Search results for Programming Artificial Intelligence

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• Top Data Science Podcasts for 2022

  Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

  https://www.kdnuggets.com/2022/06/top-data-science-podcasts-2022.html

• Publications on Data Science, Machine Learning, AI & Analytics

    Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

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

• A Beginner’s Guide to Q Learning

  Learn the basics of Q-learning in this article, a model-free reinforcement learning algorithm.

  https://www.kdnuggets.com/2022/06/beginner-guide-q-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

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.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

• The Complete Collection of Data Science Books – Part 1

  Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.html

• Finding the Best IDE Software

  What should you be looking for in an IDE? Find out here.

  https://www.kdnuggets.com/2022/05/finding-best-ide-software.html

• HuggingFace Has Launched a Free Deep Reinforcement Learning Course

  Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.

  https://www.kdnuggets.com/2022/05/huggingface-launched-free-deep-reinforcement-learning-course.html

• Free University Data Science Resources

  This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

  https://www.kdnuggets.com/2022/05/free-university-data-science-resources.html

• Software Developer vs Software Engineer

  The terms developer and engineer are used synonymously, making it difficult to understand the difference between the two in the midst of a conversation.

  https://www.kdnuggets.com/2022/05/software-developer-software-engineer.html

• Why You Need To Learn Python In 2022

  If you don’t already know a programming language, or if you’re deciding to choose another language, have a read and see if Python is for you.

  https://www.kdnuggets.com/2022/04/need-learn-python-2022.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

• Data Science Interview Guide – Part 2: Interview Resources

  Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-2-interview-resources.html

• Python Libraries Data Scientists Should Know in 2022

  Let’s have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.

  https://www.kdnuggets.com/2022/04/python-libraries-data-scientists-know-2022.html

• Data Science Interview Guide – Part 1: The Structure

  According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-1-structure.html

• Machine Learning Textbook: Stochastic Processes and Simulations

  The 100 page book on stochastic processes. Published in 2022. This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets, source code, videos, spreadsheets and solved exercises.

  https://www.kdnuggets.com/2022/03/datashaping-machine-learning-textbook-stochastic-processes-simulations.html

• MLOps Is a Mess But That’s to be Expected

  In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.

  https://www.kdnuggets.com/2022/03/mlops-mess-expected.html

• A Guide On How To Become A Data Scientist (Step By Step Approach)

  Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

  https://www.kdnuggets.com/2021/05/guide-become-data-scientist.html

• Best Data Science Books for Beginners

  The best knowledge is still placed in the libraries; within books. In this article, discover some of the top recommended Data Science books catering to beginners.

  https://www.kdnuggets.com/2022/03/best-data-science-books-beginners.html

• What certification are you adding to your toolkit in 2022?

  Learn more about the popular certifications that will validate your data and analytics skills.

  https://www.kdnuggets.com/2022/03/sas-certification-adding-toolkit-2022.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

• Junior Data Scientist: The Next Level

  There is a difference in the level of experience compared to Junior, Mid-Level, and Senior Data Scientists. This article will go through the expectations for all job roles and what is required to move up the ladder.

  https://www.kdnuggets.com/2022/02/junior-data-scientist-next-level.html

• The Complete Collection of Data Science Cheat Sheets – Part 1

  A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.

  https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-1.html

• 8 Best Data Science Courses to Enroll in 2022 For Steep Career Advancement

  Here is the list of the top 8 data science courses and programs that you can consider for upskilling yourself and get the best data scientist job in 2022.

  https://www.kdnuggets.com/2022/02/scaler-8-best-data-science-courses-enroll-2022-steep-career-advancement.html

• How to Build Your Career in Data Science

  If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.

  https://www.kdnuggets.com/2022/02/build-career-data-science.html

• Understanding Iterables vs Iterators in Python

  Though often confused with one another, Iterables and Iterators are two distinct concepts. This article will explain the difference between the two, and how they are used.

  https://www.kdnuggets.com/2022/01/understanding-iterables-iterators-python.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

• Why Humbling Yourself Will Improve Your Data Science Skills

  Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

  https://www.kdnuggets.com/2022/01/humbling-improve-data-science-skills.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

• The Chatbot Transformation: From Failure to the Future

  The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

  https://www.kdnuggets.com/2021/12/chatbot-transformation-failure-future.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.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

• What Does a Data Scientist Do?

  This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

  https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

• What’s the difference between a Data Scientist and a Data Analyst?

  Find out the major differences between a Data Analyst and a Data Scientist, and read the author's pointers on what they would recommend you to do if you wish to make that transition from Data Analyst to Data Scientist.

  https://www.kdnuggets.com/2021/11/difference-data-scientist-data-analyst.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

• 25 Github Repositories Every Python Developer Should Know

  Check out these repositories to help you improve your data science skills.

  https://www.kdnuggets.com/2021/11/25-github-repositories-python-developer.html

• A Guide to 14 Different Data Science Jobs">A Guide to 14 Different Data Science Jobs

  The field of data science is growing into one that features a variety of job titles This guide reviews different positions available for you to consider if you have a data science background.

  https://www.kdnuggets.com/2021/10/guide-14-different-data-science-jobs.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

• Path to Full Stack Data Science">Path to Full Stack Data Science

  Start your journey toward mastering all aspects of the field of Data Science with this focused list of in-depth self-learning resources. Curated with the beginner in mind, these recommendations will help you learn efficiently, and can also offer existing professionals useful highlights for review or help filling in any gaps in skills.

  https://www.kdnuggets.com/2021/09/path-full-stack-data-science.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

• 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

• Popular Certifications to validate your data and analytics skills

  Check out the most popular certifications from SAS to see what certification you want to pursue next. Now through the end of 2021, you can save 55% on your exam!

  https://www.kdnuggets.com/2021/09/sas-popular-certifications-data-analytics-skills.html

• ebook: Learn Data Science with R – free download

  Check out this new book for data science beginners with many practical examples that covers statistics, R, graphing, and machine learning. As a source to learn the full breadth of data science foundations, "Learn Data Science with R" starts at the beginner level and gradually progresses into expert content.

  https://www.kdnuggets.com/2021/09/ebook-learn-data-science-r.html

• 11 Best Data Science Education Platforms

  We cover 11 best Data Science Education platforms for 11 different use cases, ranging from specific languages to hands-on learners, to the best free option.

  https://www.kdnuggets.com/2021/08/11-best-data-science-education-platforms.html

• The Difference Between Data Scientists and ML Engineers">The Difference Between Data Scientists and ML Engineers

  What's the difference? Responsibilities, expertise, and salary expectations.

  https://www.kdnuggets.com/2021/08/difference-between-data-scientists-ml-engineers.html

• 30 Most Asked Machine Learning Questions Answered

  There is always a lot to learn in machine learning. Whether you are new to the field or a seasoned practitioner and ready for a refresher, understanding these key concepts will keep your skills honed in the right direction.

  https://www.kdnuggets.com/2021/08/30-machine-learning-questions-answered.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

• Top Python Data Science Interview Questions

  Six must-know technical concepts and two types of questions to test them.

  https://www.kdnuggets.com/2021/07/top-python-data-science-interview-questions.html

• Advice for Learning Data Science from Google’s Director of Research">Advice for Learning Data Science from Google’s Director of Research

  Surfing the professional career wave in data science is a hot prospect for many looking to get their start in the world. The digital revolution continues to create many exciting new opportunities. But, jumping in too fast without fully establishing your foundational skills can be detrimental to your success, as is suggested by this advice for data science newbies from Peter Norvig, the Director of Research at Google.

  https://www.kdnuggets.com/2021/07/google-advice-learning-data-science.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

• Streamlit Tips, Tricks, and Hacks for Data Scientists

  Today, I am going to talk about a few tips that I learned within more than a year of using Streamlit, that you can also use to unleash your powerful DS/AI/ML (whatever they may be) applications.

  https://www.kdnuggets.com/2021/07/streamlit-tips-tricks-hacks-data-scientists.html

• How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?">How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?

  A few easy (and not-so-easy) ways to prove to employers that your skills and attitudes place you in a higher bracket.

  https://www.kdnuggets.com/2021/07/distinguish-yourself-hundreds-other-data-science-candidates.html

• How to Use NVIDIA GPU Accelerated Libraries

  If you are wondering how you can take advantage of NVIDIA GPU accelerated libraries for your AI projects, this guide will help answer questions and get you started on the right path.

  https://www.kdnuggets.com/2021/07/nvidia-gpu-accelerated-libraries.html

• The 7 Best Open Source AI Libraries You May Not Have Heard Of

  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.html

• How a Single Mistake Wasted 3 Years of My Data Science Journey

  Self-paced courses are just sleeping pills; Industry experts are the right choice.

  https://www.kdnuggets.com/2021/06/single-mistake-wasted-3-years-data-science.html

• Will There Be a Shortage of Data Science Jobs in the Next 5 Years?">Will There Be a Shortage of Data Science Jobs in the Next 5 Years?

  The data science workflow is getting automated day by day.

  https://www.kdnuggets.com/2021/06/shortage-data-science-jobs-5-years.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• Super Charge Python with Pandas on GPUs Using Saturn Cloud

  Saturn Cloud is a tool that allows you to have 10 hours of free GPU computing and 3 hours of Dask Cluster computing a month for free. In this tutorial, you will learn how to use these free resources to process data using Pandas on a GPU. The experiments show that Pandas is over 1,000,000% slower on a CPU as compared to running Pandas on a Dask cluster of GPUs.

  https://www.kdnuggets.com/2021/05/super-charge-python-pandas-gpus-saturn-cloud.html

• Getting Started with Reinforcement Learning

  Demystifying some of the main concepts and terminologies associated with Reinforcement Learning and their association with other fields of AI.

  https://www.kdnuggets.com/2021/04/getting-started-reinforcement-learning.html

• Data Science Curriculum for Professionals

  If you are looking to expand or transition your current professional career that is buried in spreadsheet analysis into one powered by data science, then you are in for an exciting but complex journey with much to explore and master. To begin your adventure, following this complete road map to guide you from a gnome in the forest of spreadsheets to an AI wizard known far and wide throughout the kingdom.

  https://www.kdnuggets.com/2021/03/data-science-curriculum-professionals.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

• How to Begin Your NLP Journey

  In this blog post, learn how to process text using Python.

  https://www.kdnuggets.com/2021/03/begin-nlp-journey.html

• 10 resources for data science self-study

  Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science.

  https://www.kdnuggets.com/2021/02/10-resources-data-science-self-study.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

• Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants">Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants

  Kaggle’s survey of ‘State of Data Science and Machine Learning 2020’ covers a lot of diverse topics. In this post, we are going to look at the popularity of cloud computing platforms and products among the data science and ML professionals participated in the survey.

  https://www.kdnuggets.com/2021/01/cloud-computing-data-science-ml-trends-2020-2022-battle-giants.html

• 5 Tools for Effortless Data Science

  The sixth tool is coffee.

  https://www.kdnuggets.com/2021/01/5-tools-effortless-data-science.html

• Best Python IDEs and Code Editors You Should Know">Best Python IDEs and Code Editors You Should Know

  Developing machine learning algorithms requires implementing countless libraries and integrating many supporting tools and software packages. All this magic must be written by you in yet another tool -- the IDE -- that is fundamental to all your code work and can drive your productivity. These top Python IDEs and code editors are among the best tools available for you to consider, and are reviewed with their noteworthy features.

  https://www.kdnuggets.com/2021/01/best-python-ide-code-editors.html

• Where is Marketing Data Science Headed?

  Marketing data science - data science related to marketing - is now a significant part of marketing. Some of it directly competes with traditional marketing research and many marketing researchers may wonder what the future holds in store for it.

  https://www.kdnuggets.com/2021/01/marketing-data-science-headed.html

• 15 Free Data Science, Machine Learning & Statistics eBooks for 2021">15 Free Data Science, Machine Learning & Statistics eBooks for 2021

  We present a curated list of 15 free eBooks compiled in a single location to close out the year.

  https://www.kdnuggets.com/2020/12/15-free-data-science-machine-learning-statistics-ebooks-2021.html

• 2020: A Year Full of Amazing AI Papers — A Review

  So much happened in the world during 2020 that it may have been easy to miss the great progress in the world of AI. To catch you up quickly, check out this curated list of the latest breakthroughs in AI by release date, along with a video explanation, link to an in-depth article, and code.

  https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

• Monte Carlo integration in Python">Monte Carlo integration in Python

  A famous Casino-inspired trick for data science, statistics, and all of science. How to do it in Python?

  https://www.kdnuggets.com/2020/12/monte-carlo-integration-python.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

• Data science certification – why it is important and where to get it?

  Data science jobs are one of most sought after and in-demand jobs in the IT industry right now. In order to get into this field and get these data science jobs, certification is needed and that is widely discussed below.

  https://www.kdnuggets.com/2020/11/greatlearning-data-science-certification.html

• Data Science History and Overview

  In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.

  https://www.kdnuggets.com/2020/11/data-science-history-overview.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

• Is Data Science for Me? 14 Self-examination Questions to Consider">Is Data Science for Me? 14 Self-examination Questions to Consider

  You are intrigued by this exciting new field of Data Science, and you think you want in on the action. The demand remains very high and the salaries are strong. Before taking the leap onto this path, these questions will help you evaluate if you are ready for the challenges and opportunities.

  https://www.kdnuggets.com/2020/11/data-science-14-self-examination-questions.html

• Free From MIT: Intro to Computational Thinking with Julia

  Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic is another freely-available offering from MIT's Open Courseware.

  https://www.kdnuggets.com/2020/11/free-mit-intro-computational-thinking-julia.html

• My Data Science Online Learning Journey on Coursera

  Check out the author's informative list of courses and specializations on Coursera taken to get started on their data science and machine learning journey.

  https://www.kdnuggets.com/2020/11/data-science-online-learning-journey-coursera.html

• Data scientist or machine learning engineer? Which is a better career option?

  In order to build automated data processing systems, we require professionals like Machine Learning Engineers and Data Scientists. But which of these is a better career option right now? Read on to find out.

  https://www.kdnuggets.com/2020/11/greatlearning-data-scientist-machine-learning-engineer.html

• How to become a Data Scientist: a step-by-step guide">How to become a Data Scientist: a step-by-step guide

  Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.

  https://www.kdnuggets.com/2020/10/greatlearning-become-data-scientist-guide.html

• How to ace the data science coding challenge">How to ace the data science coding challenge

  Preparing to interview for a Data Scientist position takes preparation and practice, and then it could all boil down to a final review of your skills. Based on personal experience, these tips on how to approach such a review will help you excel in the coding challenge project for your next interview.

  https://www.kdnuggets.com/2020/10/ace-data-science-coding-challenge.html

• Getting Started with PyTorch

  A practical walkthrough on how to use PyTorch for data analysis and inference.

  https://www.kdnuggets.com/2020/10/getting-started-pytorch.html

• 10 Best Machine Learning Courses in 2020">10 Best Machine Learning Courses in 2020

  If you are ready to take your career in machine learning to the next level, then these top 10 Machine Learning Courses covering both practical and theoretical work will help you excel.

  https://www.kdnuggets.com/2020/10/10-best-machine-learning-courses-2020.html

• The Online Courses You Must Take to be a Better Data Scientist

  These select courses have proved to be precious online resources which helped make the author a better data scientist today.

  https://www.kdnuggets.com/2020/09/online-courses-better-data-scientist.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

• Statistics with Julia: The Free eBook">Statistics with Julia: The Free eBook

  This free eBook is a draft copy of the upcoming Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. Interested in learning Julia for data science? This might be the best intro out there.

  https://www.kdnuggets.com/2020/09/statistics-julia-free-ebook.html

• An Introduction to NLP and 5 Tips for Raising Your Game

  This article is a collection of things the author would like to have known when they started out in NLP. Perhaps it will be useful for you.

  https://www.kdnuggets.com/2020/09/introduction-nlp-5-tips-raising-your-game.html

• Top Online Masters in Analytics, Business Analytics, Data Science – Updated">Top Online Masters in Analytics, Business Analytics, Data Science – Updated

  We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2020/09/best-online-masters-data-science-analytics-online.html

• Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune

  With ML models serving real people, misclassified cases (which are a natural consequence of using ML) are affecting peoples’ lives and sometimes treating them very unfairly. It makes the ability to explain your models’ predictions a requirement rather than just a nice to have.

  https://www.kdnuggets.com/2020/08/explainable-reproducible-machine-learning-model-development-dalex-neptune.html

• How to Optimize Your CV for a Data Scientist Career">How to Optimize Your CV for a Data Scientist Career

  As the number of data science positions continues to grow dramatically, so does the number of data scientists in the marketplace. Follow these expert tips and examples to help make your resume and job applications stand out in an increasingly competitive field.

  https://www.kdnuggets.com/2020/08/optimize-cv-data-scientist-career.html

• These Data Science Skills will be your Superpower">These Data Science Skills will be your Superpower

  Learning data science means learning the hard skills of statistics, programming, and machine learning. To complete your training, a broader set of soft skills will round out your capabilities as an effective and successful professional Data Scientist.

  https://www.kdnuggets.com/2020/08/data-science-skills-superpower.html

• Data Science Internship Interview Questions

  Data science is an attractive field because not only is it lucrative, but you can have opportunities to work on interesting projects, and you’re always learning new things. If you're trying to get started from the ground up, then review this guide to prepare for the interview essentials.

  https://www.kdnuggets.com/2020/08/data-science-internship-interview-questions.html

• Exploring GPT-3: A New Breakthrough in Language Generation

  GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.

  https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.html

• Awesome Machine Learning and AI Courses">Awesome Machine Learning and AI Courses

  Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures.

  https://www.kdnuggets.com/2020/07/awesome-machine-learning-ai-courses.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

• 5 Fantastic Natural Language Processing Books

  This curated collection of 5 natural language processing books attempts to cover a number of different aspects of the field, balancing the practical and the theoretical. Check out these 5 fantastic selections now in order to improve your NLP skills.

  https://www.kdnuggets.com/2020/07/5-fantastic-nlp-books.html

• Data Science MOOCs are too Superficial">Data Science MOOCs are too Superficial

  Most massive open online courses are too superficial because they offer introductory-level courses. For in-depth knowledge, more is needed to increase your knowledge and expertise after establishing a foundation.

  https://www.kdnuggets.com/2020/07/data-science-moocs-superficial.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

• Top 6 Reasons Data Scientists Should Know Java

  There are many reasons why data scientists should learn Java. Read this overview of 6 specific reasons to help decide if Java might be right for your projects.

  https://www.kdnuggets.com/2020/06/top-6-reasons-data-scientists-know-java.html

• Natural Language Processing with Python: The Free eBook">Natural Language Processing with Python: The Free eBook

  This free eBook is an introduction to natural language processing, and to NLTK, one of the most prevalent Python NLP libraries.

  https://www.kdnuggets.com/2020/06/natural-language-processing-python-free-ebook.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

• What You Need to Know About Deep Reinforcement Learning

  How does deep learning solve the challenges of scale and complexity in reinforcement learning? Learn how combining these approaches will make more progress toward the notion of Artificial General Intelligence.

  https://www.kdnuggets.com/2020/05/deep-reinforcement-learning.html

• Beginners Learning Path for Machine Learning">Beginners Learning Path for Machine Learning

  So, you are interested in machine learning? Here is your complete learning path to start your career in the field.

  https://www.kdnuggets.com/2020/05/beginners-learning-path-machine-learning.html

• Introducing Brain Simulator II: A New Platform for AGI Experimentation

  A growing consensus of researchers contend that new algorithms are needed to transform narrow AI to AGI. Brain Simulator II is free software for new algorithm development targeted at AGI that you can experiment with and participate in its development.

  https://www.kdnuggets.com/2020/04/brain-simulator-new-platform-agi.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

• Find Your Perfect Fit: A Quick Guide for Job Roles in the Data World

  Data related positions are considered the hottest in the job market during the last couple of years. While everyone wants to join the party and enter this fascinating field, it is essential to first get an understanding. In this quick guide, I’ll do my best to dispel the confusion by crystalizing the essence of the different positions.

  https://www.kdnuggets.com/2020/04/find-perfect-fit-data-job-roles-guide.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

• Exploring TensorFlow Quantum, Google’s New Framework for Creating Quantum Machine Learning Models

  TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.

  https://www.kdnuggets.com/2020/03/tensorflow-quantum-framework-quantum-machine-learning-models.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

• 50 Must-Read Free Books For Every Data Scientist in 2020">50 Must-Read Free Books For Every Data Scientist in 2020

  In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

  https://www.kdnuggets.com/2020/03/50-must-read-free-books-every-data-scientist-2020.html

• Topics

    In order to best organize our content, KDnuggets publishes articles which are categorized into the the following topics.   Artificial Intelligence Here you will Read more »

  https://www.kdnuggets.com/topic

• Data Science Curriculum for self-study

  Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary for the job.

  https://www.kdnuggets.com/2020/02/data-science-curriculum-self-study.html

• Python and R Courses for Data Science">Python and R Courses for Data Science

  Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.

  https://www.kdnuggets.com/2020/02/python-r-courses-data-science.html

• Probability Distributions in Data Science">Probability Distributions in Data Science

  Some machine learning models are designed to work best under some distribution assumptions. Therefore, knowing with which distributions we are working with can help us to identify which models are best to use.

  https://www.kdnuggets.com/2020/02/probability-distributions-data-science.html

• Free Mathematics Courses for Data Science & Machine Learning">Free Mathematics Courses for Data Science & Machine Learning

  It's no secret that mathematics is the foundation of data science. Here are a selection of courses to help increase your maths skills to excel in data science, machine learning, and beyond.

  https://www.kdnuggets.com/2020/02/free-mathematics-courses-data-science-machine-learning.html

• Microsoft Open Sources ZeRO and DeepSpeed: The Technologies Behind the Biggest Language Model in History

  The two efforts enable the training of deep learning models at massive scale.

  https://www.kdnuggets.com/2020/02/microsoft-open-sources-zero-deepspeed-language-model.html

• Hand labeling is the past. The future is #NoLabel AI

  Data labeling is so hot right now… but could this rapidly emerging market face disruption from a small team at Stanford and the Snorkel open source project, which enables highly efficient programmatic labeling that is 10 to 1,000x as efficient as hand labeling?

  https://www.kdnuggets.com/2020/02/hand-labeling-past-future-nolabel-ai.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

• Deep Neural Networks

  We examine the features and applications of a deep neural network.

  https://www.kdnuggets.com/2020/02/deep-neural-networks.html

• Sharing your machine learning models through a common API

  DEEPaaS API is a software component developed to expose machine learning models through a REST API. In this article we describe how to do it.

  https://www.kdnuggets.com/2020/02/sharing-machine-learning-models-common-api.html

• Optimal Estimation Algorithms: Kalman and Particle Filters

  An introduction to the Kalman and Particle Filters and their applications in fields such as Robotics and Reinforcement Learning.

  https://www.kdnuggets.com/2020/02/optimal-estimation-algorithms-kalman-particle-filters.html

• Amazon Gets Into the AutoML Race with AutoGluon: Some AutoML Architectures You Should Know About

  Amazon, Microsoft, Salesforce, Waymo have produced some of the most innovative AutoML architectures in the market.

  https://www.kdnuggets.com/2020/01/amazon-automl-autogluon-architectures-know-about.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

• Top 9 Mobile Apps for Learning and Practicing Data Science">Top 9 Mobile Apps for Learning and Practicing Data Science

  This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.

  https://www.kdnuggets.com/2020/01/top-9-mobile-apps-learning-practicing-data-science.html

• The Book to Start You on Machine Learning">The Book to Start You on Machine Learning

  This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

  https://www.kdnuggets.com/2020/01/book-start-machine-learning.html