Search results for deep learning

Found 5347 documents, 14044 searched:

• 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

• Tech visionaries to address accelerating machine learning, unifying AI platforms and more at the AI Hardware Summit & Edge AI Summit

  Tech visionaries to address accelerating machine learning, unifying AI platforms and taking intelligence to the edge, at the fifth annual AI Hardware Summit & Edge AI Summit, Santa Clara.

  https://www.kdnuggets.com/2022/06/kisaco-ai-herdware-edge-ai-summits.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

• Learning Data Science If You’re Broke

  Check out this list of free resources, courses, and more to help you become a Data Scientist for free.

  https://www.kdnuggets.com/2022/05/learning-data-science-broke.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

• Top Posts Mar 7-13: Build a Machine Learning Web App in 5 Minutes

  Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 2; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1

  https://www.kdnuggets.com/2022/03/top-posts-week-0307-0313.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

• Top Posts Jan 31 – Feb 6: 7 Steps to Mastering Machine Learning with Python in 2022

  Also: How to Write SQL in Native Python; The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Is Data Science a Dying Career?

  https://www.kdnuggets.com/2022/02/top-news-week-0131-0206.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

• Meta-Learning for Keyphrase Extraction

  This article explores Meta-Learning for Key phrase Extraction, which delves into the how and why of KeyPhrase Extraction (KPE) - extracting phrases/groups of words from a document to best capture and represent its content. The article outline what needs to be done to build a keyphrase extractor that performs well not only on in-domain data, but also in a zero-shot scenario where keyphrases need to be extracted from data that have a different distribution (either a different domain or a different type of documents).

  https://www.kdnuggets.com/2021/12/metalearning-keyphrase-extraction.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

• Top Stories, Nov 1-7: What Google Recommends You do Before Taking Their Machine Learning or Data Science Course

  Also: Design Patterns for Machine Learning Pipelines; Data Scientist Career Path from Novice to First Job; Salary Breakdown of the Top Data Science Jobs; ORDAINED: The Python Project Template

  https://www.kdnuggets.com/2021/11/top-news-week-1101-1107.html

• Machine Learning Safety: Unsolved Problems

  There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future. As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications.

  https://www.kdnuggets.com/2021/11/machine-learning-safety-unsolved-problems.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

• Top Stories, Oct 25-31: How I Tripled My Income With Data Science in 18 Months; Machine Learning Model Development and Model Operations: Principles and Practices

  Also: What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Learn To Reproduce Papers: Beginner’s Guide; 365 Data Science courses free until 18 November; A Guide to 14 Different Data Science Jobs

  https://www.kdnuggets.com/2021/11/top-news-week-1025-1031.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

• 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

• Building Multimodal Models: Using the widedeep Pytorch package

  This article gets you started on the open-source widedeep PyTorch framework developed by Javier Rodriguez Zaurin.

  https://www.kdnuggets.com/2021/10/building-multimodal-models-widedeep-pytorch-package.html

• 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

• The Architecture Behind DeepMind’s Model for Near Real Time Weather Forecasts

  Deep Generative Model of Rain (DGMR) is the newest creation from DeepMind which can predict precipitation in short term intervals.

  https://www.kdnuggets.com/2021/10/architecture-deepmind-model-near-real-time-weather-forecasts.html

• 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

• KDnuggets™ News 21:n37, Sep 29: Nine Tools I Wish I Mastered Before My PhD in Machine Learning; Path to Full Stack Data Science

  Whether you have a PhD or not, learn these very useful 9 tools to increase your mastery of Machine Learning; Check this detailed path to becoming a full stack Data Scientist; Then do one of these 20 Machine Learning Projects that will help you get a job; See a Breakdown of Deep Learning Frameworks; and more.

  https://www.kdnuggets.com/2021/n37.html

• Top Stories, Sep 20-26: Nine Tools I Wish I Mastered Before My PhD in Machine Learning; How to Find Weaknesses in your Machine Learning Models

  Also: How to be a Data Scientist without a STEM degree; Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; 20 Machine Learning Projects That Will Get You Hired; How to Find Weaknesses in your Machine Learning Models

  https://www.kdnuggets.com/2021/09/top-news-week-0920-0926.html

• 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

• 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

• 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

• 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

• KDnuggets™ News 21:n35, Sep 15: A Data Science Portfolio That Will Land You The Job; Top 18 Low-Code and No-Code Machine Learning Platforms

  Here is a Data Science Portfolio that will land you the job; Review the top 18 Low-Code and No-Code Machine Learning platforms; Try these 8 Deep Learning Project Ideas for Beginners; Very useful - working with Python APIs for data science project.

  https://www.kdnuggets.com/2021/n35.html

• 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

• 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

• 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

• 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

• Antifragility and Machine Learning

  Our intuition for most products, processes, and even some models might be that they either will get worse over time, or if they fail, they will experience an cascade of more failure. But, what if we could intentionally design systems and models to only get better, even as the world around them gets worse?

  https://www.kdnuggets.com/2021/09/antifragility-machine-learning.html

• 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

• 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