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A Learning Path To Becoming a Data Scientist">A Learning Path To Becoming a Data Scientist
Becoming a professional data scientist may not be as easy as "1... 2... 3...", but these 10 steps can be your self-learning roadmap to kickstarting your future in the exciting and ever-expanding field of data science.https://www.kdnuggets.com/2021/07/learning-path-data-scientist.html
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Learning Data Science Through Social Media
Want your social media algorithms to show you actual algorithms? Spare a moment during your social media scrolling to learn a bit of data science. Here are suggestions for at-a-glance access to good ideas and tips on your favorite platforms.https://www.kdnuggets.com/2021/07/learning-data-science-through-social-media.html
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Amazing Low-Code Machine Learning Capabilities with New Ludwig Update
Integration with Ray, MLflow and TabNet are among the top features of this release.https://www.kdnuggets.com/2021/06/ludwig-update-includes-low-code-machine-learning-capabilities.html
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Facebook Launches One of the Toughest Reinforcement Learning Challenges in History
The FAIR team just launched the NetHack Challenge as part of the upcoming NeurIPS 2021 competition. The objective is to test new RL ideas using a one of the toughest game environments in the world.https://www.kdnuggets.com/2021/06/facebook-launches-toughest-reinforcement-learning-challenges.html
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Machine Learning Model Interpretation
Read this overview of using Skater to build machine learning visualizations.https://www.kdnuggets.com/2021/06/machine-learning-model-interpretation.html
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Data Validation in Machine Learning is Imperative, Not Optional
Before we reach model training in the pipeline, there are various components like data ingestion, data versioning, data validation, and data pre-processing that need to be executed. In this article, we will discuss data validation, why it is important, its challenges, and more.https://www.kdnuggets.com/2021/05/data-validation-machine-learning-imperative.html
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How to Determine if Your Machine Learning Model is Overtrained">How to Determine if Your Machine Learning Model is Overtrained
WeightWatcher is based on theoretical research (done injoint with UC Berkeley) into Why Deep Learning Works, based on our Theory of Heavy Tailed Self-Regularization (HT-SR). It uses ideas from Random Matrix Theory (RMT), Statistical Mechanics, and Strongly Correlated Systems.https://www.kdnuggets.com/2021/05/how-determine-machine-learning-model-overtrained.html
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Binary Classification with Automated Machine Learning
Check out how to use the open-source MLJAR auto-ML to build accurate models faster.https://www.kdnuggets.com/2021/05/binary-classification-automated-machine-learning.html
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What makes a winning entry in a Machine Learning competition?
So you want to show your grit in a Kaggle-style competition? Many, many others have the same idea, including domain experts and non-experts, and academic and corporate teams. What does it take for your bright ideas and skills to come out on top of thousands of competitors?https://www.kdnuggets.com/2021/05/winning-machine-learning-competition.html
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Best Podcasts for Machine Learning
Podcasts, especially those featuring interviews, are great for learning about the subfields and tools of AI, as well as the rock stars and superheroes of the AI world. Here, we highlight some of the best podcasts today that are perfect for both those learning about machine learning and seasoned practitioners.https://www.kdnuggets.com/2021/04/best-podcasts-machine-learning.html
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Free From Stanford: Machine Learning with Graphs
Check out the freely-available Stanford course Machine Learning with Graphs, taught by Jure Leskovec, and see how a world renowned researcher teaches their topic of expertise. Accessible materials include slides, videos, and more.https://www.kdnuggets.com/2021/04/free-stanford-machine-learning-graphs.html
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6 Mistakes To Avoid While Training Your Machine Learning Model
While training the AI model, multi-stage activities are performed to utilize the training data in the best manner, so that outcomes are satisfying. So, here are the 6 common mistakes you need to understand to make sure your AI model is successful.https://www.kdnuggets.com/2021/04/cogitotech-6-mistakes-avoid-training-machine-learning.html
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Deepfakes are now mainstream. What’s next?
Deepfakes have become mainstream. Here we take a closer look at recent news about deepfakes, and what it all might mean for the future.https://www.kdnuggets.com/2021/04/deepfakes-mainstream-next.html
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Shapash: Making Machine Learning Models Understandable">Shapash: Making Machine Learning Models Understandable
Establishing an expectation for trust around AI technologies may soon become one of the most important skills provided by Data Scientists. Significant research investments are underway in this area, and new tools are being developed, such as Shapash, an open-source Python library that helps Data Scientists make machine learning models more transparent and understandable.https://www.kdnuggets.com/2021/04/shapash-machine-learning-models-understandable.html
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Top YouTube Machine Learning Channels
These are the top 15 YouTube channels for machine learning as determined by our stated criteria, along with some additional data on the channels to help you decide if they may have some content useful for you.https://www.kdnuggets.com/2021/03/top-youtube-machine-learning-channels.html
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The Best Machine Learning Frameworks & Extensions for Scikit-learn">The Best Machine Learning Frameworks & Extensions for Scikit-learn
Learn how to use a selection of packages to extend the functionality of Scikit-learn estimators.https://www.kdnuggets.com/2021/03/best-machine-learning-frameworks-extensions-scikit-learn.html
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Learning from machine learning mistakes
Read this article and discover how to find weak spots of a regression model.https://www.kdnuggets.com/2021/03/learning-from-machine-learning-mistakes.html
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10 Amazing Machine Learning Projects of 2020">10 Amazing Machine Learning Projects of 2020
So much progress in AI and machine learning happened in 2020, especially in the areas of AI-generating creativity and low-to-no-code frameworks. Check out these trending and popular machine learning projects released last year, and let them inspire your work throughout 2021.https://www.kdnuggets.com/2021/03/10-amazing-machine-learning-projects-2020.html
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DeepMind’s AlphaFold & the Protein Folding Problem
Recently, DeepMind's AlphaFold made impressive headway in the protein structure prediction problem. Read this for an overview and explanation.https://www.kdnuggets.com/2021/03/deepmind-alphafold-protein-folding-problem.html
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Getting Started with Distributed Machine Learning with PyTorch and Ray
Ray is a popular framework for distributed Python that can be paired with PyTorch to rapidly scale machine learning applications.https://www.kdnuggets.com/2021/03/getting-started-distributed-machine-learning-pytorch-ray.html
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Data Science Learning Roadmap for 2021">Data Science Learning Roadmap for 2021
Venturing into the world of Data Science is an exciting, interesting, and rewarding path to consider. There is a great deal to master, and this self-learning recommendation plan will guide you toward establishing a solid understanding of all that is foundational to data science as well as a solid portfolio to showcase your developed expertise.https://www.kdnuggets.com/2021/02/data-science-learning-roadmap-2021.html
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Machine Learning Systems Design: A Free Stanford Course">Machine Learning Systems Design: A Free Stanford Course
This freely-available course from Stanford should give you a toolkit for designing machine learning systems.https://www.kdnuggets.com/2021/02/machine-learning-systems-design-free-stanford-course.html
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Approaching (Almost) Any Machine Learning Problem">Approaching (Almost) Any Machine Learning Problem
This freely-available book is a fantastic walkthrough of practical approaches to machine learning problems.https://www.kdnuggets.com/2021/02/approaching-almost-any-machine-learning-problem.html
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IBM Uses Continual Learning to Avoid The Amnesia Problem in Neural Networks
Using continual learning might avoid the famous catastrophic forgetting problem in neural networks.https://www.kdnuggets.com/2021/02/ibm-continual-learning-avoid-amnesia-problem-neural-networks.html
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Machine Learning – it’s all about assumptions
Just as with most things in life, assumptions can directly lead to success or failure. Similarly in machine learning, appreciating the assumed logic behind machine learning techniques will guide you toward applying the best tool for the data.https://www.kdnuggets.com/2021/02/machine-learning-assumptions.html
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A Critical Comparison of Machine Learning Platforms in an Evolving Market
There’s a clear inclination towards the MLaaS model across industries, given the fact that companies today have an option to select from a wide range of solutions that can cater to diverse business needs. Here is a look at 3 of the top ML platforms for data excellence.https://www.kdnuggets.com/2021/02/critical-comparison-machine-learning-platforms-evolving-market.html
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My machine learning model does not learn. What should I do?
This article presents 7 hints on how to get out of the quicksand.https://www.kdnuggets.com/2021/02/machine-learning-model-not-learn.html
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Microsoft Explores Three Key Mysteries of Ensemble Learning
A new paper studies three key puzzling characteristics of deep learning ensembles and some potential explanations.https://www.kdnuggets.com/2021/02/microsoft-explores-three-key-mysteries-ensemble-learning.html
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2011: DanNet triggers deep CNN revolution
In 2021, we are celebrating the 10-year anniversary of DanNet, which, in 2011, was the first pure deep convolutional neural network (CNN) to win computer vision contests. Read about its history here.https://www.kdnuggets.com/2021/02/dannet-triggers-deep-cnn-revolution.html
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Past 2021 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-2021.html
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Beyond the Nash Equilibrium: DeepMind Clever Strategy to Solve Asymmetric Games
The method expands the concept of a Nash equilibrium by decomposing an asymmetric game into multiple symmetric games.https://www.kdnuggets.com/2021/02/beyond-nash-equilibrium-deepmind-solve-asymmetric-games.html