Search results for deep learning
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Interpretability is crucial for trusting AI and machine learning
We explain what exactly interpretability is and why it is so important, focusing on its use for data scientists, end users and regulators.https://www.kdnuggets.com/2018/11/interpretability-trust-ai-machine-learning.html
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Bringing Machine Learning Research to Product Commercialization
In this blog post I want to share some of the insights into the differences between academia and industry when applying deep learning to real-world problems as we experienced them at Merantix over the last two years.https://www.kdnuggets.com/2018/11/bringing-machine-learning-research-product-commercialization.html
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10 Free Must-See Courses for Machine Learning and Data Science">10 Free Must-See Courses for Machine Learning and Data Science
Check out a collection of free machine learning and data science courses to kick off your winter learning season.https://www.kdnuggets.com/2018/11/10-free-must-see-courses-machine-learning-data-science.html
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Implementing Automated Machine Learning Systems with Open Source Tools
What if you want to implement an automated machine learning pipeline of your very own, or automate particular aspects of a machine learning pipeline? Rest assured that there is no need to reinvent any wheels.https://www.kdnuggets.com/2018/10/implementing-automated-machine-learning-open-source-path.html
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Introduction to Active Learning
An extensive overview of Active Learning, with an explanation into how it works and can assist with data labeling, as well as its performance and potential limitations.https://www.kdnuggets.com/2018/10/introduction-active-learning.html
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Machine Reading Comprehension: Learning to Ask & Answer
Investigating the dual ask-answer network, covering the embedding, encoding, attention and output layer, as well as the loss function, with code examples to help you get started.https://www.kdnuggets.com/2018/10/machine-reading-comprehension-learning-ask-answer.html
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Top 8 Python Machine Learning Libraries">Top 8 Python Machine Learning Libraries
Part 1 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.https://www.kdnuggets.com/2018/10/top-python-machine-learning-libraries.html
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A Concise Explanation of Learning Algorithms with the Mitchell Paradigm
A single quote from Tom Mitchell can shed light on both the abstract concept and concrete implementations of machine learning algorithms.https://www.kdnuggets.com/2018/10/mitchell-paradigm-concise-explanation-learning-algorithms.html
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Top Stories, Sep 24-30: Machine Learning Cheat Sheets; Learning the Mathematics of Machine Learning
Also: Math for Machine Learning; Introducing Path Analysis Using R; Introduction to Deep Learning; Essential Math for Data Science: Why and How; 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Studyhttps://www.kdnuggets.com/2018/10/top-news-week-0924-0930.html
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More Effective Transfer Learning for NLP
Until recently, the natural language processing community was lacking its ImageNet equivalent — a standardized dataset and training objective to use for training base models.https://www.kdnuggets.com/2018/10/more-effective-transfer-learning-nlp.html
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When Bayes, Ockham, and Shannon come together to define machine learning
A beautiful idea, which binds together concepts from statistics, information theory, and philosophy.https://www.kdnuggets.com/2018/09/when-bayes-ockham-shannon-come-together-define-machine-learning.html
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6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study">6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study
Writing a machine learning algorithm from scratch is an extremely rewarding learning experience. We highlight 6 steps in this process.https://www.kdnuggets.com/2018/09/6-steps-write-machine-learning-algorithm.html
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Machine Learning Cheat Sheets">Machine Learning Cheat Sheets
Check out this collection of machine learning concept cheat sheets based on Stanord CS 229 material, including supervised and unsupervised learning, neural networks, tips & tricks, probability & stats, and algebra & calculus.https://www.kdnuggets.com/2018/09/machine-learning-cheat-sheets.html
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Machine Learning for Text Classification Using SpaCy in Python
In this post, we will demonstrate how text classification can be implemented using spaCy without having any deep learning experience.https://www.kdnuggets.com/2018/09/machine-learning-text-classification-using-spacy-python.html
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Why Automated Feature Engineering Will Change the Way You Do Machine Learning
Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.https://www.kdnuggets.com/2018/08/automated-feature-engineering-will-change-machine-learning.html
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Cartoon: Machine Learning takes a vacation
August is a popular time for vacation, and even hard-working AI may want to take a few epochs off from its training. KDnuggets Cartoon looks at how this might go.https://www.kdnuggets.com/2018/08/cartoon-machine-learning-vacation.html
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Reinforcement Learning: The Business Use Case, Part 2
In this post, I will explore the implementation of reinforcement learning in trading. The Financial industry has been exploring the applications of Artificial Intelligence and Machine Learning for their use-cases, but the monetary risk has prompted reluctance.https://www.kdnuggets.com/2018/08/reinforcement-learning-business-use-case-part-2.html
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Reinforcement Learning: The Business Use Case, Part 1
At base, RL is a complex algorithm for mapping observed entities and measures into some set of actions, while optimizing for a long-term or short-term reward.https://www.kdnuggets.com/2018/08/reinforcement-learning-business-use-case-part-1.html
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Intuitive Ensemble Learning Guide with Gradient Boosting
This tutorial discusses the importance of ensemble learning with gradient boosting as a study case.https://www.kdnuggets.com/2018/07/intuitive-ensemble-learning-guide-gradient-boosting.html
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9 Reasons why your machine learning project will fail
This article explains in detail some of the issues that you may face during your machine learning project.https://www.kdnuggets.com/2018/07/why-machine-learning-project-fail.html
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fast.ai Machine Learning Course Notes
This posts is a collection of a set of fantastic notes on the fast.ai machine learning MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own.https://www.kdnuggets.com/2018/07/suenaga-fast-ai-machine-learning-notes.html
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Deep Quantile Regression
Most Deep Learning frameworks currently focus on giving a best estimate as defined by a loss function. Occasionally something beyond a point estimate is required to make a decision. This is where a distribution would be useful. This article will purely focus on inferring quantiles.https://www.kdnuggets.com/2018/07/deep-quantile-regression.html
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Explaining Reinforcement Learning: Active vs Passive
We examine the required elements to solve an RL problem, compare passive and active reinforcement learning, and review common active and passive RL techniques.https://www.kdnuggets.com/2018/06/explaining-reinforcement-learning-active-passive.html
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How to Execute R and Python in SQL Server with Machine Learning Services
Machine Learning Services in SQL Server eliminates the need for data movement - you can install and run R/Python packages to build Deep Learning and AI applications on data in SQL Server.https://www.kdnuggets.com/2018/06/microsoft-azure-machine-learning-r-python-sql-server.html
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Detecting Sarcasm with Deep Convolutional Neural Networks">Detecting Sarcasm with Deep Convolutional Neural Networks
Detection of sarcasm is important in other areas such as affective computing and sentiment analysis because such expressions can flip the polarity of a sentence.https://www.kdnuggets.com/2018/06/detecting-sarcasm-deep-convolutional-neural-networks.html
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IoT on AWS: Machine Learning Models and Dashboards from Sensor Data
I developed my first IoT project using my notebook as an IoT device and AWS IoT as infrastructure, with this "simple" idea: collect CPU Temperature from my Notebook running on Ubuntu, send to Amazon AWS IoT, save data, make it available for Machine Learning models and dashboards.https://www.kdnuggets.com/2018/06/zimbres-iot-aws-machine-learning-dashboard.html
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5 Machine Learning Projects You Should Not Overlook, June 2018">5 Machine Learning Projects You Should Not Overlook, June 2018
Here is a new installment of 5 more machine learning or machine learning-related projects you may not yet have heard of, but may want to consider checking out!https://www.kdnuggets.com/2018/06/5-machine-learning-projects-overlook-jun-2018.html
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Top May Stories: Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018; Data Science vs Machine Learning vs Data Analytics vs Business Analytics
Also: Boost your data science skills. Learn linear algebra. 10 More Free Must-Read Books for Machine Learning and Data Science.https://www.kdnuggets.com/2018/06/top-stories-2018-may.html
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The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?">The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.https://www.kdnuggets.com/2018/06/ecosystem-data-science-python-victory.html
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Resources For Women In Data Science and Machine Learning
A comprehensive list of resources for Women in Data Science and Machine Learning, including a list of useful tech groups and published lists for finding Women speakers.https://www.kdnuggets.com/2018/06/resources-women-data-science-machine-learning.html
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10 More Free Must-Read Books for Machine Learning and Data Science">10 More Free Must-Read Books for Machine Learning and Data Science
Summer, summer, summertime. Time to sit back and unwind. Or get your hands on some free machine learning and data science books and get your learn on. Check out this selection to get you started.https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html
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Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis">Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
Python continues to eat away at R, RapidMiner gains, SQL is steady, Tensorflow advances pulling along Keras, Hadoop drops, Data Science platforms consolidate, and more.https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html
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How to Organize Data Labeling for Machine Learning: Approaches and Tools
The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.https://www.kdnuggets.com/2018/05/data-labeling-machine-learning.html
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Top Stories, May 7-13: 2018 KDnuggets Analytics, Data Mining, Data Science, Machine Learning Software Poll; WTF is a Tensor?!?
5 Reasons "Logistic Regression" should be the first thing you learn when becoming a Data Scientist; PyTorch Tensor Basics; Top 7 Data Science Use Cases in Finance; Detecting Breast Cancer with Deep Learning; To SQL or not To SQL: that is the question!https://www.kdnuggets.com/2018/05/top-news-week-0507-0513.html
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The Executive Guide to Data Science and Machine Learning
This article provides a short introductory guide for executives curious about data science or commonly used terms they may encounter when working with their data team. It may also be of interest to other business professionals who are collaborating with data teams or trying to learn data science within their unit.https://www.kdnuggets.com/2018/05/executive-guide-data-science-machine-learning.html
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7 Useful Suggestions from Andrew Ng “Machine Learning Yearning”
Machine Learning Yearning is a book by AI and Deep Learning guru Andrew Ng, focusing on how to make machine learning algorithms work and how to structure machine learning projects. Here we present 7 very useful suggestions from the book.https://www.kdnuggets.com/2018/05/7-useful-suggestions-machine-learning-yearning.html
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Top Data Science, Machine Learning Courses from Udemy – May 2018
Learn Machine Learning, Data Science, Python, Azure Machine Learning, and more with Udemy Mother's Day $9.99 sale - get top courses from leading instructors.https://www.kdnuggets.com/2018/05/udemy-top-data-science-machine-learning-courses.html
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2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?">2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
Vote in KDnuggets 19th Annual Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?https://www.kdnuggets.com/2018/05/new-poll-software-analytics-data-mining-data-science-machine-learning.html
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50+ Useful Machine Learning & Prediction APIs, 2018 Edition">50+ Useful Machine Learning & Prediction APIs, 2018 Edition
Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.https://www.kdnuggets.com/2018/05/50-useful-machine-learning-prediction-apis-2018-edition.html
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What should be focus areas for Machine Learning / AI in 2018?
This article looks at what are the recent trends in data science/ML/AI and suggests subareas DS groups need to focus on.https://www.kdnuggets.com/2018/04/focus-areas-ml-ai-2018.html
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Top Stories, Apr 16-22: 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning; Python Regular Expressions Cheat Sheet
Also: Key Algorithms and Statistical Models for Aspiring Data Scientists; Why Deep Learning is perfect for NLP; Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step; Top 8 Free Must-Read Books on Deep Learninghttps://www.kdnuggets.com/2018/04/top-news-week-0416-0422.html
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7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning">7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning
It is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.https://www.kdnuggets.com/2018/04/7-books-mathematical-foundations-data-science.html
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Robust Word2Vec Models with Gensim & Applying Word2Vec Features for Machine Learning Tasks
The gensim framework, created by Radim Řehůřek consists of a robust, efficient and scalable implementation of the Word2Vec model.https://www.kdnuggets.com/2018/04/robust-word2vec-models-gensim.html
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Are High Level APIs Dumbing Down Machine Learning?
Libraries like Keras simplify the construction of neural networks, but are they impeding on practitioners full understanding? Or are they simply useful (and inevitable) abstractions?https://www.kdnuggets.com/2018/04/high-level-apis-dumbing-down-machine-learning.html
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Don’t learn Machine Learning in 24 hours
When it comes to machine learning, there's no quick way of teaching yourself - you're in it for the long haul.https://www.kdnuggets.com/2018/04/dont-learn-machine-learning-24-hours.html
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Onboarding Your Machine Learning Program
Machine Learning's popularity is continuing to grow and has engraved itself in pretty much every industry. This article contains lessons from a data scientist on how to unlock it's full potential.https://www.kdnuggets.com/2018/04/onboarding-machine-learning.html
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Ten Machine Learning Algorithms You Should Know to Become a Data Scientist">Ten Machine Learning Algorithms You Should Know to Become a Data Scientist
It's important for data scientists to have a broad range of knowledge, keeping themselves updated with the latest trends. With that being said, we take a look at the top 10 machine learning algorithms every data scientist should know.https://www.kdnuggets.com/2018/04/10-machine-learning-algorithms-data-scientist.html
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Machine Learning for Text
This book covers machine learning techniques from text using both bag-of-words and sequence-centric methods. The scope of coverage is vast, and it includes traditional information retrieval methods and also recent methods from neural networks and deep learning.https://www.kdnuggets.com/2018/04/machine-learning-text.html
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5 Things You Need to Know about Reinforcement Learning
With the popularity of Reinforcement Learning continuing to grow, we take a look at five things you need to know about RL.https://www.kdnuggets.com/2018/03/5-things-reinforcement-learning.html
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Exploring DeepFakes">Exploring DeepFakes
In this post, I explore the capabilities of this tech, describe how it works, and discuss potential applications.https://www.kdnuggets.com/2018/03/exploring-deepfakes.html
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Multiscale Methods and Machine Learning
We highlight recent developments in machine learning and Deep Learning related to multiscale methods, which analyze data at a variety of scales to capture a wider range of relevant features. We give a general overview of multiscale methods, examine recent successes, and compare with similar approaches.https://www.kdnuggets.com/2018/03/multiscale-methods-machine-learning.html
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Will GDPR Make Machine Learning Illegal?">Will GDPR Make Machine Learning Illegal?
Does GDPR require Machine Learning algorithms to explain their output? Probably not, but experts disagree and there is enough ambiguity to keep lawyers busy.https://www.kdnuggets.com/2018/03/gdpr-machine-learning-illegal.html
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How to do Machine Learning Efficiently
I now believe that there is an art, or craftsmanship, to structuring machine learning work and none of the math heavy books I tended to binge on seem to mention this.https://www.kdnuggets.com/2018/03/machine-learning-efficiently.html
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18 Inspiring Women In AI, Big Data, Data Science, Machine Learning">18 Inspiring Women In AI, Big Data, Data Science, Machine Learning
For the 2018 international women's day, we profile 18 inspiring women who lead the field in AI, Analytics, Big Data , Data science, and Machine Learning areas.https://www.kdnuggets.com/2018/03/inspiring-women-ai-big-data-science.html
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Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms">Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms
We compare Gartner 2018 Magic Quadrant for Data Science, Machine Learning Platforms vs its 2017 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, Alteryx, H2O.ai, and Domino.https://www.kdnuggets.com/2018/02/gartner-2018-mq-data-science-machine-learning-changes.html
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Top 20 Python AI and Machine Learning Open Source Projects">Top 20 Python AI and Machine Learning Open Source Projects
We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors.https://www.kdnuggets.com/2018/02/top-20-python-ai-machine-learning-open-source-projects.html
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Cartoon: Machine Learning Problems in 2118
For Valentine's day, new KDnuggets cartoon looks at some problems Machine Learning can face in 2118.https://www.kdnuggets.com/2018/02/cartoon-valentine-machine-learning.html
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A Basic Recipe for Machine Learning">A Basic Recipe for Machine Learning
One of the gems that I felt needed to be written down from Ng's deep learning courses is his general recipe to approaching a deep learning algorithm/model.https://www.kdnuggets.com/2018/02/basic-recipe-machine-learning.html
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Which Machine Learning Algorithm be used in year 2118?
So what were the answers popping in your head ? Random forest, SVM, K means, Knn or even Deep Learning? No, for the answer, we turn to Lindy Effect.https://www.kdnuggets.com/2018/02/machine-learning-algorithm-2118.html
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Deep Feature Synthesis: How Automated Feature Engineering Works
Automating feature engineering optimizes the process of building and deploying accurate machine learning models by handling necessary but tedious tasks so data scientists can focus more on other important steps.https://www.kdnuggets.com/2018/02/deep-feature-synthesis-automated-feature-engineering.html
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5 Fantastic Practical Machine Learning Resources">5 Fantastic Practical Machine Learning Resources
This post presents 5 fantastic practical machine learning resources, covering machine learning right from basics, as well as coding algorithms from scratch and using particular deep learning frameworks.https://www.kdnuggets.com/2018/02/5-fantastic-practical-machine-learning-resources.html
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The 8 Neural Network Architectures Machine Learning Researchers Need to Learn">The 8 Neural Network Architectures Machine Learning Researchers Need to Learn
In this blog post, I want to share the 8 neural network architectures from the course that I believe any machine learning researchers should be familiar with to advance their work.https://www.kdnuggets.com/2018/02/8-neural-network-architectures-machine-learning-researchers-need-learn.html
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Automated Text Classification Using Machine Learning
In this post, we talk about the technology, applications, customization, and segmentation related to our automated text classification API.https://www.kdnuggets.com/2018/01/automated-text-classification-machine-learning.html
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Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI
A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html
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Is Learning Rate Useful in Artificial Neural Networks?
This article will help you understand why we need the learning rate and whether it is useful or not for training an artificial neural network. Using a very simple Python code for a single layer perceptron, the learning rate value will get changed to catch its idea.https://www.kdnuggets.com/2018/01/learning-rate-useful-neural-network.html
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Top 10 TED Talks for Data Scientists and Machine Learning Engineers">Top 10 TED Talks for Data Scientists and Machine Learning Engineers
A comprehensive and diverse compilation of TED talks to understand the big picture of AI and Machine Learning.https://www.kdnuggets.com/2018/01/top-10-ted-talks-data-scientists-machine-learning.html
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The Art of Learning Data Science">The Art of Learning Data Science
A beginner’s account of getting into comfort zone of learning Data Science.https://www.kdnuggets.com/2018/01/art-learning-data-science.html
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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
Also Top 10 Machine Learning Algorithms for Beginners; 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets.https://www.kdnuggets.com/2017/12/top-stories-2017.html
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How to Improve Machine Learning Algorithms? Lessons from Andrew Ng, part 2
The second chapter of ML lessons from Ng’s experience. This one will only be talking about Human Level Performance & Avoidable Bias.https://www.kdnuggets.com/2017/12/improve-machine-learning-algorithm-lessons-andrew-ng-part2.html
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Getting Started with TensorFlow: A Machine Learning Tutorial
A complete and rigorous introduction to Tensorflow. Code along with this tutorial to get started with hands-on examples.https://www.kdnuggets.com/2017/12/getting-started-tensorflow.html
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Building an Audio Classifier using Deep Neural Networks
Using a deep convolutional neural network architecture to classify audio and how to effectively use transfer learning and data-augmentation to improve model accuracy using small datasets.https://www.kdnuggets.com/2017/12/audio-classifier-deep-neural-networks.html
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Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018">Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018
As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2017 and their 2018 key trend predictions.https://www.kdnuggets.com/2017/12/machine-learning-ai-main-developments-2017-key-trends-2018.html
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How to Improve Machine Learning Performance? Lessons from Andrew Ng
5 useful tips and lessons from Andrew Ng on how to improve your Machine Learning performance, including Orthogonalisation, Single Number Evaluation Metric, and Satisfying and Optimizing Metric.https://www.kdnuggets.com/2017/12/improve-machine-learning-performance-lessons-andrew-ng.html
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Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018
The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html
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When reinforcement learning should not be used?
While reinforcement learning has achieved many successes, there are situations when it use is problematic. We describe the issues and how to work around them.https://www.kdnuggets.com/2017/12/when-reinforcement-learning-not-used.html
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Exclusive: Interview with Rich Sutton, the Father of Reinforcement Learning
My exclusive interview with Rich Sutton, the Father of Reinforcement Learning, on RL, Machine Learning, Neuroscience, 2nd edition of his book, Deep Learning, Prediction Learning, AlphaGo, Artificial General Intelligence, and more.https://www.kdnuggets.com/2017/12/interview-rich-sutton-reinforcement-learning.html
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Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras">Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras
We show how to build a deep neural network that classifies images to many categories with an accuracy of a 90%. This was a very hard problem before the rise of deep networks and especially Convolutional Neural Networks.https://www.kdnuggets.com/2017/11/understanding-deep-convolutional-neural-networks-tensorflow-keras.html
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How To Unit Test Machine Learning Code
One of the main principles I learned during my time at Google Brain was that unit tests can make or break your algorithm and can save you weeks of debugging and training time.https://www.kdnuggets.com/2017/11/unit-test-machine-learning-code.html
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Machine Learning Algorithms: Which One to Choose for Your Problem">Machine Learning Algorithms: Which One to Choose for Your Problem
This article will try to explain basic concepts and give some intuition of using different kinds of machine learning algorithms in different tasks. At the end of the article, you’ll find the structured overview of the main features of described algorithms.https://www.kdnuggets.com/2017/11/machine-learning-algorithms-choose-your-problem.html
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Interpreting Machine Learning Models: An Overview">Interpreting Machine Learning Models: An Overview
This post summarizes the contents of a recent O'Reilly article outlining a number of methods for interpreting machine learning models, beyond the usual go-to measures.https://www.kdnuggets.com/2017/11/interpreting-machine-learning-models-overview.html
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Getting Started with Machine Learning in One Hour!
Here is a machine learning getting started guide which grew out of the author's notes for a one hour talk on the subject. Hopefully you find the path helpful.https://www.kdnuggets.com/2017/11/getting-started-machine-learning-one-hour.html
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New Poll: When will demand for Data Scientists/Machine Learning experts begin to decline?
New KDnuggets Poll examines how long the current high demand for Data Scientists/Machine Learning experts will last. Please vote and we will analyze and report the results.https://www.kdnuggets.com/2017/10/new-poll-demand-data-scientists-machine-learning-decline.html
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How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool">How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool
In this article we focus on the personalization aspect of model building and explain the modeling principle as well as how to implement Photon-ML so that it can scale to hundreds of millions of users.https://www.kdnuggets.com/2017/10/linkedin-personalized-recommendations-photon-ml.html
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How I started with learning AI in the last 2 months">How I started with learning AI in the last 2 months
The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full stack will not be full stack without AI skills.https://www.kdnuggets.com/2017/10/how-started-learning-ai.html
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Using Machine Learning to Predict and Explain Employee Attrition">Using Machine Learning to Predict and Explain Employee Attrition
Employee attrition (churn) is a major cost to an organization. We recently used two new techniques to predict and explain employee turnover: automated ML with H2O and variable importance analysis with LIME.https://www.kdnuggets.com/2017/10/machine-learning-predict-employee-attrition.html
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Understanding Machine Learning Algorithms">Understanding Machine Learning Algorithms
Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, a SAS data scientist describes the foundations for some of today’s popular algorithms.https://www.kdnuggets.com/2017/10/understanding-machine-learning-algorithms.html
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Top 10 Videos on Machine Learning in Finance">Top 10 Videos on Machine Learning in Finance
Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!https://www.kdnuggets.com/2017/09/top-10-videos-machine-learning-finance.html
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Ensemble Learning to Improve Machine Learning Results
Ensemble methods are meta-algorithms that combine several machine learning techniques into one predictive model in order to decrease variance (bagging), bias (boosting), or improve predictions (stacking).https://www.kdnuggets.com/2017/09/ensemble-learning-improve-machine-learning-results.html
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5 Ways to Get Started with Reinforcement Learning
We give an accessible overview of reinforcement learning, including Deep Q Learning, and provide useful links for implementing RL.https://www.kdnuggets.com/2017/09/5-ways-get-started-reinforcement-learning.html
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Machine Learning Translation and the Google Translate Algorithm
Today, we’ve decided to explore machine translators and explain how the Google Translate algorithm works.https://www.kdnuggets.com/2017/09/machine-learning-translation-google-translate-algorithm.html
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New-Age Machine Learning Algorithms in Retail Lending">New-Age Machine Learning Algorithms in Retail Lending
We review the application of new age Machine Learning algorithms for better Customer Analytics in Lending and Credit Risk Assessment.https://www.kdnuggets.com/2017/09/machine-learning-algorithms-lending.html
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Python vs R – Who Is Really Ahead in Data Science, Machine Learning?">Python vs R – Who Is Really Ahead in Data Science, Machine Learning?
We examine Google Trends, job trends, and more and note that while Python has only a small advantage among current Data Science and Machine Learning related jobs, this advantage is likely to increase in the future.https://www.kdnuggets.com/2017/09/python-vs-r-data-science-machine-learning.html
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Top 10 Machine Learning Use Cases: Part 2
This post is the second in a series whose aim is to shake up our intuitions about what machine learning is making possible in specific sectors — to look beyond the set of use cases that always come to mind.https://www.kdnuggets.com/2017/09/ibm-top-10-machine-learning-use-cases-part2.html
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Cartoon: Future Machine Learning Class">Cartoon: Future Machine Learning Class
New KDnuggets Cartoon looks at an unusual but possible future Machine Learning Class.https://www.kdnuggets.com/2017/09/cartoon-machine-learning-class.html
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Are physicians worried about computers machine learning their jobs?
We review JAMA article on “Unintended Consequences of Machine Learning in Medicine” and argue that a number of alarming opinions in this pieces are not supported by evidence.https://www.kdnuggets.com/2017/08/are-physicians-worried-about-computers-machine-learning-their-jobs.html
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An Intuitive Guide to Deep Network Architectures
How and why do different Deep Learning models work? We provide an intuitive explanation for 3 very popular DL models: Resnet, Inception, and Xception.https://www.kdnuggets.com/2017/08/intuitive-guide-deep-network-architectures.html
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Support Vector Machine (SVM) Tutorial: Learning SVMs From Examples
In this post, we will try to gain a high-level understanding of how SVMs work. I’ll focus on developing intuition rather than rigor. What that essentially means is we will skip as much of the math as possible and develop a strong intuition of the working principle.https://www.kdnuggets.com/2017/08/support-vector-machines-learning-svms-examples.html
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What Artificial Intelligence and Machine Learning Can Do—And What It Can’t">What Artificial Intelligence and Machine Learning Can Do—And What It Can’t
I have seen situations where AI (or at least machine learning) had an incredible impact on a business—I also have seen situations where this was not the case. So, what was the difference?https://www.kdnuggets.com/2017/08/rapidminer-ai-machine-learning-can-do.html
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Going deeper with recurrent networks: Sequence to Bag of Words Model
Deep learning makes it possible to convert unstructured text to computable formats, incorporating semantic knowledge to train machine learning models. These digital data troves help us understand people on a new level.https://www.kdnuggets.com/2017/08/deeper-recurrent-networks-sequence-bag-words-model.html
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The Machine Learning Abstracts: Decision Trees
Decision trees are a classic machine learning technique. The basic intuition behind a decision tree is to map out all possible decision paths in the form of a tree.https://www.kdnuggets.com/2017/08/machine-learning-abstracts-decision-trees.html
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The Machine Learning Abstracts: Classification
Classification is the process of categorizing or “classifying” some items into a predefined set of categories or “classes”. It is exactly the same even when a machine does so. Let’s dive a little deeper.https://www.kdnuggets.com/2017/07/machine-learning-abstracts-classification.html
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Optimization in Machine Learning: Robust or global minimum?
Here we discuss how convex problems are solved and optimised in machine learning/deep learning.https://www.kdnuggets.com/2017/06/robust-global-minimum.html
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The world’s first protein database for Machine Learning and AI">The world’s first protein database for Machine Learning and AI
dSPP is the world first interactive database of proteins for AI and Machine Learning, and is fully integrated with Keras and Tensorflow. You can access the database at peptone.io/dspphttps://www.kdnuggets.com/2017/06/dspp-protein-database-machine-learning-ai.html
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Making Sense of Machine Learning">Making Sense of Machine Learning
Broadly speaking, machine learners are computer algorithms designed for pattern recognition, curve fitting, classification and clustering. The word learning in the term stems from the ability to learn from data.https://www.kdnuggets.com/2017/06/making-sense-machine-learning.html
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Does Machine Learning Have a Future Role in Cyber Security?
In the past, ML learning hasn't had as much success in cyber security as in other fields. Many early attempts struggled with problems such as generating too many false positives, which resulted mixed attitudes towards it.https://www.kdnuggets.com/2017/06/machine-learning-future-role-cyber-security.html
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Which Machine Learning Algorithm Should I Use?">Which Machine Learning Algorithm Should I Use?
A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?” The answer to the question varies depending on many factors, including the size, quality, and nature of data, the available computational time, and more.https://www.kdnuggets.com/2017/06/which-machine-learning-algorithm.html
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Top Stories, May 22-28: Analytics, Data Science, Machine Learning Software Poll Results; Machine Learning Crash Course
New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll; Machine Learning Crash Course: Part 1; Text Mining 101: Mining Information From A Resume; Data science platforms are on the rise and IBM is leading the way; An Introduction to the MXNet Python APIhttps://www.kdnuggets.com/2017/05/top-news-week-0522-0528.html
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Machine Learning Workflows in Python from Scratch Part 1: Data Preparation">Machine Learning Workflows in Python from Scratch Part 1: Data Preparation
This post is the first in a series of tutorials for implementing machine learning workflows in Python from scratch, covering the coding of algorithms and related tools from the ground up. The end result will be a handcrafted ML toolkit. This post starts things off with data preparation.https://www.kdnuggets.com/2017/05/machine-learning-workflows-python-scratch-part-1.html
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Machine Learning Crash Course: Part 1
This post, the first in a series of ML tutorials, aims to make machine learning accessible to anyone willing to learn. We’ve designed it to give you a solid understanding of how ML algorithms work as well as provide you the knowledge to harness it in your projects.https://www.kdnuggets.com/2017/05/machine-learning-crash-course-part-1.html
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New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll">New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll
Python caught up with R and (barely) overtook it; Deep Learning usage surges to 32%; RapidMiner remains top general Data Science platform; Five languages of Data Science.
https://www.kdnuggets.com/2017/05/poll-analytics-data-science-machine-learning-software-leaders.html
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The Path To Learning Artificial Intelligence
Learn how to easily build real-world AI for booming tech, business, pioneering careers and game-level fun.https://www.kdnuggets.com/2017/05/path-learning-artificial-intelligence.html
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5 Machine Learning Projects You Can No Longer Overlook, May
In this month's installment of Machine Learning Projects You Can No Longer Overlook, we find some data preparation and exploration tools, a (the?) reinforcement learning "framework," a new automated machine learning library, and yet another distributed deep learning library.https://www.kdnuggets.com/2017/05/five-machine-learning-projects-cant-overlook-may.html
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Data Science & Machine Learning Platforms for the Enterprise
A resilient Data Science Platform is a necessity to every centralized data science team within a large corporation. It helps them centralize, reuse, and productionize their models at peta scale.https://www.kdnuggets.com/2017/05/data-science-machine-learning-platforms-enterprise.html
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New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?">New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
Vote in KDnuggets 18th Annual Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? We will clean, analyze, visualize, and publish the results.https://www.kdnuggets.com/2017/05/new-poll-software-analytics-data-mining-data-science-machine-learning.html
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Machine Learning overtaking Big Data?">Machine Learning overtaking Big Data?
Is Machine Learning is overtaking Big Data?! We also examine trends for several more related and popular buzzwords, and see how BD, ML. Artificial Intelligence, Data Science, and Deep Learning rank.https://www.kdnuggets.com/2017/05/machine-learning-overtaking-big-data.html
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Top 10 Machine Learning Videos on YouTube, updated">Top 10 Machine Learning Videos on YouTube, updated
The top machine learning videos on YouTube include lecture series from Stanford and Caltech, Google Tech Talks on deep learning, using machine learning to play Mario and Hearthstone, and detecting NHL goals from live streams.https://www.kdnuggets.com/2017/05/top-10-machine-learning-videos-on-youtube-updated.html
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The Guerrilla Guide to Machine Learning with Python">The Guerrilla Guide to Machine Learning with Python
Here is a bare bones take on learning machine learning with Python, a complete course for the quick study hacker with no time (or patience) to spare.https://www.kdnuggets.com/2017/05/guerrilla-guide-machine-learning-python.html
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AI & Machine Learning Black Boxes: The Need for Transparency and Accountability
When something goes wrong, as it inevitably does, it can be a daunting task discovering the behavior that caused an event that is locked away inside a black box where discoverability is virtually impossible.https://www.kdnuggets.com/2017/04/ai-machine-learning-black-boxes-transparency-accountability.html
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Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions">Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions
Who leads in Data Science, Machine Learning, and Predictive Analytics? We compare the latest Forrester and Gartner reports for this industry for 2017 Q1, identify gainers and losers, and strong leaders vs contenders.https://www.kdnuggets.com/2017/04/forrester-gartner-data-science-platforms-machine-learning.html
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5 Machine Learning Projects You Can No Longer Overlook, April">5 Machine Learning Projects You Can No Longer Overlook, April
It's about that time again... 5 more machine learning or machine learning-related projects you may not yet have heard of, but may want to consider checking out. Find tools for data exploration, topic modeling, high-level APIs, and feature selection herein.https://www.kdnuggets.com/2017/04/five-machine-learning-projects-cant-overlook-april.html
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Machine Learning Finds “Fake News” with 88% Accuracy
In this post, the author assembles a dataset of fake and real news and employs a Naive Bayes classifier in order to create a model to classify an article as fake or real based on its words and phrases.https://www.kdnuggets.com/2017/04/machine-learning-fake-news-accuracy.html
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10 Free Must-Read Books for Machine Learning and Data Science">10 Free Must-Read Books for Machine Learning and Data Science
Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine learning and data science titles to get your spring reading started right.https://www.kdnuggets.com/2017/04/10-free-must-read-books-machine-learning-data-science.html
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Top /r/MachineLearning Posts, March: A Super Harsh Guide to Machine Learning; Is it Gaggle or Koogle?!?
A Super Harsh Guide to Machine Learning; Google is acquiring data science community Kaggle; Suggestion by Salesforce chief data scientist; Andrew Ng resigning from Baidu; Distill: An Interactive, Visual Journal for Machine Learning Researchhttps://www.kdnuggets.com/2017/04/top-reddit-machine-learning-march.html
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Applying Machine Learning To March Madness
March Madness is upon us. But before you get your brackets set, check out this overview of using machine learning to do the heavy lifting for you. A great discussion, and a timely topic.https://www.kdnuggets.com/2017/03/machine-learning-march-madness.html
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Software Engineering vs Machine Learning Concepts
Not all core concepts from software engineering translate into the machine learning universe. Here are some differences I've noticed.https://www.kdnuggets.com/2017/03/software-engineering-vs-machine-learning-concepts.html
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Gartner Data Science Platforms – A Deeper Look
Thomas Dinsmore critical examination of Gartner 2017 MQ of Data Science Platforms, including vendors who out, in, have big changes, Hadoop and Spark integration, open source software, and what Data Scientists actually use.https://www.kdnuggets.com/2017/03/thomaswdinsmore-gartner-data-science-platforms.html
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7 More Steps to Mastering Machine Learning With Python">7 More Steps to Mastering Machine Learning With Python
This post is a follow-up to last year's introductory Python machine learning post, which includes a series of tutorials for extending your knowledge beyond the original.
https://www.kdnuggets.com/2017/03/seven-more-steps-machine-learning-python.html
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Learning to Learn by Gradient Descent by Gradient Descent
What if instead of hand designing an optimising algorithm (function) we learn it instead? That way, by training on the class of problems we’re interested in solving, we can learn an optimum optimiser for the class!https://www.kdnuggets.com/2017/02/learning-learn-gradient-descent.html
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6 areas of AI and Machine Learning to watch closely">6 areas of AI and Machine Learning to watch closely
Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.https://www.kdnuggets.com/2017/01/6-areas-ai-machine-learning.html
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Great Collection of Minimal and Clean Implementations of Machine Learning Algorithms
Interested in learning machine learning algorithms by implementing them from scratch? Need a good set of examples to work from? Check out this post with links to minimal and clean implementations of various algorithms.https://www.kdnuggets.com/2017/01/great-collection-clean-machine-learning-algorithms.html