Search results for "deep learning"

3156 documents found out of 7199 total.

• 5 Free Books to Master Machine Learning

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

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

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

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

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

• Understanding Unsupervised Learning

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

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

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

  A practical walkthrough for random forests in Python.

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

• Understanding Supervised Learning: Theory and Overview

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

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

• Demystifying Machine Learning

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

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

• Understanding Machine Learning Algorithms: An In-Depth Overview

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

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

• Using SHAP Values for Model Interpretability in Machine Learning

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

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

• Introduction to Statistical Learning, Python Edition: Free Book

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

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

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

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

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

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

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

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

• Free From Google: Generative AI Learning Path

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

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

• A Practical Approach To Feature Engineering In Machine Learning

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

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

• Reinforcement Learning: Teaching Computers to Make Optimal Decisions

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

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

• A Comparison of Machine Learning Algorithms in Python and R

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

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

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

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

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

• A Practical Guide to Transfer Learning using PyTorch

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

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

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

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

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

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

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

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

• Fighting AI with AI Fraud Monitoring for Deepfake Applications

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

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

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

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

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

• ChatGPT as a Personalized Tutor for Learning Data Science Concepts

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

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

• Automated Machine Learning with Python: A Case Study

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

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

• Best Machine Learning Model For Sparse Data

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

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

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

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

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

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

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

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

• Top Machine Learning Papers to Read in 2023

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

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

• First Open Source Implementation of DeepMind’s AlphaTensor

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

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

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

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

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

• Importance of Pre-Processing in Machine Learning

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

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

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

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

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

• How to Implement a Federated Learning Project with Healthcare Data

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

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

• 10 Free Machine Learning Courses from Top Universities

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

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

• Learn Machine Learning From These GitHub Repositories

  Kickstart your Machine Learning career with these curated GitHub repositories.

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

• 7 Best Libraries for Machine Learning Explained

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

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

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

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

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

• Free Data Management with Data Science Learning with CS639

  Learn Data Management with Data Science for FREE with CS639.

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

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

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

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

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

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

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

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

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

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

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

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

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

• Zero-shot Learning, Explained

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

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

• 3 Free Machine Learning Courses for Beginners

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

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

• The Complete Machine Learning Study Roadmap

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

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

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

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

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

• Multimodal Grounded Learning with Vision and Language

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

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

• 10 Amazing Machine Learning Visualizations You Should Know in 2023

  Yellowbrick for creating machine learning plots with less code.

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

• SHAP: Explain Any Machine Learning Model in Python

  A Comprehensive Guide to SHAP and Shapley Values

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

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

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

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

• How LinkedIn Uses Machine Learning To Rank Your Feed

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

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

• Simple and Fast Data Streaming for Machine Learning Projects

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

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

• Machine Learning on the Edge

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

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

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

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

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

• Frameworks for Approaching the Machine Learning Process

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

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

• 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

• 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

• 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

• 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 Solved

  https://www.kdnuggets.com/2022/09/top-posts-week-0919-0925.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 Questions

  https://www.kdnuggets.com/2022/n29.html

• 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

• 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

• 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

• 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 Tools

  https://www.kdnuggets.com/2022/n25.html

• 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

• 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 Groups

  https://www.kdnuggets.com/2022/n24.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 Rosidi

  https://www.kdnuggets.com/2022/n10.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 Colab

  https://www.kdnuggets.com/2022/n03.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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