Search results for Machine Learning

    Found 98 documents, 10322 searched:

  • Getting Started with Machine Learning in One Hour!

    ...nnaldas, Microsoft. I was planning agenda for my one hour talk. Conveying the learning paths, setting up the environment and explaining the important machine learning concepts finally made it to agenda after a lot of contemplation and thought. I initially thought about various ways this talk could...

    https://www.kdnuggets.com/2017/11/getting-started-machine-learning-one-hour.html

  • Amazon Machine Learning: Nice and Easy or Overly Simple?

    …the Open Data Science blog) Machine Learning as a Service (MLaaS) promises to put data science within the reach of companies. In that context, Amazon Machine Learning is a predictive analytics service with binary/multiclass classification and linear regression features. The service offers a simple…

    https://www.kdnuggets.com/2016/02/amazon-machine-learning-nice-easy-simple.html

  • 5 Best Machine Learning APIs for Data Science

    …, IBM, Amazon, and Microsoft helping businesses process big data by building Machine Learning APIs so that organizations can make the best use of the machine learning technology. Machine Learning is the big frontier in big data innovation but it is daunting for people who are not tech geeks or data…

    https://www.kdnuggets.com/2015/11/machine-learning-apis-data-science.html

  • The Current State of Automated Machine Learning

    ...fication and adoption, present a pair of contemporary tools for its pursuit, and discuss AutoML's anticipated future and direction. What is Automated Machine Learning?   We can talk about what automated machine learning is, and we can talk about what automated machine learning is not. AutoML...

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

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

    ...initiative without much investment, which would be the right move if you are new to data science and just want to grab the low hanging fruit. One of Machine Learning most inspiring stories is the one about a Japanese farmer who decided to sort cucumbers automatically to help his parents with this...

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

  • 7 Steps to Mastering Machine Learning With Python

    ...mplement one another? What is the best order in which to use selected resources? Moving forward, I make the assumption that you are not an expert in: Machine learning Python Any of Python's machine learning, scientific computing, or data analysis libraries It would probably be helpful to have some...

    https://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html

  • Top Stories

    ...Vocabulary for NLP Tasks in Python - Nov 07, 2019. Previous weeks top stories: Oct 28 - Nov 3: 5 Statistical Traps Data Scientists Should Avoid; Top Machine Learning Software Tools for Developers Oct 21-27: Everything a Data Scientist Should Know About Data Management; How YouTube is Recommending...

    https://www.kdnuggets.com/news/top-stories.html

  • The Essence of Machine Learning">Gold BlogThe Essence of Machine Learning

    ...about capturing the essence of machine learning. In the past, you have undoubtedly explored a variety of in-depth and semi in-depth offerings on what machine learning is, and explored its relationships to numerous other topics. Starting from some initial common point of reference when discussing...

    https://www.kdnuggets.com/2018/12/essence-machine-learning.html

  • The 8 Neural Network Architectures Machine Learning Researchers Need to Learn">Gold BlogThe 8 Neural Network Architectures Machine Learning Researchers Need to Learn

    comments Why do we need Machine Learning? Machine learning is needed for tasks that are too complex for humans to code directly. Some tasks are so complex that it is impractical, if not impossible, for humans to work out all of the nuances and code for them explicitly. So instead, we provide a...

    https://www.kdnuggets.com/2018/02/8-neural-network-architectures-machine-learning-researchers-need-learn.html

  • Machine Learning Meets Humans – Insights from HUML 2016

    …Living Technology, hosted roughly 30 participants and broadly addressed the social impacts and ethical problems stemming from the wide-spread use of machine learning. HUML joins a growing number workshops for critical voices in the ML community. These include Fairness, Accountability and…

    https://www.kdnuggets.com/2017/01/machine-learning-humans-huml-2016.html

  • A Complete Guide to Choosing the Best Machine Learning Course">Silver BlogA Complete Guide to Choosing the Best Machine Learning Course

    Sponsored Post. By Simplilearn Why Should You Choose Machine Learning as a Career? With the machine learning market size expected to grow from $1.03 Billion USD in 2016 to $8.81 Billion USD by 2022, it can almost be said that machine learning is taking over the world. With that, there is a growing...

    https://www.kdnuggets.com/2018/11/simplilearn-complete-guide-machine-learning-course.html

  • 15 Minute Guide to Choose Effective Courses for Machine Learning and Data Science

    ...elective course) was ‘first order predicate calculus’, a remnant of the so-called ‘old AI’ or knowledge-engineering approach as opposed to the newer machine learning based approach. I had to start somewhere to learn the basics and then study my way deep. The obvious choice was MOOC (Massive Open...

    https://www.kdnuggets.com/2017/12/guide-effective-courses-machine-learning-data-science.html

  • Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment

    ...rategies, and nearly 28 percent considered themselves to be at a scale-up / transforming stage with their initiatives. Organizations are investing in Machine Learning. Among current ML implementers, we see a great increase in the number of data scientist when companies move up the AI maturity...

    https://www.kdnuggets.com/2019/08/machine-learning-happening-now-survey-organizational-adoption-implementation-investment.html

  • The Foundations of Algorithmic Bias

    …cates these concerns. Traditional software is typically composed from simple, hand-coded logic rules. IF condition X holds THEN perform action Y. But machine learning relies on complex statistical models to discover patterns in large datasets. Take loan approval for instance. Given years of credit…

    https://www.kdnuggets.com/2016/11/foundations-algorithmic-bias.html

  • 12 Useful Things to Know About Machine Learning">Silver Blog12 Useful Things to Know About Machine Learning

    ...ten feasible and cost-effective where manual programming is not. As more data becomes available, more ambitious problems can be tackled. As a result, machine learning is widely used in computer sincere and other fields. However, developing successful machine learning applications requires a...

    https://www.kdnuggets.com/2018/04/12-useful-things-know-about-machine-learning.html

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

    ...on empty-handed. Data scientists have their own weapons -- machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts. And that’s...

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

  • Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018">Gold BlogMachine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018

    ...nce, and Machine Learning for their opinion on the most important developments of 2017 and key trends they 2018. This post considers what happened in Machine Learning & Artificial Intelligence this year, and what may be on the horizon for 2018. Specifically, we asked experts in this area: "What...

    https://www.kdnuggets.com/2017/12/machine-learning-ai-main-developments-2017-key-trends-2018.html

  • A Practical Guide to Machine Learning: Understand, Differentiate, and Apply">Silver Blog, June 2017A Practical Guide to Machine Learning: Understand, Differentiate, and Apply

    ...now clear that Machine Learning represents the new frontier in analytics, and is the answer to how companies can capitalize on the data opportunity. Machine Learning was first defined by Arthur Samuel in 1959 as a “Field of study that gives computers the ability to learn without being explicitly...

    https://www.kdnuggets.com/2017/06/practical-guide-machine-learning-understand-differentiate-apply.html

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

    ...ine Learning, Predictive Analytics and what key trends you expect in 2018? Among main themes were AI and Deep Learning - both real progress and hype, Machine Learning, Security, Quantum Computing, AlphaGo Zero, and more. Read the opinions of Kirk D. Borne, Tom Davenport, Jill Dyche, Bob E. Hayes,...

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

  • AI, Data Science, Machine Learning: Main Developments in 2016, Key Trends in 2017

    ...posts outlining expert opinions in data science, machine learning, artificial intelligence, and related fields. See these previous iterations below: Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017 Big Data: Main Developments in 2016 and Key Trends in...

    https://www.kdnuggets.com/2017/01/ai-data-science-machine-learning-key-trends.html

  • 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python

    comments By Daniel Bourke, Machine Learning Engineer Photo by Sam Bourke. Thank you Sam.   Two years ago, I started learning machine learning online on my own. I shared my journey through YouTube and my blog. I had no idea what I was doing. I’d never coded before but decided I wanted to learn...

    https://www.kdnuggets.com/2019/09/5-beginner-friendly-steps-learn-machine-learning-data-science-python.html

  • Consulting Companies in Analytics, Data Mining, Data Science, and Machine Learning

    ...ll verticals. Schindellegi, Switzerland. Aiaioo Labs, a research lab and consultancy specializing in text analytics (natural language processing) and machine learning. Algolytics (former StatConsulting), software solutions and consulting in predictive analytics, risk management, data quality,...

    https://www.kdnuggets.com/companies/consulting.html

  • Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017">Gold BlogMachine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017

    ...ll occupy us for years to come. These are still early days for Deep Learning and more broadly for Machine Learning. Ajit Jaokar, #Datascience, #IoT, #MachineLearning, #BigData, Mobile,#Smartcities, #edtech (@feynlabs + @countdowncode) Teaching (@forumoxford + @citysciences) 2017 will be a big year...

    https://www.kdnuggets.com/2016/12/machine-learning-artificial-intelligence-main-developments-2016-key-trends-2017.html

  • Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Gold BlogMachine Learning & AI Main Developments in 2018 and Key Trends for 2019

    ...achel Thomas, and Daniel Tunkelang. Key themes singled out by these experts include deep learning advancements, transfer learning, the limitations of machine learning, the changing landscape of natural language processing, and much more. Be sure to check out collected opinions we shared last week...

    https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

  • How AI will transform healthcare (and can it fix the US healthcare system?)">Silver BlogHow AI will transform healthcare (and can it fix the US healthcare system?)

    ...new to AI, Machine Learning, and Deep Learning, I recommend taking a look at the following article entitled "An Introduction to AI." I will refer to Machine Learning and Deep Learning as being subsets of AI. Furthermore, this article is non-exhaustive in relation to potential applications of AI to...

    https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

  • Data Science Predicting The Future

    ...n analysis, logistic regression analysis, clustering, factor analysis, and time series. The output of each of these feeds into the more sophisticated machine learning analytics, but let’s first review them individually. A quick side-note. Some in the data science industry refer to several of these...

    https://www.kdnuggets.com/2018/06/data-science-predicting-future.html

  • 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition">Gold Blog 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition

    comments Are you interested in learning more about machine learning with Python? I recently wrote 7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition, a first step in an attempt to updated a pair of posts I wrote some time back (7 Steps to Mastering Machine Learning With Python...

    https://www.kdnuggets.com/2019/06/7-steps-mastering-intermediate-machine-learning-python.html

  • Implementing Automated Machine Learning Systems with Open Source Tools

    ...ning down the main points, as well as a foray into the practical, feel free to peruse these articles before moving on. The Current State of Automated Machine Learning Automated Machine Learning vs Automated Data Science Using AutoML to Generate Machine Learning Pipelines with TPOT In my view, the...

    https://www.kdnuggets.com/2018/10/implementing-automated-machine-learning-open-source-path.html

  • Learning Machine Learning vs Learning Data Science">Gold BlogLearning Machine Learning vs Learning Data Science

    ...place. This article will clarify some important and often-overlooked distinctions between the two to help you better focus your learning and hiring. Machine learning versus data science Machine learning has seen much hype from journalists who are not always careful with their terminology. In...

    https://www.kdnuggets.com/2018/12/learning-machine-learning-data-science.html

  • 5 EBooks to Read Before Getting into A Machine Learning Career">Gold Blog5 EBooks to Read Before Getting into A Machine Learning Career

    ...e very well-known, I have opted to move past these "regulars" and seek out lesser-known and more niche options for readers. Interested in a career in machine learning? Don't know where to start? Well, there's always here, a collection of tutorials on pursuing machine learning in the Python...

    https://www.kdnuggets.com/2016/10/5-free-ebooks-machine-learning-career.html

  • Machine Learning vs. Statistics: The Texas Death Match of Data Science">Silver Blog, Aug 2017Machine Learning vs. Statistics: The Texas Death Match of Data Science

    ...ception: both uncertain where to lead the conversation, but painfully aware of the potential for awkwardness. This is caused in part by the fact that Machine Learning has adopted many of Statistics’ methods, but was never intended to replace statistics, or even to have a statistical basis...

    https://www.kdnuggets.com/2017/08/machine-learning-vs-statistics.html

  • Top 10 Machine Learning Videos on YouTube, updated">Silver Blog, May 2017Top 10 Machine Learning Videos on YouTube, updated

    ...figure out what's worth watching, especially since 300 hours of video are uploaded to YouTube every minute. Here we bring you the most popular recent Machine Learning videos worth watching. This post updates a previous very popular post Top 10 Machine Learning Videos on YouTube from 2015. We also...

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

  • Human Interpretable Machine Learning (Part 1) — The Need and Importance of Model Interpretation

    ...ology, healthcare, science and many more. Rather than just running lab experiments to publish a research paper, the key objective of data science and machine learning in the 21st century has changed to tackling and solving real-world problems, automating complex tasks and making our life easier and...

    https://www.kdnuggets.com/2018/06/human-interpretable-machine-learning-need-importance-model-interpretation.html

  • Top Machine Learning MOOCs and Online Lectures: A Comprehensive Survey

    ...for these courses. You will get a feel of how these courses give you a stack of skills in your arsenal and how you can use them to develop practical machine learning systems. Another important aspect is the language and packages one use to implement the self contained assignments. Do you want to...

    https://www.kdnuggets.com/2016/07/top-machine-learning-moocs-online-lectures.html

  • 12 Things I Learned During My First Year as a Machine Learning Engineer

    ...Bourke. Machine learning and data science are both broad terms. What one data scientist does can be very different from another. The same goes for a machine learning engineer. What’s common is using the past (data) to understand or predict (build models) the future. To put the points below in...

    https://www.kdnuggets.com/2019/07/12-things-learned-machine-learning-engineer.html

  • The Best Advice From Quora on ‘How to Learn Machine Learning’

    .... How do I learn machine learning? Straightforward question. Not-so-straightforward answer. There are obviously a number of ways to go about learning machine learning, with books, courses, and degree programs all being great places to start. Like any number of topics a newcomer may delve into,...

    https://www.kdnuggets.com/2015/10/learning-machine-learning-quora.html

  • What are Some “Advanced” AI and Machine Learning Online Courses?

    ...d by the TDS Team), I discussed, at length, where you can find MOOC (Massive Open Online Course) for jump-starting your journey into data science and machine learning. That article assumed the reader to be a beginner and covers essential MOOCs, which are optimized for basic and intermediate...

    https://www.kdnuggets.com/2019/02/some-advanced-ai-machine-learning-online-courses.html

  • 10 Things Everyone Should Know About Machine Learning">Silver Blog, Sep 201710 Things Everyone Should Know About Machine Learning

    ...Twiggle. As someone who often finds himself explaining machine learning to non-experts, I offer the following list as a public service announcement. Machine learning means learning from data ; AI is a buzzword. Machine learning lives up to the hype: there are an incredible number of problems that...

    https://www.kdnuggets.com/2017/09/10-things-everyone-know-machine-learning.html

  • 7 More Steps to Mastering Machine Learning With Python">Silver Blog, 20177 More Steps to Mastering Machine Learning With Python

    ...web you don't know where to begin? Or maybe you have finished the first 7 steps and are looking for some follow-up material, beyond the introductory? Machine learning algorithms. This post is the second installment of the 7 Steps to Mastering Machine Learning in Python series (since there are 2...

    https://www.kdnuggets.com/2017/03/seven-more-steps-machine-learning-python.html

  • Top 15 Frameworks for Machine Learning Experts

    …rks reliably, quickly, and at-scale. They work closely with data scientist to understand the theoretical and business aspect of it. In the context of machine learning, the main summary of the differences is the following: Machine learning engineers build, implement, and maintain production machine

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

  • Automated Machine Learning vs Automated Data Science">Silver BlogAutomated Machine Learning vs Automated Data Science

    comments Automated machine learning is continually gaining increased exposure, yet there still seems to be some confusion as to what automated machine learning actually is. Is it the same thing as automated data science? Let's start by looking at what data science and machine learning are, as...

    https://www.kdnuggets.com/2018/07/automated-machine-learning-vs-automated-data-science.html

  • How to Build a Machine Learning Team When You Are Not Google or Facebook

    ...ave been asking me the same question, “How do I apply machine learning to my business?” These folks know enough to have a sense of good use cases for machine learning. Where everyone gets stuck is actually making it work, hiring people, and making them successful. I’ll outline my three main...

    https://www.kdnuggets.com/2018/11/machine-learning-team-when-not-google-facebook.html

  • If you’re a developer transitioning into data science, here are your best resources">Gold Blog If you’re a developer transitioning into data science, here are your best resources

    ...bsp; First things first, we should distinguish between two complementary roles: Data Scientist versus Data Engineer. While both of these roles handle machine learning models, their interaction with these models as well as the the requirements and nature of the work for Data Scientists and Data...

    https://www.kdnuggets.com/2019/06/developer-transitioning-data-science-best-resources.html

  • How To Stay Competitive In Machine Learning Business

    …ern for the early adopters and a driver for fast followers. Staying competitive in a rapidly moving, emergent technology is already a challenge. With machine learning, that’s compounded by technical complexity, a talent shortage, and a constantly changing landscape of open source products….

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

  • Automated Machine Learning in Python

    comments As we already know, machine learning is a way of automating complex problem-solving. But can machine learning itself be automated? That’s what we’ll explore in this article. By its end, we’ll have answered that question and shown practical ways it can be accomplished.   Automated...

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

  • Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018">Silver BlogIndustry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018

    ...trends for 2018?" Some of the main topics that emerged are: AI is the new Big Data, More data moving to the cloud, Hybrid Cloud, Deep Learning Hype, Machine Learning in the Enterprise, AI/ML becoming industry specific, Self-Service BI, Automated Data Science/Machine Learning, Kubernetes, GDPR,...

    https://www.kdnuggets.com/2017/12/industry-predictions-main-developments-2017-trends.html

  • The Data Fabric for Machine Learning – Part 1">Gold BlogThe Data Fabric for Machine Learning – Part 1

    comments Image by Héizel Vázquez Read part 1-b: Deep Learning on the data fabric here: The Data Fabric for Machine Learning. Part 1-b: Deep Learning on Graphs. Deep learning on graphs is taking more importance by the day. Here I’ll show the basics of thinking about machine…towardsdatascience.com...

    https://www.kdnuggets.com/2019/05/data-fabric-machine-learning-part-1.html

  • Is Regression Analysis Really Machine Learning?">Gold Blog, Jun 2017Is Regression Analysis Really Machine Learning?

    ...at's a broad topic which has been treated many times. Much of what has been written on this topic is good, much is bad. But I find that the stats vs. machine learning argument, at that level, tends to focus on the forest at the cost of completely overlooking the trees. For example, Aatash Shah has...

    https://www.kdnuggets.com/2017/06/regression-analysis-really-machine-learning.html

  • End To End Guide For Machine Learning Projects">Gold BlogEnd To End Guide For Machine Learning Projects

    ...implement a machine learning project. We find many informative articles online providing an in-depth coverage of how we need to implement parts of a machine learning/data science project but at times, we just need high level steps offering clear guidance. When I was new to machine learning and...

    https://www.kdnuggets.com/2019/01/end-to-end-guide-machine-learning-project.html

  • Top 10 Machine Learning Projects on Github">2016 Silver BlogTop 10 Machine Learning Projects on Github

    ...e, and central position, of machine learning to the field of data science does not need to be pointed out. The following is an overview of the top 10 machine learning projects on Github.* 1. Scikit-learn Machine learning in Python.   ★ 8641, 5125 The top project is, unsurprisingly, the go-to...

    https://www.kdnuggets.com/2015/12/top-10-machine-learning-github.html

  • Choosing an Open Source Machine Learning Library: TensorFlow, Theano, Torch, scikit-learn, Caffe

    …as been changing the way we use technology to solve business challenges and everyday tasks. This potential has prompted companies to start looking at machine learning as a relevant opportunity rather than a distant, unattainable virtue. We’ve already discussed machine learning as a service tools…

    https://www.kdnuggets.com/2017/11/choosing-open-source-machine-learning-library.html

  • Automated Machine Learning: An Interview with Randy Olson, TPOT Lead Developer

    ...focused on this topic, and generated a handful of interesting ideas and projects. Of note, our readers were introduced to Auto-sklearn, an automated machine learning pipeline generator, via the competition, and learned more about the project in a follow-up interview with its developers. Prior to...

    https://www.kdnuggets.com/2016/11/autoamted-machine-learning-interview-randy-olson-tpot.html

  • Jobs in AI, Analytics, Data Science, Machine Learning

    ...es of action. Research Fellow at Ariel University, Israel. - Nov 11, 2019. Seeking excellent academic individuals for developing and implementing new machine learning algorithms on massively parallel computing machines from nVIDIA to learn from unstructured data. The candidates will study either...

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

  • Explainable Artificial Intelligence (Part 2) – Model Interpretation Strategies

    ...you to take a quick glance at ‘Part I — The Importance of Human Interpretable Machine Learning’ which covers the what and why of human interpretable machine learning and the need and importance of model interpretation along with its scope and criteria. In this article, we will be picking up from...

    https://www.kdnuggets.com/2018/12/explainable-ai-model-interpretation-strategies.html

  • Machine Learning Crash Course: Part 1

    ...d not without good reason. It has already revolutionized fields from image recognition to healthcare to transportation. Yet a typical explanation for machine learning sounds like this: “A computer program is said to learn from experience E with respect to some class of tasks T and performance...

    https://www.kdnuggets.com/2017/05/machine-learning-crash-course-part-1.html

  • Can graph machine learning identify hate speech in online social networks?

    ...to aid in these efforts, especially as a scalable automated system for early detection and prevention. Academic researchers are constantly improving machine learning systems for hate speech classification. Simultaneously, all major social media networks are deploying and constantly fine-tuning...

    https://www.kdnuggets.com/2019/09/graph-machine-learning-hate-speech-social-networks.html

  • AI is a Big Fat Lie

    .... On the other hand, AI does provide some great material for nerdy jokes. So put on your skepticism hat, it's time for an AI-debunkin', slam-dunkin', machine learning-lovin', robopocalypse myth-bustin', smackdown jamboree – yeehaw! In this article, I'll make three points: Unlike AI, machine...

    https://www.kdnuggets.com/2019/01/dr-data-ai-big-fat-lie.html

  • Top Stories of 2017: 10 Free Must-Read Books for Machine Learning and Data Science; Python overtakes R, becomes the leader in Data Science, Machine Learning platforms

    ...gets. We continued to cover interesting and important stories in the intersecting fields of AI, Analytics, Big Data, Data Science, Deep Learning, and Machine Learning. We published over 1200 stories, had over 4.8 million visitors who saw over 14 million pages. Our subscribers have grown to over...

    https://www.kdnuggets.com/2017/12/top-stories-2017.html

  • Machine Learning and Cyber Security Resources">Silver BlogMachine Learning and Cyber Security Resources

    comments By Faizan Ahmad, Fsecurify Image source Data for Machine Learning and Cyber Security: There is one huge source of data for using machine learning in cyber security and that is SecRepo. This website contains all sorts of data that you can use. I have not found a better data source for...

    https://www.kdnuggets.com/2017/01/machine-learning-cyber-security.html

  • Top 20 Python Machine Learning Open Source Projects

    ...b and find that scikit-Learn, PyLearn2 and NuPic are the most actively contributed projects. Explore these popular projects on Github! Fig. 1: Python Machine learning projects on GitHub, with color corresponding to commits/contributors. Bob, Iepy, Nilearn, and NuPIC have the highest such value....

    https://www.kdnuggets.com/2015/06/top-20-python-machine-learning-open-source-projects.html

  • AI & Machine Learning Black Boxes: The Need for Transparency and Accountability

    ...Victoire, Patrick; and Critch, Andrew (2016). Alignment for advanced machine learning systems. Retrieved from https://intelligence.org/files/AlignmentMachineLearning.pdf. Domingos, Pedro (2016, May). Why you need to understand machine learning. World Economic Forum. Retrieved from...

    https://www.kdnuggets.com/2017/04/ai-machine-learning-black-boxes-transparency-accountability.html

  • Machine Learning in Action: Going Beyond Decision Support Data Science

    ...of Canada This article is based on the transcript- with some augmentation- from the “Machine Learning in Production” panel discussion held at Toronto Machine Learning (micro)Summit I hosted in July 2018. The panelists are Inmar Givoni (Uber), Solmaz Shahalizadeh (Shopify), Vincent Wong (Dessa),...

    https://www.kdnuggets.com/2018/11/machine-learning-action-going-beyond-decision-support-data-science.html

  • How Can Machine Learning Affect Your Organizational Data Strategy?

    ...good Data Governance is to bring all information storehouses into a normal stage and institutionalize information use over the undertaking. How Does Machine Learning Impact Data Strategy? This unmistakable clarification from SAS Institute clears up the contrasts between various sorts of Machine...

    https://www.kdnuggets.com/2017/10/machine-learning-affect-organizational-data-strategy.html

  • Making Sense of Machine Learning">Silver Blog, June 2017Making Sense of Machine Learning

    Source: Sebastian Raschka (sebastianraschka.com/Articles/2014_intro_supervised_learning.html)   Machine learning gets a lot of buzz these days, usually in connection with big data and artificial intelligence (AI). But what exactly is it? Broadly speaking, machine learners are computer...

    https://www.kdnuggets.com/2017/06/making-sense-machine-learning.html

  • TPOT: A Python Tool for Automating Data Science

    ...he ability to learn without being explicitly programmed. Despite this common claim, anyone who has worked in the field knows that designing effective machine learning systems is a tedious endeavor, and typically requires considerable experience with machine learning algorithms, expert knowledge of...

    https://www.kdnuggets.com/2016/05/tpot-python-automating-data-science.html

  • 8 Paths to Getting a Machine Learning Job Interview

    ..., even more than getting through the interview. So in this article we're going to help you figure out how to land an interview in the first place for machine learning. This article comes from Jaxson Khan’s Ultimate Guide to Machine Learning Interviews. I separated the section into both traditional...

    https://www.kdnuggets.com/2019/10/8-paths-machine-learning-job-interview.html

  • Explore the world of Bioinformatics with Machine Learning">Gold BlogExplore the world of Bioinformatics with Machine Learning

    ...cine, which consists of targeting custom medical treatments considering individual variability, lifestyle, and environment. Prior to the emergence of machine learning algorithms, bioinformatics algorithms had to be explicitly programmed by hand which, for problems such as protein structure...

    https://www.kdnuggets.com/2019/09/explore-world-bioinformatics-machine-learning.html

  • Customer Churn Prediction Using Machine Learning: Main Approaches and Models

    ...mpany types may use churn rate to measure the effectiveness of cross-department operations and product management. Identifying at-risk customers with machine learning: problem-solving at a glance Companies that constantly monitor how people engage with products, encourage clients to share opinions,...

    https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

  • Most Viewed Machine Learning Talks at Videolectures

    ...uding authors, length, and venue, sorted by views: Introduction To Bayesian Inference, Christopher Bishop, 43045 views, 2:51:04 (November 2, 2009, at Machine Learning Summer School (MLSS), Cambridge 2009) Machine Learning, Probability and Graphical Models, Sam Roweis, 41039 views, 1:02:45 (February...

    https://www.kdnuggets.com/2014/09/most-viewed-machine-learning-talks-videolectures.html

  • How To Fine Tune Your Machine Learning Models To Improve Forecasting Accuracy

    ...ctive model is a crucial step to improve accuracy of the forecasted results. In the recent past, I have written a number of articles that explain how machine learning works and how to enrich and decompose the feature set to improve accuracy of your machine learning models. This article discovers...

    https://www.kdnuggets.com/2019/01/fine-tune-machine-learning-models-forecasting.html

  • 7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition">Gold Blog7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition

    ...ailable material out there for folks who are interested in a crash course in machine learning with Python. Some time ago I wrote 7 Steps to Mastering Machine Learning With Python and 7 More Steps to Mastering Machine Learning With Python, a pair of posts which attempted to aggregate and organize...

    https://www.kdnuggets.com/2019/01/7-steps-mastering-basic-machine-learning-python.html

  • 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

    ...ls each nation might win; but how close could we get to the actual outcomes? It was a tantalizing project ... Online Courses in Predictive Analytics, Machine Learning, Data Science from Statistics.com - Jan 24, 2014. Many interesting online courses covering Decision Trees, Machine Learning Tools,...

    https://www.kdnuggets.com/2014/01/index-old.html

  • The Guerrilla Guide to Machine Learning with R">Silver Blog, May 2017The Guerrilla Guide to Machine Learning with R

    ...he impatient among us who just want to get on with things. Let's be clear: this is assuredly not the path to achieve greatness quickly. With learning machine learning -- much as with machine learning itself -- there is no free lunch. However, getting a practical overview for the purposes of testing...

    https://www.kdnuggets.com/2017/05/guerrilla-guide-machine-learning-r.html

  • 5 More Machine Learning Projects You Can No Longer Overlook

    Last month's post "5 Machine Learning Projects You Can No Longer Overlook" was a well-received piece on 5 lesser-known machine learning projects in the Python ecosystem, and included deep learning libraries, along with auxiliary support, data cleaning, and automation tools. As such, we thought it...

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

  • Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019">Silver BlogIndustry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019

    ...engineering. In 2019, data science automation platforms will capture much of the mind share. Data science automation will cover much wider areas than machine learning automation, including data preparation, feature engineering, machine learning and the production of data science pipelines. These...

    https://www.kdnuggets.com/2018/12/predictions-industry-2019.html

  • Top Stories, Jan 2-8: 5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources

    Most Popular Last Week 5 Machine Learning Projects You Can No Longer Overlook, January, by Matthew Mayo The 10 Algorithms Machine Learning Engineers Need to Know, by James Le Get a data science job, guaranteed Generative Adversarial Networks Hot Topic in Machine Learning Ten Myths About Machine...

    https://www.kdnuggets.com/2017/01/top-news-week-0102-0108.html

  • Machine Learning and Deep Link Graph Analytics: A Powerful Combination

    ...edict outcomes – has become a hot industry topic. With ever-increasing advances in data analysis, storage, and computing power in the last few years, machine learning has been playing an increasingly important role in enterprise applications such as fraud prevention, personalized recommendation,...

    https://www.kdnuggets.com/2019/04/machine-learning-graph-analytics.html

  • Machine Learning vs Statistics">Gold BlogMachine Learning vs Statistics

    ...hah, CEO of Edvancer Eduventures. Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine learning vs. statistics? From a traditional data analytics standpoint, the answer to the above question is simple. Machine Learning is an...

    https://www.kdnuggets.com/2016/11/machine-learning-vs-statistics.html

  • Introduction to Machine Learning for Developers

    ...applications, but many don’t know where to start. One of the most important aspects of developing smart applications is to understand the underlying machine learning models, even if you aren’t the person building them. Whether you are integrating a recommendation system into your app or building a...

    https://www.kdnuggets.com/2016/11/intro-machine-learning-developers.html

  • The Dirty Little Secret Every Data Scientist Knows (but won’t admit)

    ...important general-purpose technology of our era. Throughout my eight years of experience in this industry I have personally observed the benefits of machine learning and don’t deny that the impacts of machine learning can be revolutionary. Despite these accolades, over the years there has been a...

    https://www.kdnuggets.com/2018/04/dirty-little-secret-data-scientist.html

  • Machine Learning Trends and the Future of Artificial Intelligence

    ...Algorithmia. Every company is now a data company, capable of using machine learning in the cloud to deploy intelligent apps at scale, thanks to three machine learning trends: data flywheels, the algorithm economy, and cloud-hosted intelligence. That was the takeaway from the inaugural Machine...

    https://www.kdnuggets.com/2016/06/machine-learning-trends-future-ai.html

  • Using AutoML to Generate Machine Learning Pipelines with TPOT

    ...instead automate these processes. We will use the automated machine learning tool TPOT to do some of our heavy lifting. But first, what is automated machine learning (AutoML)? Data scientist and leading automated machine learning proponent Randy Olson states that effective machine learning design...

    https://www.kdnuggets.com/2018/01/managing-machine-learning-workflows-scikit-learn-pipelines-part-4.html

  • Top May Stories: KDnuggets Poll: Software for Analytics, Data Science, Machine Learning; How to Learn Machine Learning in 10 Days

    ...ges. Most Viewed - Platinum Badge(>24,000 UPV) How to Learn Machine Learning in 10 Days, by Sebastian Raschka Most Viewed - Gold Badges (>12,000 UPV) Machine Learning Workflows in Python from Scratch Part 1: Data Preparation, by Matthew Mayo Deep Learning - Past, Present, and Future, by Henry H....

    https://www.kdnuggets.com/2017/06/top-stories-2017-may.html

  • Approaching (Almost) Any Machine Learning Problem

    ...ringing data to a suitable format such that machine learning models can be applied on that data. This post focuses on the second part, i.e., applying machine learning models, including the preprocessing steps. The pipelines discussed in this post come as a result of over a hundred machine learning...

    https://www.kdnuggets.com/2016/08/approaching-almost-any-machine-learning-problem.html

  • Five Ways Your Safety Depends on Machine Learning

    ...is based on a transcript of The Dr. Data Show episode, “ Five Ways Your Safety Depends on Machine Learning ” (click to view). Your safety depends on machine learning. This technology protects you from harm every day by guiding the maintenance of bridges, buildings, and vehicles, and by guiding...

    https://www.kdnuggets.com/2019/02/dr-data-five-ways-safety-depends-machine-learning.html

  • Deep Learning, Pachinko, and James Watt: Efficiency is the Driver of Uncertainty

    ...ech recognition and language translation. (Editor: this post was written in March 2016, shortly before AlphaGo beat world's top Go player Lee Se-dol) Machine learning is a data driven approach to artificial intelligence. AlphaGo learnt how to play Go by many games played against itself, and by...

    https://www.kdnuggets.com/2016/06/deep-learning-pachinko-james-watt-efficiency-driver-uncertainty.html

  • The High Cost of Maintaining Machine Learning Systems

    ...at NIPS describing the cost of maintaining software that relies on machine learning. Using the idea of technical debt, the authors suggest that while machine learning offers a path to quickly engineering complex systems, the convenience comes with tremendous downstream costs. Technical debt is a...

    https://www.kdnuggets.com/2015/01/high-cost-machine-learning-technical-debt.html

  • Top Stories, Dec 24 – Jan 6: The Essence of Machine Learning; Papers with Code: A Fantastic GitHub Resource for Machine Learning

    Most Popular Last 2 Weeks The Essence of Machine Learning, by Matthew Mayo The cold start problem: how to build your machine learning portfolio, by Edouard Harris A Guide to Decision Trees for Machine Learning and Data Science 9 Must-have skills you need to become a Data Scientist, updated Papers...

    https://www.kdnuggets.com/2019/01/top-news-week-1224-0106.html

  • Top December Stories: Why You Shouldn’t be a Data Science Generalist

    ...  Most Viewed - Gold Badges (>12,000 UPV) Common mistakes when carrying out machine learning and data science, by Jekaterina Kokatjuhha Learning Machine Learning vs Learning Data Science, by Terran Melconian and Trevor Bass (*) Here are the most popular Python IDEs / Editors, by Gregory...

    https://www.kdnuggets.com/2019/01/top-stories-2018-dec.html

  • Top Stories, Oct 2-8: Understanding Machine Learning Algorithms; XGBoost, a Top Machine Learning Method on Kaggle, Explained

    ...chine Learning & Deep Learning Cheat Sheets, by Matthew Mayo Introduction to Blockchains & What It Means to Big Data, by Abhinav Venkat Understanding Machine Learning Algorithms XGBoost, a Top Machine Learning Method on Kaggle, Explained Keras Cheat Sheet: Deep Learning in Python Using Machine...

    https://www.kdnuggets.com/2017/10/top-news-week-1002-1008.html

  • 50 Useful Machine Learning & Prediction APIs

    ...lve, we see numerous mash ups of APIs to experiment with. Get started with this list of selected APIs to explore their capabilities & features in machine learning, prediction, face recognition, image processing, speech recognition etc. Check out where these APIs are put into use! Machine...

    https://www.kdnuggets.com/2015/12/machine-learning-data-science-apis.html

  • Cloud Machine Learning’s Ostrich Mania & Uncanny Valley

    ...can palette could be assessed, an aggressive push into American ostrich ranching absent this diligence would be an unfortunate mistake. Connection to Machine Learning So where's the connection to cloud machine learning services? A slew of recently launched companies plan to offer machine learning /...

    https://www.kdnuggets.com/2015/05/cloud-machine-learning-ostrich-mania-uncanny-valley.html

  • Rethinking 3 Laws of Machine Learning

    …they are no longer qualified to make, such as whether or not to retain documents, how long to keep them, and where to safely store them. Unsupervised machine learning is simply a fancy way of saying “computers teaching themselves,” and it is the key to truly automating not only records management…

    https://www.kdnuggets.com/2017/10/3-laws-machine-learning.html

  • Spark for Scale: Machine Learning for Big Data

    ...learning. While making machines learn from data is fun, the data from real-world scenarios often gets out of hand if you try to implement traditional machine-learning techniques on your computer. To actually use machine learning with big data, it’s crucial to learn how to deal with data that is too...

    https://www.kdnuggets.com/2016/09/spark-scale-machine-learning-big-data.html

  • HPE Haven OnDemand and Microsoft Azure Machine Learning: Power Tools for Developers and Data Scientists

    ...and a variety of other analytics APIs. A full overview of the APIs can be found here. HPE Haven OnDemand is currently making the headlines with their Machine Learning as a Service, which is hosted on Microsoft’s Azure Cloud. Both companies have a machine learning platform; as such, this article...

    https://www.kdnuggets.com/2016/03/hpe-haven-ondemand-microsoft-azure-machine-learning.html

  • When Will We Bow To Our Machine Overlords?

    ...he ability to feel upset when it makes mistakes. The result? We bond with the machine, we console the machine, and we work better and faster with the machine. The machine is no longer a productivity tool. The machine is now a productive colleague. Education. Our education and training approaches...

    https://www.kdnuggets.com/2016/10/when-bow-down-machine-overlords.html

  • What is Machine Behavior?

    ...w DeepMind and Waymo are Using Evolutionary Competition to Train Self-Driving Vehicles This New Google Technique Help Us Understand How Neural Networks are Thinking Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing...

    https://www.kdnuggets.com/2019/09/machine-behavior.html

  • New Speakers Announced for the European Machine Intelligence Summit & Machine Intelligence in Autonomous Vehicles Summit in Amsterdam, 28-29 June

    ...e industry, we will be exploring how AI will have a direct impact on transport, manufacturing, healthcare, retail and more. Predominantly focusing on machine learning, Dr. Neal Lathia is a senior data scientist for Skyscanner and he will discuss how they have bootstrapped a destination recommender...

    https://www.kdnuggets.com/2017/06/rework-european-machine-intelligence-autonomous-vehicles-summit.html

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