Search results for deep learning
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The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization">The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization
As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.https://www.kdnuggets.com/2019/10/4-quadrants-data-science-skills-data-visualization.html
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OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned
OpenAI trained agents in a simple game of hide-and-seek and learned many other different skills in the process.https://www.kdnuggets.com/2019/10/openai-tried-train-ai-agents-play-hide-seek-instead-shocked-learned.html
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10 Free Top Notch Natural Language Processing Courses">10 Free Top Notch Natural Language Processing Courses
Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.https://www.kdnuggets.com/2019/10/10-free-top-notch-courses-natural-language-processing.html
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How AI will transform healthcare (and can it fix the US healthcare system?)">How AI will transform healthcare (and can it fix the US healthcare system?)
This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html
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Natural Language in Python using spaCy: An Introduction
This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.https://www.kdnuggets.com/2019/09/natural-language-python-using-spacy-introduction.html
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A Single Function to Streamline Image Classification with Keras
We show, step-by-step, how to construct a single, generalized, utility function to pull images automatically from a directory and train a convolutional neural net model.https://www.kdnuggets.com/2019/09/single-function-streamline-image-classification-keras.html
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Introducing IceCAPS: Microsoft’s Framework for Advanced Conversation Modeling
The new open source framework that brings multi-task learning to conversational agents.https://www.kdnuggets.com/2019/09/introducing-icecaps-microsofts-framework-advanced-conversation-modeling.html
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A Gentle Introduction to PyTorch 1.2
This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.https://www.kdnuggets.com/2019/09/gentle-introduction-pytorch-12.html
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Applying Data Science to Cybersecurity Network Attacks & Events
Check out this detailed tutorial on applying data science to the cybersecurity domain, written by an individual with backgrounds in both fields.https://www.kdnuggets.com/2019/09/applying-data-science-cybersecurity-network-attacks-events.html
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Which Data Science Skills are core and which are hot/emerging ones?">Which Data Science Skills are core and which are hot/emerging ones?
We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.https://www.kdnuggets.com/2019/09/core-hot-data-science-skills.html
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My journey path from a Software Engineer to BI Specialist to a Data Scientist">My journey path from a Software Engineer to BI Specialist to a Data Scientist
The career path of the Data Scientist remains a hot target for many with its continuing high demand. Becoming one requires developing a broad set of skills including statistics, programming, and even business acumen. Learn more about one person's experience making this journey, and discover the many resources available to help you find your way into a world of data science.https://www.kdnuggets.com/2019/09/journey-software-engineer-bi-data-scientist.html
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What is Machine Behavior?
The new emerging field that wants to study AI agents the way social scientists study humans.https://www.kdnuggets.com/2019/09/machine-behavior.html
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Train sklearn 100x Faster">Train sklearn 100x Faster
As compute gets cheaper and time to market for machine learning solutions becomes more critical, we’ve explored options for speeding up model training. One of those solutions is to combine elements from Spark and scikit-learn into our own hybrid solution.https://www.kdnuggets.com/2019/09/train-sklearn-100x-faster.html
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OpenStreetMap Data to ML Training Labels for Object Detection
I am really interested in creating a tight, clean pipeline for disaster relief applications, where we can use something like crowd sourced building polygons from OSM to train a supervised object detector to discover buildings in an unmapped location.https://www.kdnuggets.com/2019/09/openstreetmap-data-ml-training-labels-object-detection.html
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10 Great Python Resources for Aspiring Data Scientists">10 Great Python Resources for Aspiring Data Scientists
This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.https://www.kdnuggets.com/2019/09/10-great-python-resources-aspiring-data-scientists.html
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Beyond Neurons: Five Cognitive Functions of the Human Brain that we are Trying to Recreate with Artificial Intelligence
The quest for recreating cognitive capabilities of the brain in deep neural networks remains one of the elusive goals of AI. Let’s explore some human cognitive skills that are serving as inspiration to a new generation of AI techniques.https://www.kdnuggets.com/2019/09/beyond-neurons-five-cognitive-functions-human-brain-recreate-artificial-intelligence.html
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Cartoon: Labor Day in the age of AI
KDnuggets cartoon looks at how AI will impact Labor Day in the year 2050.https://www.kdnuggets.com/2019/09/cartoon-ai-labor-day-2050.html
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Object-oriented programming for data scientists: Build your ML estimator">Object-oriented programming for data scientists: Build your ML estimator
Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.https://www.kdnuggets.com/2019/08/object-oriented-programming-data-scientists-estimator.html
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TensorFlow 2.0: Dynamic, Readable, and Highly Extended
With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.https://www.kdnuggets.com/2019/08/tensorflow-20.html
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Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch">Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.https://www.kdnuggets.com/2019/08/numpy-neural-networks-computational-graphs.html
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Order Matters: Alibaba’s Transformer-based Recommender System
Alibaba, the largest e-commerce platform in China, is a powerhouse not only when it comes to e-commerce, but also when it comes to recommender systems research. Their latest paper, Behaviour Sequence Transformer for E-commerce Recommendation in Alibaba, is yet another publication that pushes the state of the art in recommender systems.https://www.kdnuggets.com/2019/08/order-matters-alibabas-transformer-based-recommender-system.html
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Pytorch Lightning vs PyTorch Ignite vs Fast.ai
Here, I will attempt an objective comparison between all three frameworks. This comparison comes from laying out similarities and differences objectively found in tutorials and documentation of all three frameworks.https://www.kdnuggets.com/2019/08/pytorch-lightning-vs-pytorch-ignite-vs-fast-ai.html
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What is Poisson Distribution?
An solid overview of the Poisson distribution, starting from why it is needed, how it stacks up to binomial distribution, deriving its formula mathematically, and more.https://www.kdnuggets.com/2019/08/poisson-distribution.html
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A 2019 Guide to Semantic Segmentation
Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.https://www.kdnuggets.com/2019/08/2019-guide-semantic-segmentation.html
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12 NLP Researchers, Practitioners & Innovators You Should Be Following">12 NLP Researchers, Practitioners & Innovators You Should Be Following
Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.https://www.kdnuggets.com/2019/08/nlp-researchers-practitioners-innovators-should-follow.html
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Keras Callbacks Explained In Three Minutes
A gentle introduction to callbacks in Keras. Learn about EarlyStopping, ModelCheckpoint, and other callback functions with code examples.https://www.kdnuggets.com/2019/08/keras-callbacks-explained-three-minutes.html
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A 2019 Guide to Object Detection
Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.https://www.kdnuggets.com/2019/08/2019-guide-object-detection.html
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Here’s how you can accelerate your Data Science on GPU
Data Scientists need computing power. Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time.https://www.kdnuggets.com/2019/07/accelerate-data-science-on-gpu.html
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Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras">Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras
Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.https://www.kdnuggets.com/2019/07/convolutional-neural-networks-python-tutorial-tensorflow-keras.html
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Fantastic Four of Data Science Project Preparation">Fantastic Four of Data Science Project Preparation
This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.https://www.kdnuggets.com/2019/07/fantastic-four-data-science-project-preparation.html
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Computer Vision for Beginners: Part 1
Image processing is performing some operations on images to get an intended manipulation. Think about what we do when we start a new data analysis. We do some data preprocessing and feature engineering. It’s the same with image processing.https://www.kdnuggets.com/2019/07/computer-vision-beginners.html
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Things I Have Learned About Data Science
Read this collection of 38 things the author has learned along his travels, and has opted to share for the benefit of the reader.https://www.kdnuggets.com/2019/07/collection-things-learned-data-science.html
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Secrets to a Successful Data Science Interview
Are you puzzled as to what to prepare for data science interviews? That you are reading this document is a reflection of your seriousness in being a successful data scientist.https://www.kdnuggets.com/2019/07/secrets-data-science-interview.html
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The Hackathon Guide for Aspiring Data Scientists">The Hackathon Guide for Aspiring Data Scientists
This article is an overview of how to prepare for a hackathon as an aspiring data scientist, highlighting the 4 reasons why you should take part in one, along with a series of tips for participation.https://www.kdnuggets.com/2019/07/hackathon-guide-aspiring-data-scientists.html
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Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference
Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and algorithms from multiple fields where AI techniques are applied without having to deal with equations or manually write high-performance code.https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html
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Top 10 Data Science Leaders You Should Follow">Top 10 Data Science Leaders You Should Follow
If you’re in the data science field, I strongly encourage you to follow these giants— which I’ll list down in the section below — and be a part of our data science community to learn from the best and share your experience and knowledge.https://www.kdnuggets.com/2019/07/top-10-data-science-leaders.html
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The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era
The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html
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Training a Neural Network to Write Like Lovecraft">Training a Neural Network to Write Like Lovecraft
In this post, the author attempts to train a neural network to generate Lovecraft-esque prose, known to be awkward and irregular at best. Did it end in success? If not, any suggestions on how it might have? Read on to find out.https://www.kdnuggets.com/2019/07/training-neural-network-write-like-lovecraft.html
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A Gentle Guide to Starting Your NLP Project with AllenNLP
For those who aren’t familiar with AllenNLP, I will give a brief overview of the library and let you know the advantages of integrating it to your project.https://www.kdnuggets.com/2019/07/gentle-guide-starting-nlp-project-allennlp.html
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Cartoon: AI + Self-Driving + BBQ = ?
KDnuggets Cartoon looks at what happens when AI and self-driving technology collide with the traditional summer pastime of grilling.https://www.kdnuggets.com/2019/07/cartoon-self-driving-grill.html
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5 Probability Distributions Every Data Scientist Should Know">5 Probability Distributions Every Data Scientist Should Know
Having an understanding of probability distributions should be a priority for data scientists. Make sure you know what you should by reviewing this post on the subject.https://www.kdnuggets.com/2019/07/5-probability-distributions-every-data-scientist-should-know.html
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Seven Key Dimensions to Help You Understand Artificial Intelligence Environments
Understanding an AI environment is an incredibly complex task but there are several key dimensions that provide clarity on that reasoning.https://www.kdnuggets.com/2019/07/seven-key-dimensions-understand-artificial-intelligence-environments.html
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How do you check the quality of your regression model in Python?
Linear regression is rooted strongly in the field of statistical learning and therefore the model must be checked for the ‘goodness of fit’. This article shows you the essential steps of this task in a Python ecosystem.https://www.kdnuggets.com/2019/07/check-quality-regression-model-python.html
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XLNet Outperforms BERT on Several NLP Tasks">XLNet Outperforms BERT on Several NLP Tasks
XLNet is a new pretraining method for NLP that achieves state-of-the-art results on several NLP tasks.https://www.kdnuggets.com/2019/07/xlnet-outperforms-bert-several-nlp-tasks.html
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Optimization with Python: How to make the most amount of money with the least amount of risk?
Learn how to apply Python data science libraries to develop a simple optimization problem based on a Nobel-prize winning economic theory for maximizing investment profits while minimizing risk.https://www.kdnuggets.com/2019/06/optimization-python-money-risk.html
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Natural Language Interface to DataTable
You have to write SQL queries to query data from a relational database. Sometimes, you even have to write complex queries to do that. Won't it be amazing if you could use a chatbot to retrieve data from a database using simple English? That's what this tutorial is all about.https://www.kdnuggets.com/2019/06/natural-language-interface-datatable.html
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Examining the Transformer Architecture: The OpenAI GPT-2 Controversy
GPT-2 is a generative model, created by OpenAI, trained on 40GB of Internet to predict the next word. And OpenAI found this model to be SO good that they did not release the fully trained model due to their concerns about malicious applications of the technology.https://www.kdnuggets.com/2019/06/transformer-openai-gpt2.html
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Spark NLP: Getting Started With The World’s Most Widely Used NLP Library In The Enterprise"> Spark NLP: Getting Started With The World’s Most Widely Used NLP Library In The Enterprise
The Spark NLP library has become a popular AI framework that delivers speed and scalability to your projects. Check out what's under the hood and learn about how to getting started leveraging Spark NLP from John Snow Labs.https://www.kdnuggets.com/2019/06/spark-nlp-getting-started-with-worlds-most-widely-used-nlp-library-enterprise.html
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Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS"> Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS
Data science jobs continue to grow in 2019, and this report shares the change and spread of jobs by software over recent years.https://www.kdnuggets.com/2019/06/data-science-jobs-report.html
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Scalable Python Code with Pandas UDFs: A Data Science Application
There is still a gap between the corpus of libraries that developers want to apply in a scalable runtime and the set of libraries that support distributed execution. This post discusses how to bridge this gap using the the functionality provided by Pandas UDFs in Spark 2.3+https://www.kdnuggets.com/2019/06/scalable-python-code-pandas-udfs.html
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If you’re a developer transitioning into data science, here are your best resources"> If you’re a developer transitioning into data science, here are your best resources
This article will provide a background on the data scientist role and why your background might be a good fit for data science, plus tangible stepwise actions that you, as a developer, can take to ramp up on data science.https://www.kdnuggets.com/2019/06/developer-transitioning-data-science-best-resources.html
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Top 10 Statistics Mistakes Made by Data Scientists">Top 10 Statistics Mistakes Made by Data Scientists
The following are some of the most common statistics mistakes made by data scientists. Check this list often to make sure you are not making any of these while applying statistics to data science.https://www.kdnuggets.com/2019/06/statistics-mistakes-data-scientists.html
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Clearing air around “Boosting”
We explain the reasoning behind the massive success of boosting algorithms, how it came to be and what we can expect from them in the future.https://www.kdnuggets.com/2019/06/clearing-air-around-boosting.html
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The Hitchhiker’s Guide to Feature Extraction
Check out this collection of tricks and code for Kaggle and everyday work.https://www.kdnuggets.com/2019/06/hitchhikers-guide-feature-extraction.html
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How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networks
The training of machine learning models is often compared to winning the lottery by buying every possible ticket. But if we know how winning the lottery looks like, couldn’t we be smarter about selecting the tickets?https://www.kdnuggets.com/2019/05/lottery-ticket-hypothesis-neural-networks.html
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Becoming a Level 3.0 Data Scientist
Want to be a Junior, Senior, or Principal Data Scientists? Find out what you need to do to navigate the Data Science Career Game.https://www.kdnuggets.com/2019/05/becoming-a-level-3-data-scientist.html
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Boost Your Image Classification Model
Check out this collection of tricks to improve the accuracy of your classifier.https://www.kdnuggets.com/2019/05/boost-your-image-classification-model.html
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Analyzing Tweets with NLP in Minutes with Spark, Optimus and Twint
Social media has been gold for studying the way people communicate and behave, in this article I’ll show you the easiest way of analyzing tweets without the Twitter API and scalable for Big Data.https://www.kdnuggets.com/2019/05/analyzing-tweets-nlp-spark-optimus-twint.html
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When Too Likely Human Means Not Human: Detecting Automatically Generated Text
Passably-human automated text generation is a reality. How do we best go about detecting it? As it turns out, being too predictably human may actually be a reasonably good indicator of not being human at all.https://www.kdnuggets.com/2019/05/when-too-likely-human-means-not-human-detecting-automatically-generated-text.html
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Building a Computer Vision Model: Approaches and datasets
How can we build a computer vision model using CNNs? What are existing datasets? And what are approaches to train the model? This article provides an answer to these essential questions when trying to understand the most important concepts of computer vision.https://www.kdnuggets.com/2019/05/computer-vision-model-approaches-datasets.html
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Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision
Dr. Takeo Kanade shared his life lessons from an illustrious 50-year career in Computer Vision at last year's Embedded Vision Summit. You have a chance to attend the 2019 Embedded Vision Summit, from May 20-23, in the Santa Clara Convention Center, Santa Clara CA.https://www.kdnuggets.com/2019/05/kanade-lessons-career-computer-vision.html
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PyCharm for Data Scientists
This article is a discussion of some of PyCharm's features, and a comparison with Spyder, an another popular IDE for Python. Read on to find the benefits and drawbacks of PyCharm, and an outline of when to prefer it to Spyder and vice versa.https://www.kdnuggets.com/2019/05/pycharm-data-scientists.html
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What’s Going to Happen this Year in the Data World
"If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science." Henri Poncairé.https://www.kdnuggets.com/2019/05/whats-going-happen-this-year-data-world.html
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Linear Programming and Discrete Optimization with Python using PuLP
Knowledge of such optimization techniques is extremely useful for data scientists and machine learning (ML) practitioners as discrete and continuous optimization lie at the heart of modern ML and AI systems as well as data-driven business analytics processes.https://www.kdnuggets.com/2019/05/linear-programming-discrete-optimization-python-pulp.html
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Best US/Canada Masters in Analytics, Business Analytics, Data Science
In the final part of this series, we provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across the US and Canada.https://www.kdnuggets.com/2019/05/best-masters-data-science-analytics-us-canada.html
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The Third Wave Data Scientist">The Third Wave Data Scientist
An extensive look at what skills are needed to make up the portfolio of the third wave of data scientists.https://www.kdnuggets.com/2019/05/third-wave-data-scientist.html
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Build Your First Chatbot Using Python & NLTK
Today we will learn to create a simple chat assistant or chatbot using Python’s NLTK library.https://www.kdnuggets.com/2019/05/build-chatbot-python-nltk.html
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Generative Adversarial Networks – Key Milestones and State of the Art
We provide an overview of Generative Adversarial Networks (GANs), discuss challenges in GANs learning, and examine two promising GANs: the RadialGAN, designed for numbers, and the StyleGAN, which does style transfer for images.https://www.kdnuggets.com/2019/04/future-generative-adversarial-networks.html
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How To Go Into Data Science: Ultimate Q&A for Aspiring Data Scientists with Serious Guides">How To Go Into Data Science: Ultimate Q&A for Aspiring Data Scientists with Serious Guides
To learn ALL the skills sets in data science is next to impossible as the scope is way too wide. There’ll always be some skills (technical/non-technical) that data scientists don’t know or haven’t learned as different businesses require different skill sets.https://www.kdnuggets.com/2019/04/data-science-ultimate-questions-answers-aspiring-data-scientists.html
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The Rise of Generative Adversarial Networks
A comprehensive overview of Generative Adversarial Networks, covering its birth, different architectures including DCGAN, StyleGAN and BigGAN, as well as some real-world examples.https://www.kdnuggets.com/2019/04/rise-generative-adversarial-networks.html
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Distributed Artificial Intelligence: A primer on Multi-Agent Systems, Agent-Based Modeling, and Swarm Intelligence
Distributed Artificial Intelligence (DAI) is a class of technologies and methods that span from swarm intelligence to multi-agent technologies. It is one of the subsets of AI where simulation has greater importance that point-prediction.https://www.kdnuggets.com/2019/04/distributed-artificial-intelligence-multi-agent-systems-agent-based-modeling-swarm-intelligence.html
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2019 Best Masters in Data Science and Analytics – Europe Edition">2019 Best Masters in Data Science and Analytics – Europe Edition
We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html
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Beyond Siri, Google Assistant, and Alexa – what you need to know about AI Conversational Applications
We discuss industry trends in Artificial Intelligence with Vijay Ramakrishnan, a machine learning engineer and expert in conversational applications.https://www.kdnuggets.com/2019/04/ai-conversational-applications.html
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Spatio-Temporal Statistics: A Primer
Marketing scientist Kevin Gray asks University of Missouri Professor Chris Wikle about Spatio-Temporal Statistics and how it can be used in science and business.https://www.kdnuggets.com/2019/04/spatio-temporal-statistics-primer.html
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Predict Age and Gender Using Convolutional Neural Network and OpenCV">Predict Age and Gender Using Convolutional Neural Network and OpenCV
Age and gender estimation from a single face image are important tasks in intelligent applications. As such, let's build a simple age and gender detection model in this detailed article.https://www.kdnuggets.com/2019/04/predict-age-gender-using-convolutional-neural-network-opencv.html
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Getting started with NLP using the PyTorch framework
We discuss the classes that PyTorch provides for helping with Natural Language Processing (NLP) and how they can be used for related tasks using recurrent layers.https://www.kdnuggets.com/2019/04/nlp-pytorch.html
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Which Face is Real?
Which Face Is Real? was developed based on Generative Adversarial Networks as a web application in which users can select which image they believe is a true person and which was synthetically generated. The person in the synthetically generated photo does not exist.https://www.kdnuggets.com/2019/04/which-face-real-stylegan.html
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Pedestrian Detection in Aerial Images Using RetinaNet
Object Detection in Aerial Images is a challenging and interesting problem. By using Keras to train a RetinaNet model for object detection in aerial images, we can use it to extract valuable information.https://www.kdnuggets.com/2019/03/pedestrian-detection-aerial-images-retinanet.html
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Feature Reduction using Genetic Algorithm with Python
This tutorial discusses how to use the genetic algorithm (GA) for reducing the feature vector extracted from the Fruits360 dataset in Python mainly using NumPy and Sklearn.https://www.kdnuggets.com/2019/03/feature-reduction-genetic-algorithm-python.html
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Checklist for Debugging Neural Networks
Check out these tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models.https://www.kdnuggets.com/2019/03/checklist-debugging-neural-networks.html
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Deploy your PyTorch model to Production
This tutorial aims to teach you how to deploy your recently trained model in PyTorch as an API using Python.https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html
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How to Train a Keras Model 20x Faster with a TPU for Free
This post shows how to train an LSTM Model using Keras and Google CoLaboratory with TPUs to exponentially reduce training time compared to a GPU on your local machine.https://www.kdnuggets.com/2019/03/train-keras-model-20x-faster-tpu-free.html
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Artificial Neural Networks Optimization using Genetic Algorithm with Python">Artificial Neural Networks Optimization using Genetic Algorithm with Python
This tutorial explains the usage of the genetic algorithm for optimizing the network weights of an Artificial Neural Network for improved performance.https://www.kdnuggets.com/2019/03/artificial-neural-networks-optimization-genetic-algorithm-python.html
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Object Detection with Luminoth
In this article you will learn about Luminoth, an open source computer vision library which sits atop Sonnet and TensorFlow and provides object detection for images and video.https://www.kdnuggets.com/2019/03/object-detection-luminoth.html
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Breaking neural networks with adversarial attacks
We develop an intuition behind "adversarial attacks" on deep neural networks, and understand why these attacks are so successful.https://www.kdnuggets.com/2019/03/breaking-neural-networks-adversarial-attacks.html
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Neural Networks with Numpy for Absolute Beginners: Introduction
In this tutorial, you will get a brief understanding of what Neural Networks are and how they have been developed. In the end, you will gain a brief intuition as to how the network learns.https://www.kdnuggets.com/2019/03/neural-networks-numpy-absolute-beginners-introduction.html
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The Difference Between Data Scientists and Data Engineers
ODSC East 2019 has multiple tracks for both Data Scientists and Data Engineers, including workshops, talks, and training sessions. Save 45% with code KDN45.https://www.kdnuggets.com/2019/03/odsc-difference-data-scientists-data-engineers.html
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Comparing MobileNet Models in TensorFlow
MobileNets are a family of mobile-first computer vision models for TensorFlow, designed to effectively maximize accuracy while being mindful of the restricted resources for an on-device or embedded application.https://www.kdnuggets.com/2019/03/comparing-mobilenet-models-tensorflow.html
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Artificial Neural Network Implementation using NumPy and Image Classification">Artificial Neural Network Implementation using NumPy and Image Classification
This tutorial builds artificial neural network in Python using NumPy from scratch in order to do an image classification application for the Fruits360 datasethttps://www.kdnuggets.com/2019/02/artificial-neural-network-implementation-using-numpy-and-image-classification.html
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Word Embeddings in NLP and its Applications
Word embeddings such as Word2Vec is a key AI method that bridges the human understanding of language to that of a machine and is essential to solving many NLP problems. Here we discuss applications of Word2Vec to Survey responses, comment analysis, recommendation engines, and more.https://www.kdnuggets.com/2019/02/word-embeddings-nlp-applications.html
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Python Data Science for Beginners">Python Data Science for Beginners
Python’s syntax is very clean and short in length. Python is open-source and a portable language which supports a large standard library. Buy why Python for data science? Read on to find out more.https://www.kdnuggets.com/2019/02/python-data-science-beginners.html
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A comprehensive survey on graph neural networks
This article summarizes a paper which presents us with a broad sweep of the graph neural network landscape. It’s a survey paper, so you’ll find details on the key approaches and representative papers, as well as information on commonly used datasets and benchmark performance on them.https://www.kdnuggets.com/2019/02/comprehensive-survey-graph-neural-networks.html
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Natural Language Processing for Social Media
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Natural Language Processing and how it is used in social media analytics.https://www.kdnuggets.com/2019/02/natural-language-processing-social-media.html
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A Quick Guide to Feature Engineering
Feature engineering plays a key role in machine learning, data mining, and data analytics. This article provides a general definition for feature engineering, together with an overview of the major issues, approaches, and challenges of the field.https://www.kdnuggets.com/2019/02/quick-guide-feature-engineering.html
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Is Domain Knowledge a Hurdle to Start a Career in Data?
How would I decide which domain to choose, while starting my career in data? Is it an obstacle?https://www.kdnuggets.com/2019/02/domain-knowledge-hurdle-career-data.html
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Neural Networks – an Intuition
Neural networks are one of the most powerful algorithms used in the field of machine learning and artificial intelligence. We attempt to outline its similarities with the human brain and how intuition plays a big part in this.https://www.kdnuggets.com/2019/02/neural-networks-intuition.html
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Data-science? Agile? Cycles? My method for managing data-science projects in the Hi-tech industry.
The following is a method I developed, which is based on my personal experience managing a data-science-research team and was tested with multiple projects. In the next sections, I’ll review the different types of research from a time point-of-view, compare development and research workflow approaches and finally suggest my work methodology.https://www.kdnuggets.com/2019/02/data-science-agile-cycles-method-managing-projects-hi-tech-industry.html
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How I used NLP (Spacy) to screen Data Science Resumes
A real life example of when using NLP can help filter down a list of candidates for a job opening, with full source code and methodology.https://www.kdnuggets.com/2019/02/nlp-spacy-data-science-resumes.html
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ELMo: Contextual Language Embedding
Create a semantic search engine using deep contextualised language representations from ELMo and why context is everything in NLP.https://www.kdnuggets.com/2019/01/elmo-contextual-language-embedding.html
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Building an image search service from scratch
By the end of this post, you should be able to build a quick semantic search model from scratch, no matter the size of your dataset.https://www.kdnuggets.com/2019/01/building-image-search-service-from-scratch.html
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Cracking the Data Scientist Interview
After interviewing with over 50 companies for Data Scientist/Machine Learning Engineer, I am going to frame my experiences in the Q&A format and try to debunk any myths that beginners may have in their quest for becoming a Data Scientist.https://www.kdnuggets.com/2019/01/cracking-data-scientist-interview.html
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AI is a Big Fat Lie
Is AI legit? This treatise by Eric Siegel, which ridicules the widespread myth of artificial intelligence, is enlightening and actually pretty funny. It's time for the term AI to be “terminated.”https://www.kdnuggets.com/2019/01/dr-data-ai-big-fat-lie.html
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Your AI skills are worth less than you think">Your AI skills are worth less than you think
We are in the middle of an AI boom. That doesn’t mean that making your AI startup succeed is easy. I think there are some important pitfalls ahead of anyone trying to build their business around AI.https://www.kdnuggets.com/2019/01/your-ai-skills-worth-less-than-you-think.html
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Cartoon: Is this how you do the blockchain thing?
Despite the increasing popularity of Blockchain, the concept remains hard to understand. Here is one attempt to explain it.https://www.kdnuggets.com/2019/01/cartoon-blockchain.html
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Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown
Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation."https://www.kdnuggets.com/2019/01/dr-data-ice-cream-linked-shark-attacks.html
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10 Exciting Ideas of 2018 in NLP
We outline a selection of exciting developments in NLP from the last year, and include useful recent papers and images to help further assist with your learning.https://www.kdnuggets.com/2019/01/10-exciting-ideas-2018-nlp.html
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Ontology and Data Science">Ontology and Data Science
In simple words, one can say that ontology is the study of what there is. But there is another part to that definition that will help us in the following sections, and that is ontology is usually also taken to encompass problems about the most general features and relations of the entities which do exist.https://www.kdnuggets.com/2019/01/ontology-data-science.html
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How to solve 90% of NLP problems: a step-by-step guide">How to solve 90% of NLP problems: a step-by-step guide
Read this insightful, step-by-step article on how to use machine learning to understand and leverage text.https://www.kdnuggets.com/2019/01/solve-90-nlp-problems-step-by-step-guide.html
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Why Vegetarians Miss Fewer Flights – Five Bizarre Insights from Data
A frenzy of number-crunching is churning out a heap of insights that are colorful, sometimes surprising, and often valuable. We explain how this works, and investigate five bizarre discoveries found in data.https://www.kdnuggets.com/2019/01/dr-data-five-bizarre-insights-from-data.html
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Explainable Artificial Intelligence
We outline the necessity of explainable AI, discuss some of the methods in academia, take a look at explainability vs accuracy, investigate use cases, and more.https://www.kdnuggets.com/2019/01/explainable-ai.html
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Top 10 Books on NLP and Text Analysis">Top 10 Books on NLP and Text Analysis
When it comes to choosing the right book, you become immediately overwhelmed with the abundance of possibilities. In this review, we have collected our Top 10 NLP and Text Analysis Books of all time, ranging from beginners to experts.https://www.kdnuggets.com/2019/01/top-10-books-nlp-text-analysis.html
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The Backpropagation Algorithm Demystified
A crucial aspect of machine learning is its ability to recognize error margins and to interpret data more precisely as rising numbers of datasets are fed through its neural network. Commonly referred to as backpropagation, it is a process that isn’t as complex as you might think.https://www.kdnuggets.com/2019/01/backpropagation-algorithm-demystified.html
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Good Feature Building Techniques and Tricks for Kaggle
A selection of top tips to obtain great results on Kaggle leaderboards, including useful code examples showing how best to use Latitude and Longitude features.https://www.kdnuggets.com/2018/12/feature-building-techniques-tricks-kaggle.html
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Synthetic Data Generation: A must-have skill for new data scientists
A brief rundown of methods/packages/ideas to generate synthetic data for self-driven data science projects and deep diving into machine learning methods.https://www.kdnuggets.com/2018/12/synthetic-data-generation-must-have-skill.html
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Awards and Honors for KDnuggets
Here are notable KDnuggets awards, honors, and mentions In Top DataScience Blogs to follow in 2021, Dev.to, Jun 2021. In Digital Scouting Top 100 Digital Read more »https://www.kdnuggets.com/about/awards.html
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The brain as a neural network: this is why we can’t get along
This article sets out to answer the question: what insights can we gain about ourselves by thinking of the brain as a machine learning model?https://www.kdnuggets.com/2018/12/brain-neural-network.html
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Why You Shouldn’t be a Data Science Generalist">Why You Shouldn’t be a Data Science Generalist
But it’s hard to avoid becoming a generalist if you don’t know which common problem classes you could specialize in in the fist place. That’s why I put together a list of the five problem classes that are often lumped together under the “data science” heading.https://www.kdnuggets.com/2018/12/why-shouldnt-data-science-generalist.html
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Solve any Image Classification Problem Quickly and Easily
This article teaches you how to use transfer learning to solve image classification problems. A practical example using Keras and its pre-trained models is given for demonstration purposes.https://www.kdnuggets.com/2018/12/solve-image-classification-problem-quickly-easily.html
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Keras Hyperparameter Tuning in Google Colab Using Hyperas
In this post, I will show you how you can tune the hyperparameters of your existing keras models using Hyperas and run everything in a Google Colab Notebook.https://www.kdnuggets.com/2018/12/keras-hyperparameter-tuning-google-colab-hyperas.html
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Introduction to Named Entity Recognition
Named Entity Recognition is a tool which invariably comes handy when we do Natural Language Processing tasks. Read on to find out how.https://www.kdnuggets.com/2018/12/introduction-named-entity-recognition.html
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Explainable Artificial Intelligence (Part 2) – Model Interpretation Strategies
The aim of this article is to give you a good understanding of existing, traditional model interpretation methods, their limitations and challenges. We will also cover the classic model accuracy vs. model interpretability trade-off and finally take a look at the major strategies for model interpretation.https://www.kdnuggets.com/2018/12/explainable-ai-model-interpretation-strategies.html
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Kick Start Your Data Career! Tips From the Frontline
I am going to provide very interesting and useful tips through this blog series which will help students to kick start their career in Data.https://www.kdnuggets.com/2018/12/kick-start-your-data-career.html
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AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019
Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html
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Variational Autoencoders Explained in Detail
We explain how to implement VAE - including simple to understand tensorflow code using MNIST and a cool trick of how you can generate an image of a digit conditioned on the digit.https://www.kdnuggets.com/2018/11/variational-autoencoders-explained.html
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Sales Forecasting Using Facebook’s Prophet
In this tutorial we’ll use Prophet, a package developed by Facebook to show how one can achieve this.https://www.kdnuggets.com/2018/11/sales-forecasting-using-prophet.html
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My secret sauce to be in top 2% of a Kaggle competition
A collection of top tips on ways to explore features and build better machine learning models, including feature engineering, identifying noisy features, leakage detection, model monitoring, and more.https://www.kdnuggets.com/2018/11/secret-sauce-top-kaggle-competition.html
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Data Science Strategy Safari: Aligning Data Science Strategy to Org Strategy
The title of this post is derived by drawing inspiration from Mintzberg’s seminal work. In this post, I am attempting to take you on a safari through the data science strategy formulation process.https://www.kdnuggets.com/2018/11/data-science-strategy-safari-aligning-data-science-strategy.html
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Cartoon: Thanksgiving, Big Data, and Turkey Data Science.
A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.https://www.kdnuggets.com/2018/11/cartoon-thanksgiving-turkey-data-science.html
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Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices
LSTMs are very powerful in sequence prediction problems because they’re able to store past information. This is important in our case because the previous price of a stock is crucial in predicting its future price.https://www.kdnuggets.com/2018/11/keras-long-short-term-memory-lstm-model-predict-stock-prices.html
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Word Morphing – an original idea
In this post, we describe how to utilise word2vec's embeddings and A* search algorithm to morph between words.https://www.kdnuggets.com/2018/11/word-morphing-original-idea.html