Search results for Deep Learning Development Programming

Found 343 documents, 5922 searched:

• Exploring the Potential of Transfer Learning in Small Data Scenarios

  This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.

  https://www.kdnuggets.com/exploring-the-potential-of-transfer-learning-in-small-data-scenarios

• Data Science and the Go Programming Language

  Northwestern’s School of Professional Studies uses Go in Its Master of Science in Data Science Program.

  https://www.kdnuggets.com/2024/03/nwu-data-science-go-programming-language

• 2024 Tech Trends: AI Breakthroughs & Development Insights from O’Reilly’s Free Report

  Want to prepare your tech career for 2024 and onwards? Have a look at O’Reilly’s FREE technology trends report.

  https://www.kdnuggets.com/2024-tech-trends-ai-breakthroughs-development-insights-oreilly-free-report

• Back to Basics Week 1: Python Programming & Data Science Foundations

  Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

  https://www.kdnuggets.com/back-to-basics-week-1-python-programming-data-science-foundations

• Rust Burn Library for Deep Learning

  A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.

  https://www.kdnuggets.com/rust-burn-library-for-deep-learning

• IT Staff Augmentation: How AI Is Changing the Software Development Industry

  It discusses how AI assistants are helping teams become more efficient and how they can also be a benefit to developers.

  https://www.kdnuggets.com/2023/05/staff-augmentation-ai-changing-software-development-industry.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

• DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

  I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.

  https://www.kdnuggets.com/2023/04/datalang-new-programming-language-data-scientists-chatgpt.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

• Linear Programming 101 for Data Scientists

  This post provides an overview of topics in linear programming, history, and recent advances, software packages, common problem specifications, and a case study using Toronto shelters data and the PuLP software package.

  https://www.kdnuggets.com/2023/02/linear-programming-101-data-scientists.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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Data Science Programming Languages and When To Use Them

  Read this guide through the most common data science programming languages and when to use them in data science.

  https://www.kdnuggets.com/2022/02/data-science-programming-languages.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

• What Makes Python An Ideal Programming Language For Startups">What Makes Python An Ideal Programming Language For Startups

  In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

  https://www.kdnuggets.com/2021/12/makes-python-ideal-programming-language-startups.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

• 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

• 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 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

• 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

• A Breakdown of Deep Learning Frameworks

  Deep Learning continues to evolve as one of the most powerful techniques in the AI toolbox. Many software packages exist today to support the development of models, and we highlight important options available with key qualities and differentiators to help you select the most appropriate for your needs.

  https://www.kdnuggets.com/2021/09/a-breakdown-deep-learning-frameworks.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

• GPU-Powered Data Science (NOT Deep Learning) with RAPIDS">GPU-Powered Data Science (NOT Deep Learning) with RAPIDS

  How to utilize the power of your GPU for regular data science and machine learning even if you do not do a lot of deep learning work.

  https://www.kdnuggets.com/2021/08/gpu-powered-data-science-deep-learning-rapids.html

• Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics">Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics

  Modern AI/ML systems’ success has been critically dependent on their ability to process massive amounts of raw data in a parallel fashion using task-optimized hardware. Can we leverage the power of GPU and distributed computing for regular data processing jobs too?

  https://www.kdnuggets.com/2021/07/deep-learning-gpu-accelerate-data-science-data-analytics.html

• 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

• 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

• 7 Open Source Libraries for Deep Learning Graphs

  In this article we’ll go through 7 up-and-coming open source libraries for graph deep learning, ranked in order of increasing popularity.

  https://www.kdnuggets.com/2021/07/7-open-source-libraries-deep-learning-graphs.html

• 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

• 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

• 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

• 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

• 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

• Machine learning adversarial attacks are a ticking time bomb

  Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threats in the real-world are becoming imminent as the adoption of machine learning spreads, and a systematic defense must be implemented.

  https://www.kdnuggets.com/2021/01/machine-learning-adversarial-attacks.html

• My Data Science Learning Journey So Far">My Data Science Learning Journey So Far

  These are some obstacles the author faced in their data science learning journey in the past year, including how much time it took to overcome each obstacle and what it has taught the author.

  https://www.kdnuggets.com/2021/01/data-science-learning-journey.html

• A Journey from Software to Machine Learning Engineer

  In this blog post, the author explains his journey from Software Engineer to Machine Learning Engineer. The focus of the blog post is on the areas that the author wished he'd have focused on during his learning journey, and what should you look for outside of books and courses when pursuing your Machine Learning career.

  https://www.kdnuggets.com/2020/12/journey-from-software-machine-learning-engineer.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021

  2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.

  https://www.kdnuggets.com/2020/12/predictions-ai-machine-learning-data-science-research.html

• Simple & Intuitive Ensemble Learning in R

  Read about metaEnsembleR, an R package for heterogeneous ensemble meta-learning (classification and regression) that is fully-automated.

  https://www.kdnuggets.com/2020/12/simple-intuitive-meta-learning-r.html

• 5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use

  If you consider yourself a Data Scientist who can take any project from data curation to solution deployment, then you know there are many tools available today to help you get the job done. The trouble is that there are too many choices. Here is a review of five sets of tools that should turn you into the most efficient full-stack data scientist possible.

  https://www.kdnuggets.com/2020/11/5-useful-machine-learning-tools.html

• Facebook Open Sourced New Frameworks to Advance Deep Learning Research">Facebook Open Sourced New Frameworks to Advance Deep Learning Research

  Polygames, PyTorch3D and HiPlot are the new additions to Facebook’s open source deep learning stack.

  https://www.kdnuggets.com/2020/11/facebook-open-source-frameworks-advance-deep-learning-research.html

• Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision">Top Python Libraries for Deep Learning, Natural Language Processing & Computer Vision

  This article compiles the 30 top Python libraries for deep learning, natural language processing & computer vision, as best determined by KDnuggets staff.

  https://www.kdnuggets.com/2020/11/top-python-libraries-deep-learning-natural-language-processing-computer-vision.html

• Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

  We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.

  https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html

• Autograd: The Best Machine Learning Library You’re Not Using?">Autograd: The Best Machine Learning Library You’re Not Using?

  If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.

  https://www.kdnuggets.com/2020/09/autograd-best-machine-learning-library-not-using.html

• Must-read NLP and Deep Learning articles for Data Scientists">Must-read NLP and Deep Learning articles for Data Scientists

  NLP and deep learning continue to advance, nearly on a daily basis. Check out these recent must-read guides, feature articles, and other resources to keep you on top of the latest advancements and ahead of the curve.

  https://www.kdnuggets.com/2020/08/must-read-nlp-deep-learning-articles.html

• A Tour of End-to-End Machine Learning Platforms

  An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!

  https://www.kdnuggets.com/2020/07/tour-end-to-end-machine-learning-platforms.html

• Deep Learning in Finance: Is This The Future of the Financial Industry?

  Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.

  https://www.kdnuggets.com/2020/07/deep-learning-finance-future-financial-industry.html

• I Designed My Own Machine Learning and AI Degree

  With so many pioneering online resources for open education, check out this organized collection of courses you can follow to become a well-rounded machine learning and AI engineer.

  https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html

• 10 Best Machine Learning Textbooks that All Data Scientists Should Read

  Check out these 10 books that can help data scientists and aspiring data scientists learn machine learning today.

  https://www.kdnuggets.com/2020/04/10-best-machine-learning-textbooks-data-scientists.html

• Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?

  While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.

  https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html

• Building a Mature Machine Learning Team

  After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

  https://www.kdnuggets.com/2020/03/mature-machine-learning-team.html

• The Most Useful Machine Learning Tools of 2020

  This articles outlines 5 sets of tools every lazy full-stack data scientist should use.

  https://www.kdnuggets.com/2020/03/most-useful-machine-learning-tools-2020.html

• 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)

  2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.

  https://www.kdnuggets.com/2020/02/ai-data-science-machine-learning-key-terms-2020.html

• Uber Has Been Quietly Assembling One of the Most Impressive Open Source Deep Learning Stacks in the Market

  Many of the technologies used by Uber teams have been open sourced and received accolades from the machine learning community. Let’s look at some of my favorites.

  https://www.kdnuggets.com/2020/01/uber-quietly-assembling-impressive-open-source-deep-learning.html

• Graph Machine Learning Meets UX: An uncharted love affair

  When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.

  https://www.kdnuggets.com/2020/01/graph-machine-learning-ux.html

• Why software engineering processes and tools don’t work for machine learning

  While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.

  https://www.kdnuggets.com/2019/12/comet-software-engineering-machine-learning.html

• Enabling the Deep Learning Revolution

  Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.

  https://www.kdnuggets.com/2019/12/enabling-deep-learning-revolution.html

• GitHub Repo Raider and the Automation of Machine Learning

  Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.

  https://www.kdnuggets.com/2019/11/github-repo-raider-automated-machine-learning.html

• Top Machine Learning Software Tools for Developers">Top Machine Learning Software Tools for Developers

  As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.

  https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html

• What is Machine Learning on Code?

  Not only can MLonCode help companies streamline their codebase and software delivery processes, but it also helps organizations better understand and manage their engineering talents.

  https://www.kdnuggets.com/2019/11/machine-learning-code-mloncode.html

• Why is Machine Learning Deployment Hard?">Why is Machine Learning Deployment Hard?

  Developing an excellent machine learning model is one thing. Deploying it to production is another. Consider these lessons learned and recommendations for approaching this important challenge to help ensure value from your AI work.

  https://www.kdnuggets.com/2019/10/machine-learning-deployment-hard.html

• 12 Deep Learning Researchers and Leaders">12 Deep Learning Researchers and Leaders

  Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

  https://www.kdnuggets.com/2019/09/12-deep-learning-research-leaders.html

• Scikit-Learn & More for Synthetic Dataset Generation for Machine Learning

  While mature algorithms and extensive open-source libraries are widely available for machine learning practitioners, sufficient data to apply these techniques remains a core challenge. Discover how to leverage scikit-learn and other tools to generate synthetic data appropriate for optimizing and fine-tuning your models.

  https://www.kdnuggets.com/2019/09/scikit-learn-synthetic-dataset.html

• Object-oriented programming for data scientists: Build your ML estimator">Object-oriented programming for data scientists: Build your ML estimator

  Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.

  https://www.kdnuggets.com/2019/08/object-oriented-programming-data-scientists-estimator.html

• Artificial Intelligence vs. Machine Learning vs. Deep Learning: What is the Difference?

  Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

  https://www.kdnuggets.com/2019/08/artificial-intelligence-vs-machine-learning-vs-deep-learning-difference.html

• How a simple mix of object-oriented programming can sharpen your deep learning prototype

  By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

  https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

• Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning">Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning

  Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

  https://www.kdnuggets.com/2019/07/best-podcasts-ai-analytics-data-science-machine-learning.html

• Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI">Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI

  Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

  https://www.kdnuggets.com/2019/07/top-certificates-analytics-data-science-machine-learning-ai.html

• The Data Fabric for Machine Learning – Part 2: Building a Knowledge-Graph

  Before being able to develop a Data Fabric we need to build a Knowledge-Graph. In this article I’ll set up the basis on how to create it, in the next article we’ll go to the practice on how to do this.

  https://www.kdnuggets.com/2019/06/data-fabric-machine-learning-building-knowledge-graph.html

• AI in the Family: how to teach machine learning to your kids

  AI is all the rage with today’s programmers, but what about the next generation? Machine learning can be introduced to young ones just now learning about code, and you can help spark their interest.

  https://www.kdnuggets.com/2019/05/ai-machine-learning-kids.html

• Linear Programming and Discrete Optimization with Python using PuLP

  Knowledge of such optimization techniques is extremely useful for data scientists and machine learning (ML) practitioners as discrete and continuous optimization lie at the heart of modern ML and AI systems as well as data-driven business analytics processes.

  https://www.kdnuggets.com/2019/05/linear-programming-discrete-optimization-python-pulp.html

• How to Automate Tasks on GitHub With Machine Learning for Fun and Profit

  Check this tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.

  https://www.kdnuggets.com/2019/05/automate-tasks-github-machine-learning-fun-profit.html

• Which Deep Learning Framework is Growing Fastest?

  In September 2018, I compared all the major deep learning frameworks in terms of demand, usage, and popularity. TensorFlow was the champion of deep learning frameworks and PyTorch was the youngest framework. How has the landscape changed?

  https://www.kdnuggets.com/2019/05/which-deep-learning-framework-growing-fastest.html

• Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision

  In this blog, I’ll walk you through a personal project in which I cheaply built a classifier to detect anti-semitic tweets, with no public dataset available, by combining weak supervision and transfer learning.

  https://www.kdnuggets.com/2019/03/building-nlp-classifiers-cheaply-transfer-learning-weak-supervision.html

• 19 Inspiring Women in AI, Big Data, Data Science, Machine Learning">19 Inspiring Women in AI, Big Data, Data Science, Machine Learning

  For the 2019 international women's day, we profile a new set of 19 inspiring women who lead the field in AI, Big Data, Data Science, and Machine Learning fields.

  https://www.kdnuggets.com/2019/03/women-ai-big-data-science-machine-learning.html

• Automated Machine Learning in Python

  An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.

  https://www.kdnuggets.com/2019/01/automated-machine-learning-python.html

• Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated

  Stay up-to-date with the latest technological advancements using our extensive list of active blogs; this is a list of 100 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2019/01/active-blogs-ai-analytics-data-science.html

• Feature Engineering for Machine Learning: 10 Examples

  A brief introduction to feature engineering, covering coordinate transformation, continuous data, categorical features, missing values, normalization, and more.

  https://www.kdnuggets.com/2018/12/feature-engineering-explained.html

• 10 More Must-See Free Courses for Machine Learning and Data Science">10 More Must-See Free Courses for Machine Learning and Data Science

  Have a look at this follow-up collection of free machine learning and data science courses to give you some winter study ideas.

  https://www.kdnuggets.com/2018/12/10-more-free-must-see-courses-machine-learning-data-science.html

• AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

  Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.

  https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html

• Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

  We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields.

  https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

• Deep Learning for the Masses (… and The Semantic Layer)

  Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer.

  https://www.kdnuggets.com/2018/11/deep-learning-masses-semantic-layer.html

• Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code">Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code

  Auto-Keras is an open source software library for automated machine learning. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.

  https://www.kdnuggets.com/2018/08/auto-keras-create-deep-learning-model-4-lines-code.html

• DIY Deep Learning Projects">DIY Deep Learning Projects

  Inspired by the great work of Akshay Bahadur in this article you will see some projects applying Computer Vision and Deep Learning, with implementations and details so you can reproduce them on your computer.

  https://www.kdnuggets.com/2018/06/diy-deep-learning-projects.html

• 10 More Free Must-Read Books for Machine Learning and Data Science">10 More Free Must-Read Books for Machine Learning and Data Science

  Summer, summer, summertime. Time to sit back and unwind. Or get your hands on some free machine learning and data science books and get your learn on. Check out this selection to get you started.

  https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html

• How to Organize Data Labeling for Machine Learning: Approaches and Tools

  The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.

  https://www.kdnuggets.com/2018/05/data-labeling-machine-learning.html

• Top 16 Open Source Deep Learning Libraries and Platforms

  We bring to you the top 16 open source deep learning libraries and platforms. TensorFlow is out in front as the undisputed number one, with Keras and Caffe completing the top three.

  https://www.kdnuggets.com/2018/04/top-16-open-source-deep-learning-libraries.html

• Don’t learn Machine Learning in 24 hours

  When it comes to machine learning, there's no quick way of teaching yourself - you're in it for the long haul.

  https://www.kdnuggets.com/2018/04/dont-learn-machine-learning-24-hours.html

• A “Weird” Introduction to Deep Learning">A “Weird” Introduction to Deep Learning

  There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

  https://www.kdnuggets.com/2018/03/weird-introduction-deep-learning.html

• Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch">Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

  Now you can develop deep learning applications with Google Colaboratory - on the free Tesla K80 GPU - using Keras, Tensorflow and PyTorch.

  https://www.kdnuggets.com/2018/02/google-colab-free-gpu-tutorial-tensorflow-keras-pytorch.html

• My Journey into Deep Learning

  In this post I’ll share how I’ve been studying Deep Learning and using it to solve data science problems. It’s an informal post but with interesting content (I hope).

  https://www.kdnuggets.com/2018/01/journey-into-deep-learning.html

• Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

  A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.

  https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

• Deep Learning Made Easy with Deep Cognition

  So normally we do Deep Learning programming, and learning new APIs, some harder than others, some are really easy an expressive like Keras, but how about a visual API to create and deploy Deep Learning solutions with the click of a button? This is the promise of Deep Cognition.

  https://www.kdnuggets.com/2017/12/deep-learning-made-easy-deep-cognition.html

• Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

  The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.

  https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html

• Top 10 Videos on Machine Learning in Finance">Top 10 Videos on Machine Learning in Finance

  Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!

  https://www.kdnuggets.com/2017/09/top-10-videos-machine-learning-finance.html

• Python vs R – Who Is Really Ahead in Data Science, Machine Learning?">Python vs R – Who Is Really Ahead in Data Science, Machine Learning?

  We examine Google Trends, job trends, and more and note that while Python has only a small advantage among current Data Science and Machine Learning related jobs, this advantage is likely to increase in the future.

  https://www.kdnuggets.com/2017/09/python-vs-r-data-science-machine-learning.html

• First Steps of Learning Deep Learning: Image Classification in Keras

  Whether you want to start learning deep learning for you career, to have a nice adventure (e.g. with detecting huggable objects) or to get insight into machines before they take over, this post is for you!

  https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html

• Using Deep Learning To Extract Knowledge From Job Descriptions">Using Deep Learning To Extract Knowledge From Job Descriptions

  We present a deep learning approach to extract knowledge from a large amount of data from the recruitment space. A learning to rank approach is followed to train a convolutional neural network to generate job title and job description embeddings.

  https://www.kdnuggets.com/2017/05/deep-learning-extract-knowledge-job-descriptions.html

• Top 10 Machine Learning Videos on YouTube, updated">Top 10 Machine Learning Videos on YouTube, updated

  The top machine learning videos on YouTube include lecture series from Stanford and Caltech, Google Tech Talks on deep learning, using machine learning to play Mario and Hearthstone, and detecting NHL goals from live streams.

  https://www.kdnuggets.com/2017/05/top-10-machine-learning-videos-on-youtube-updated.html

• What Do Frameworks Offer Data Scientists that Programming Languages Lack?

  While programming languages will never be completely obsolete, a growing number of programmers (and data scientists) prefer working with frameworks and view them as the more modern and cutting-edge option for a number of reasons.

  https://www.kdnuggets.com/2017/05/frameworks-offer-data-scientists-programming-languages-lack.html

• One Deep Learning Virtual Machine to Rule Them All

  The frontend code of programming languages only needs to parse and translate source code to an intermediate representation (IR). Deep Learning frameworks will eventually need their own “IR.”

  https://www.kdnuggets.com/2017/04/deep-learning-virtual-machine-rule-all.html

• Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions">Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions

  Who leads in Data Science, Machine Learning, and Predictive Analytics? We compare the latest Forrester and Gartner reports for this industry for 2017 Q1, identify gainers and losers, and strong leaders vs contenders.

  https://www.kdnuggets.com/2017/04/forrester-gartner-data-science-platforms-machine-learning.html

• Software Engineering vs Machine Learning Concepts

  Not all core concepts from software engineering translate into the machine learning universe. Here are some differences I've noticed.

  https://www.kdnuggets.com/2017/03/software-engineering-vs-machine-learning-concepts.html

• The Current State of Automated Machine Learning

  What is automated machine learning (AutoML)? Why do we need it? What are some of the AutoML tools that are available? What does its future hold? Read this article for answers to these and other AutoML questions.

  https://www.kdnuggets.com/2017/01/current-state-automated-machine-learning.html

• Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books

  Also AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017; Scikit-Learn Cheat Sheet: #Python #MachineLearning

  https://www.kdnuggets.com/2017/01/top-tweets-jan04-10.html

• How To Stay Competitive In Machine Learning Business

  To stay competitive in machine learning business, you have to be superior than your rivals and not the best possible – says one of the leading machine learning expert. Simple rules are defined here to make that happen. Let’s see how.

  https://www.kdnuggets.com/2017/01/stay-competitive-machine-learning-business.html

• 5 Machine Learning Projects You Can No Longer Overlook, January">5 Machine Learning Projects You Can No Longer Overlook, January

  There are a lot of popular machine learning projects out there, but many more that are not. Which of these are actively developed and worth checking out? Here is an offering of 5 such projects, the most recent in an ongoing series.
   
   

  https://www.kdnuggets.com/2017/01/five-machine-learning-projects-cant-overlook-january.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

  https://www.kdnuggets.com/academic/index.html

• 50+ Data Science, Machine Learning Cheat Sheets, updated">50+ Data Science, Machine Learning Cheat Sheets, updated

  Gear up to speed and have concepts and commands handy in Data Science, Data Mining, and Machine learning algorithms with these cheat sheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark, Matlab, and Java.

  https://www.kdnuggets.com/2016/12/data-science-machine-learning-cheat-sheets-updated.html

• Top 20 Python Machine Learning Open Source Projects, updated">Top 20 Python Machine Learning Open Source Projects, updated

  Open Source is the heart of innovation and rapid evolution of technologies, these days. This article presents you Top 20 Python Machine Learning Open Source Projects of 2016 along with very interesting insights and trends found during the analysis.

  https://www.kdnuggets.com/2016/11/top-20-python-machine-learning-open-source-updated.html

• 5 Deep Learning Projects You Can No Longer Overlook

  There are a number of "mainstream" deep learning projects out there, but many more niche projects flying under the radar. Have a look at 5 such projects worth checking out.

  https://www.kdnuggets.com/2016/07/five-deep-learning-projects-cant-overlook.html

• 5 More Machine Learning Projects You Can No Longer Overlook

  There are a lot of popular machine learning projects out there, but many more that are not. Which of these are actively developed and worth checking out? Here is an offering of 5 such projects.

  https://www.kdnuggets.com/2016/06/five-more-machine-learning-projects-cant-overlook.html

• Why Implement Machine Learning Algorithms From Scratch?

  Even with machine learning libraries covering almost any algorithm implementation you could imagine, there are often still good reasons to write your own. Read on to find out what these reasons are.

  https://www.kdnuggets.com/2016/05/implement-machine-learning-algorithms-scratch.html

• Top 15 Frameworks for Machine Learning Experts

  Either you are a researcher, start-up or big organization who wants to use machine learning, you will need the right tools to make it happen. Here is a list of the most popular frameworks for machine learning.

  https://www.kdnuggets.com/2016/04/top-15-frameworks-machine-learning-experts.html

• 100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

  Stay on top of your data science skills game! Here’s a list of about 100 most active and interesting blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2016/03/100-active-blogs-analytics-big-data-science-machine-learning.html

• AutoML: Automated Data Science and Machine Learning

  For recent posts and more recent lists of AutoML and Automated Data Science, see Tag: AutoML. ABM: Automatic Business Modeler, automatically builds accurate and interpretable Read more »

  https://www.kdnuggets.com/software/automated-data-science.html

• 50 Deep Learning Software Tools and Platforms, Updated

  We present the popular software & toolkit resources for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch. Explore the new list!

  https://www.kdnuggets.com/2015/12/deep-learning-tools.html