Search results for AI ML Programming Research
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Which Deep Learning Framework is Growing Fastest?
In September 2018, I compared all the major deep learning frameworks in terms of demand, usage, and popularity. TensorFlow was the champion of deep learning frameworks and PyTorch was the youngest framework. How has the landscape changed?https://www.kdnuggets.com/2019/05/which-deep-learning-framework-growing-fastest.html
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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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2019 Best Masters in Data Science and Analytics – Online
We provide an updated comprehensive and objective survey of online Masters in Analytics and Data Science, including rankings, tuition, and duration of the education program.https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.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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How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms
We outline three different clustering algorithms - k-means clustering, hierarchical clustering and Graph Community Detection - providing an explanation on when to use each, how they work and a worked example.https://www.kdnuggets.com/2019/04/introduction-clustering-algorithms.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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Data Science with Optimus Part 1: Intro
With Optimus you can clean your data, prepare it, analyze it, create profilers and plots, and perform machine learning and deep learning, all in a distributed fashion, because on the back-end we have Spark, TensorFlow, Sparkling Water and Keras. It’s super easy to use.https://www.kdnuggets.com/2019/04/data-science-with-optimus-part-1-intro.html
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Another 10 Free Must-See Courses for Machine Learning and Data Science">Another 10 Free Must-See Courses for Machine Learning and Data Science
Check out another follow-up collection of free machine learning and data science courses to give you some spring study ideas.https://www.kdnuggets.com/2019/04/another-10-free-must-see-courses-machine-learning-data-science.html
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Top 8 Data Science Use Cases in Gaming
The understanding of the data value for optimization and improvement of gaming makes specialists search for new ways to apply data science and its benefits in the gaming business. Therefore, various specific data science use cases appear. Here is our list of the most efficient and widely applied data science use cases in gaming.https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html
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Top R Packages for Data Cleaning
Data cleaning is one of the most important and time consuming task for data scientists. Here are the top R packages for data cleaning.https://www.kdnuggets.com/2019/03/top-r-packages-data-cleaning.html
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Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision
In this blog, I’ll walk you through a personal project in which I cheaply built a classifier to detect anti-semitic tweets, with no public dataset available, by combining weak supervision and transfer learning.https://www.kdnuggets.com/2019/03/building-nlp-classifiers-cheaply-transfer-learning-weak-supervision.html
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Who is a typical Data Scientist in 2019?">Who is a typical Data Scientist in 2019?
We investigate what a typical data scientist looks like and see how this differs from this time last year, looking at skill set, programming languages, industry of employment, country of employment, and more.https://www.kdnuggets.com/2019/03/typical-data-scientist-2019.html
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Another 10 Free Must-Read Books for Machine Learning and Data Science">Another 10 Free Must-Read Books for Machine Learning and Data Science
Here's a third set of 10 free books for machine learning and data science. Have a look to see if something catches your eye, and don't forget to check the previous installments for reading material while you're here.https://www.kdnuggets.com/2019/03/another-10-free-must-read-books-for-machine-learning-and-data-science.html
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On Building Effective Data Science Teams
We take a look at the qualities that make a successful data team in order to help business leaders and executives create better AI strategies.https://www.kdnuggets.com/2019/03/building-effective-data-science-teams.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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The Analytics Engineer – new role in the data team
In a constantly changing landscape and with many companies, the roles and responsibilities of data engineers, analysts, and data scientists are changing, forcing the introduction of a new role: The Analytics Engineer.https://www.kdnuggets.com/2019/02/analytics-engineer-data-team.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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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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7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition">7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition
With a new year upon us, I thought it would be a good time to revisit the concept and put together a new learning path for mastering machine learning with Python. With these 7 steps you can master basic machine learning with Python!https://www.kdnuggets.com/2019/01/7-steps-mastering-basic-machine-learning-python.html
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Machine Learning Security
We take a look at how malicious actors can break machine learning models and what some of the best practices are when it comes to stopping them.https://www.kdnuggets.com/2019/01/machine-learning-security.html
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The Data Science Gold Rush: Top Jobs in Data Science and How to Secure Them
Because big data touches almost every industry across the board, those who aren’t already working in data and analytics will soon be utilizing the technology for its undeniable business benefits. Whichever way you slice it, the future of work is through data.https://www.kdnuggets.com/2019/01/top-jobs-data-science.html
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Automated Machine Learning in Python
An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.https://www.kdnuggets.com/2019/01/automated-machine-learning-python.html
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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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End To End Guide For Machine Learning Projects">End To End Guide For Machine Learning Projects
Let’s imagine you are attempting to work on a machine learning project. This article will provide you with the step to step guide on the process that you can follow to implement a successful project.https://www.kdnuggets.com/2019/01/end-to-end-guide-machine-learning-project.html
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About KDnuggets
KDnuggets is a leading site on Data Science, Machine Learning, AI and Analytics. KDnuggets was founded by Gregory Piatetsky-Shapiro. KD stands for Knowledge Discovery. Read more »https://www.kdnuggets.com/about/index.html
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Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning">Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning
Here are the top 15 Python libraries across Data Science, Data Visualization. Deep Learning, and Machine Learning.https://www.kdnuggets.com/2018/12/top-python-libraries-2018.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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Learning Machine Learning vs Learning Data Science">Learning Machine Learning vs Learning Data Science
We clarify some important and often-overlooked distinctions between Machine Learning and Data Science, covering education, scalable vs non-scalable jobs, career paths, and more.https://www.kdnuggets.com/2018/12/learning-machine-learning-data-science.html
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A comprehensive list of Machine Learning Resources: Open Courses, Textbooks, Tutorials, Cheat Sheets and more
A thorough collection of useful resources covering statistics, classic machine learning, deep learning, probability, reinforcement learning, and more.https://www.kdnuggets.com/2018/12/finlayson-machine-learning-resources.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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Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools
We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields.https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html
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Deep Learning for the Masses (… and The Semantic Layer)
Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer.https://www.kdnuggets.com/2018/11/deep-learning-masses-semantic-layer.html
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Intro to Data Science for Managers">Intro to Data Science for Managers
This mindmap contains a condensed introduction to the key data science concepts and techniques that have revolutionized the business landscape and became essential for making beneficial data-driven decisionshttps://www.kdnuggets.com/2018/11/intro-data-science-managers.html
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6 Goals Every Wannabe Data Scientist Should Make for 2019
Looking to embark on a new path as a data scientist? That goal may be worthy, but it's essential for people to also set goals for 2019 that will help them get closer to that broader aim.https://www.kdnuggets.com/2018/11/6-goals-every-wannabe-data-scientist-2019.html
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What is the Best Python IDE for Data Science?">What is the Best Python IDE for Data Science?
Before you start learning Python, choose the IDE that suits you the best. We examine many available tools, their pros and cons, and suggest how to choose the best Python IDE for you.https://www.kdnuggets.com/2018/11/best-python-ide-data-science.html
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Best Practices for Using Notebooks for Data Science
Are you interested in implementing notebooks for data science? Check out these 5 things to consider as you begin the process.https://www.kdnuggets.com/2018/11/best-practices-notebooks-data-science.html
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Introduction to PyTorch for Deep Learning
In this tutorial, you’ll get an introduction to deep learning using the PyTorch framework, and by its conclusion, you’ll be comfortable applying it to your deep learning models.https://www.kdnuggets.com/2018/11/introduction-pytorch-deep-learning.html
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Text Preprocessing in Python: Steps, Tools, and Examples
We outline the basic steps of text preprocessing, which are needed for transferring text from human language to machine-readable format for further processing. We will also discuss text preprocessing tools.https://www.kdnuggets.com/2018/11/text-preprocessing-python.html
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Top 13 Python Deep Learning Libraries">Top 13 Python Deep Learning Libraries
Part 2 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.https://www.kdnuggets.com/2018/11/top-python-deep-learning-libraries.html
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Apache Spark Introduction for Beginners">Apache Spark Introduction for Beginners
An extensive introduction to Apache Spark, including a look at the evolution of the product, use cases, architecture, ecosystem components, core concepts and more.https://www.kdnuggets.com/2018/10/apache-spark-introduction-beginners.html
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How To Learn Data Science If You’re Broke">How To Learn Data Science If You’re Broke
A first-hand account on how to learn data science on a budget, with advice covering useful resources, a recommended curriculum, typical concepts, building a portfolio and more.https://www.kdnuggets.com/2018/10/learn-data-science-broke.html
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The Growing Participation of Women in the Data Science Community
We still have a long way to go before the gender representation becomes more equalized, but the field at large indicates hopeful trends about women working in the role or desiring to do so in the future.https://www.kdnuggets.com/2018/09/growing-participation-women-data-science-community.html
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Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code">Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code
Auto-Keras is an open source software library for automated machine learning. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.https://www.kdnuggets.com/2018/08/auto-keras-create-deep-learning-model-4-lines-code.html
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How to Build a Data Science Portfolio">How to Build a Data Science Portfolio
This post will include links to where various data science professionals (data science managers, data scientists, social media icons, or some combination thereof) and others talk about what to have in a portfolio and how to get noticed.https://www.kdnuggets.com/2018/07/build-data-science-portfolio.html
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Cookiecutter Data Science: How to Organize Your Data Science Project">Cookiecutter Data Science: How to Organize Your Data Science Project
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.https://www.kdnuggets.com/2018/07/cookiecutter-data-science-organize-data-project.html
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The ultimate list of Web Scraping tools and software
Here's your guide to pick the right web scraping tool for your specific data needs.https://www.kdnuggets.com/2018/07/ultimate-list-web-scraping-tools-software.html
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Introduction to Apache Spark
This is the first blog in this series to analyze Big Data using Spark. It provides an introduction to Spark and its ecosystem.https://www.kdnuggets.com/2018/07/introduction-apache-spark.html
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7 Simple Data Visualizations You Should Know in R">7 Simple Data Visualizations You Should Know in R
This post presents a selection of 7 essential data visualizations, and how to recreate them using a mix of base R functions and a few common packages.https://www.kdnuggets.com/2018/06/7-simple-data-visualizations-should-know-r.html
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Data Science Predicting The Future
In this article we will expand on the knowledge learnt from the last article - The What, Where and How of Data for Data Science - and consider how data science is applied to predict the future.https://www.kdnuggets.com/2018/06/data-science-predicting-future.html
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DIY Deep Learning Projects">DIY Deep Learning Projects
Inspired by the great work of Akshay Bahadur in this article you will see some projects applying Computer Vision and Deep Learning, with implementations and details so you can reproduce them on your computer.https://www.kdnuggets.com/2018/06/diy-deep-learning-projects.html
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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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The Future of Artificial Intelligence: Is Your Job Under Threat?
This article examines the rapid growth of artificial intelligence: how we got to this point, the future AI job market and what can be done.https://www.kdnuggets.com/2018/06/future-ai-job-under-threat.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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Event Processing: Three Important Open Problems
This article summarizes the three most important problems to be solved in event processing. The facts in this article are supported by a recent survey and an analysis conducted on the industry trends.https://www.kdnuggets.com/2018/05/event-processing-important-open-problems.html
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Top 20 R Libraries for Data Science in 2018">Top 20 R Libraries for Data Science in 2018
We have prepared an infographic of Top 20 R packages for data science, which covers the libraries main features and GitHub activities, as all of the libraries are open-source.https://www.kdnuggets.com/2018/05/top-20-r-libraries-data-science-2018.html
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If chatbots are to succeed, they need this
Can logic be used to make chatbots intelligent? In the 1960s this was taken for granted. Now we have all but forgotten the logical approach. Is it time for a revival?https://www.kdnuggets.com/2018/05/chatbots-succeed-need-logic.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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Detecting Breast Cancer with Deep Learning
Breast cancer is the most common invasive cancer in women, and the second main cause of cancer death in women, after lung cancer. In this article I will build a WideResNet based neural network to categorize slide images into two classes, one that contains breast cancer and other that doesn’t using Deep Learning Studio.https://www.kdnuggets.com/2018/05/detecting-breast-cancer-deep-learning.html
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Jupyter Notebook for Beginners: A Tutorial
The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. Although it is possible to use many different programming languages within Jupyter Notebooks, this article will focus on Python as it is the most common use case.https://www.kdnuggets.com/2018/05/jupyter-notebook-beginners-tutorial.html
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Data Science Interview Guide
Traditionally, Data Science would focus on mathematics, computer science and domain expertise. While I will briefly cover some computer science fundamentals, the bulk of this blog will mostly cover the mathematical basics one might either need to brush up on (or even take an entire course).https://www.kdnuggets.com/2018/04/data-science-interview-guide.html
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Top 16 Open Source Deep Learning Libraries and Platforms
We bring to you the top 16 open source deep learning libraries and platforms. TensorFlow is out in front as the undisputed number one, with Keras and Caffe completing the top three.https://www.kdnuggets.com/2018/04/top-16-open-source-deep-learning-libraries.html
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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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Getting Started with PyTorch Part 1: Understanding How Automatic Differentiation Works
PyTorch has emerged as a major contender in the race to be the king of deep learning frameworks. What makes it really luring is it’s dynamic computation graph paradigm.https://www.kdnuggets.com/2018/04/getting-started-pytorch-understanding-automatic-differentiation.html
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Top 8 Free Must-Read Books on Deep Learning">Top 8 Free Must-Read Books on Deep Learning
Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.https://www.kdnuggets.com/2018/04/top-free-books-deep-learning.html
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A “Weird” Introduction to Deep Learning">A “Weird” Introduction to Deep Learning
There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.https://www.kdnuggets.com/2018/03/weird-introduction-deep-learning.html
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Text Processing in R
There are good reasons to want to use R for text processing, namely that we can do it, and that we can fit it in with the rest of our analyses. Furthermore, there is a lot of very active development going on in the R text analysis community right now.https://www.kdnuggets.com/2018/03/text-processing-r.html
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How to Survive Your Data Science Interview
There are many wonderful things about data science. It’s extreme breadth is not one of them. The title of data scientist means something different at every companyhttps://www.kdnuggets.com/2018/03/survive-data-science-interview.html
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A Guide to Hiring Data Scientists
This article provides a short overview of emerging data scientist types and their unique skillsets, as well as a guide for HR professionals and analytics managers who are looking to hire their first data scientists or build a data science team. Included are an overview of skills for each type and specific questions that can be asked to assess candidates.https://www.kdnuggets.com/2018/02/guide-hiring-data-scientists.html
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Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch">Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch
Now you can develop deep learning applications with Google Colaboratory - on the free Tesla K80 GPU - using Keras, Tensorflow and PyTorch.https://www.kdnuggets.com/2018/02/google-colab-free-gpu-tutorial-tensorflow-keras-pytorch.html
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Top 15 Scala Libraries for Data Science in 2018
For your convenience, we have prepared a comprehensive overview of the most important libraries used to perform machine learning and Data Science tasks in Scala.https://www.kdnuggets.com/2018/02/top-15-scala-libraries-data-science-2018.html
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5 Machine Learning Projects You Should Not Overlook">5 Machine Learning Projects You Should Not Overlook
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!https://www.kdnuggets.com/2018/02/5-machine-learning-projects-overlook-feb-2018.html
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My Journey into Deep Learning
In this post I’ll share how I’ve been studying Deep Learning and using it to solve data science problems. It’s an informal post but with interesting content (I hope).https://www.kdnuggets.com/2018/01/journey-into-deep-learning.html
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How To Grow As A Data Scientist">How To Grow As A Data Scientist
In order for a data scientist to grow, they need to be challenged beyond the technical aspects of their jobs. They need to question their data sources, be concise in their insights, know their business and help guide their leaders.https://www.kdnuggets.com/2018/01/how-grow-data-scientist.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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Becoming a Data Scientist">Becoming a Data Scientist
This article contains a lot of links to resources that I think are very helpful in getting you started to "think like a data scientist" which in my opinion is the most important step of the transition. I hope that you find this useful.https://www.kdnuggets.com/2018/01/feizpour-becoming-data-scientist.html
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Supercharging Visualization with Apache Arrow
Interactive visualization of large datasets on the web has traditionally been impractical. Apache Arrow provides a new way to exchange and visualize data at unprecedented speed and scale.https://www.kdnuggets.com/2018/01/supercharging-visualization-apache-arrow.html
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Docker for Data Science">Docker for Data Science
Coming from a statistics background I used to care very little about how to install software and would occasionally spend a few days trying to resolve system configuration issues. Enter the god-send Docker almighty.https://www.kdnuggets.com/2018/01/docker-data-science.html
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Deep Learning Made Easy with Deep Cognition
So normally we do Deep Learning programming, and learning new APIs, some harder than others, some are really easy an expressive like Keras, but how about a visual API to create and deploy Deep Learning solutions with the click of a button? This is the promise of Deep Cognition.https://www.kdnuggets.com/2017/12/deep-learning-made-easy-deep-cognition.html
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How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?">How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?
When I started diving deep into these exciting subjects (by self-study), I discovered quickly that I don’t know/only have a rudimentary idea about/ forgot mostly what I studied in my undergraduate study some essential mathematics.https://www.kdnuggets.com/2017/12/mathematics-needed-learn-data-science-machine-learning.html
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Transitioning to Data Science: How to become a data scientist, and how to create a data science team">Transitioning to Data Science: How to become a data scientist, and how to create a data science team
"A good data scientist in my mind is the person that takes the science part in data science very seriously; a person who is able to find problems and solve them using statistics, machine learning, and distributed computing."https://www.kdnuggets.com/2017/12/transitioning-data-science-become-data-scientist-data-science-team.html
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Best Masters in Data Science and Analytics – Asia and Australia Edition
The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-asia-australia.html
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Today I Built a Neural Network During My Lunch Break with Keras
So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn’t believe that at all. So the next day I set out to play with Keras on my own data.https://www.kdnuggets.com/2017/12/today-built-neural-network-during-lunch-break-keras.html
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Best Masters in Data Science and Analytics – Europe Edition
The third part of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics, examining the programs from Europe.https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-europe.html
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Web Scraping for Data Science with Python
We take a quick look at how web scraping can be useful in the context of data science projects, eg to construct a social graph based of S&P 500 companies, using Python and Gephi.https://www.kdnuggets.com/2017/12/baesens-web-scraping-data-science-python.html
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Why You Should Forget ‘for-loop’ for Data Science Code and Embrace Vectorization">Why You Should Forget ‘for-loop’ for Data Science Code and Embrace Vectorization
Data science needs fast computation and transformation of data. NumPy objects in Python provides that advantage over regular programming constructs like for-loop. How to demonstrate it in few easy lines of code?https://www.kdnuggets.com/2017/11/forget-for-loop-data-science-code-vectorization.html
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Best Masters in Data Science and Analytics in US/Canada
Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html
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The 10 Statistical Techniques Data Scientists Need to Master">The 10 Statistical Techniques Data Scientists Need to Master
The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at this great overview post.https://www.kdnuggets.com/2017/11/10-statistical-techniques-data-scientists-need-master.html
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Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey
The first comprehensive and objective survey of online Masters in Analytics / Data Science, including rankings, tuition, and duration of the education program.https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html
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A Day in the Life of a Data Scientist">A Day in the Life of a Data Scientist
Are you interested in what a data scientist does on a typical day of work? Each data science role may be different, but these five individuals provide insight to help those interested in figuring out what a day in the life of a data scientist actually looks like.https://www.kdnuggets.com/2017/11/day-life-data-scientist.html
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Process Mining with R: Introduction
In the past years, several niche tools have appeared to mine organizational business processes. In this article, we’ll show you that it is possible to get started with “process mining” using well-known data science programming languages as well.https://www.kdnuggets.com/2017/11/process-mining-r-introduction.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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6 Books Every Data Scientist Should Keep Nearby">6 Books Every Data Scientist Should Keep Nearby
The best way to stay in touch is to continue brushing up on your knowledge while also maintaining experience. It’s the perfect storm or combination of skills to help you succeed in the industry.https://www.kdnuggets.com/2017/10/6-books-every-data-scientist-should-keep-nearby.html
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An Overview of 3 Popular Courses on Deep Learning">An Overview of 3 Popular Courses on Deep Learning
After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.https://www.kdnuggets.com/2017/10/3-popular-courses-deep-learning.html
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Want to Become a Data Scientist? Read This Interview First">Want to Become a Data Scientist? Read This Interview First
There’s been a lot of hype about Data Science... and probably just as much confusion about it.
https://www.kdnuggets.com/2017/10/become-data-scientist-read-interview-first.html
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A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)
Looking at the strengths of a neural network, especially a recurrent neural network, I came up with the idea of predicting the exchange rate between the USD and the INR.https://www.kdnuggets.com/2017/10/guide-time-series-prediction-recurrent-neural-networks-lstms.html
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How To Become a 10x Data Scientist, part 1">How To Become a 10x Data Scientist, part 1
A 10x developer is someone who is 10 times more productive than average. We adapt tips and tricks from the developer community to help you become a more proficient data scientist loved by team members and stakeholders.https://www.kdnuggets.com/2017/09/become-10x-data-scientist-part1.html
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PyTorch or TensorFlow?
PyTorch is better for rapid prototyping in research, for hobbyists and for small scale projects. TensorFlow is better for large-scale deployments, especially when cross-platform and embedded deployment is a consideration.https://www.kdnuggets.com/2017/08/pytorch-tensorflow.html
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First Steps of Learning Deep Learning: Image Classification in Keras
Whether you want to start learning deep learning for you career, to have a nice adventure (e.g. with detecting huggable objects) or to get insight into machines before they take over, this post is for you!https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html
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Top Quora Data Science Writers and Their Best Advice, Updated
Get some insight into tips and tricks, the future of the field, career advice, code snippets, and more from the top data science writers on Quora.https://www.kdnuggets.com/2017/07/top-quora-data-science-writers-best-advice-updated.html
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Top 15 Python Libraries for Data Science in 2017">Top 15 Python Libraries for Data Science in 2017
Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.https://www.kdnuggets.com/2017/06/top-15-python-libraries-data-science.html
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Deep Learning Papers Reading Roadmap">Deep Learning Papers Reading Roadmap
The roadmap is constructed in accordance with the following four guidelines: from outline to detail; from old to state-of-the-art; from generic to specific areas; focus on state-of-the-art.https://www.kdnuggets.com/2017/06/deep-learning-papers-reading-roadmap.html
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Is Regression Analysis Really Machine Learning?">Is Regression Analysis Really Machine Learning?
What separates "traditional" applied statistics from machine learning? Is statistics the foundation on top of which machine learning is built? Is machine learning a superset of "traditional" statistics? Do these 2 concepts have a third unifying concept in common? So, in that vein... is regression analysis actually a form of machine learning?https://www.kdnuggets.com/2017/06/regression-analysis-really-machine-learning.html
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7 Steps to Mastering Data Preparation with Python">7 Steps to Mastering Data Preparation with Python
Follow these 7 steps for mastering data preparation, covering the concepts, the individual tasks, as well as different approaches to tackling the entire process from within the Python ecosystem.https://www.kdnuggets.com/2017/06/7-steps-mastering-data-preparation-python.html
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The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity
What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html
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Data Version Control: iterative machine learning
ML modeling is an iterative process and it is extremely important to keep track of all the steps and dependencies between code and data. New open-source tool helps you do that.https://www.kdnuggets.com/2017/05/data-version-control-iterative-machine-learning.html
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The Internet of Things in the Cloud
Cloud computing is the next evolutionary step in Internet-based computing, which provides the means for delivering ICT resources as a service. Internet-of-Things can benefit from the scalability, performance and pay-as-you-go nature of cloud computing infrastructures.https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html
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Using Deep Learning To Extract Knowledge From Job Descriptions">Using Deep Learning To Extract Knowledge From Job Descriptions
We present a deep learning approach to extract knowledge from a large amount of data from the recruitment space. A learning to rank approach is followed to train a convolutional neural network to generate job title and job description embeddings.https://www.kdnuggets.com/2017/05/deep-learning-extract-knowledge-job-descriptions.html
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42 Essential Quotes by Data Science Thought Leaders
42 illuminating quotes you need to read if you’re a data scientist or considering a career in the field – insights from industry experts tackling the tough questions that every data scientist faces.https://www.kdnuggets.com/2017/05/42-essential-quotes-data-science-thought-leaders.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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One Deep Learning Virtual Machine to Rule Them All
The frontend code of programming languages only needs to parse and translate source code to an intermediate representation (IR). Deep Learning frameworks will eventually need their own “IR.”https://www.kdnuggets.com/2017/04/deep-learning-virtual-machine-rule-all.html
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The Data Science of Steel, or Data Factory to Help Steel Factory
Applying Machine Learning to steel production is really hard! Here are some lessons from Yandex researchers on how to balance the need for findings to be accurate, useful, and understandable at the same time.https://www.kdnuggets.com/2017/04/yandex-data-science-steel.html
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What Makes a Good Analyst?
Without doubt, critical thinking is necessary in order to be a good analyst but particular skills and experience are also required. What are some of these skills?https://www.kdnuggets.com/2017/04/gray-makes-good-analyst.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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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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The 42 V’s of Big Data and Data Science">The 42 V’s of Big Data and Data Science
It's 2017 now, and we now operate in an ever more sophisticated world of analytics. To keep up with the times, we present our updated 2017 list: The 42 V's of Big Data and Data Science.https://www.kdnuggets.com/2017/04/42-vs-big-data-data-science.html
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What Is Data Science, and What Does a Data Scientist Do?">What Is Data Science, and What Does a Data Scientist Do?
This article is intended to help define the data scientist role, including typical skills, qualifications, education, experience, and responsibilities. This definition is somewhat loose, and given that the ideal experience and skill set is relatively rare to find in one individual.https://www.kdnuggets.com/2017/03/data-science-data-scientist-do.html
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Open Source Toolkits for Speech Recognition
This article reviews the main options for free speech recognition toolkits that use traditional Hidden Markov Models and n-gram language models.https://www.kdnuggets.com/2017/03/open-source-toolkits-speech-recognition.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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Introduction to Natural Language Processing, Part 1: Lexical Units
This series explores core concepts of natural language processing, starting with an introduction to the field and explaining how to identify lexical units as a part of data preprocessing.https://www.kdnuggets.com/2017/02/datascience-introduction-natural-language-processing-part1.html
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Artificial Intelligence and Speech Recognition for Chatbots: A Primer
Bot bots bots... Read this overview of how artificial intelligence and natural language processing are contributing to chatbot development, and where it all goes from here.https://www.kdnuggets.com/2017/01/artificial-intelligence-speech-recognition-chatbots-primer.html
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The Current State of Automated Machine Learning
What is automated machine learning (AutoML)? Why do we need it? What are some of the AutoML tools that are available? What does its future hold? Read this article for answers to these and other AutoML questions.https://www.kdnuggets.com/2017/01/current-state-automated-machine-learning.html
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90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated)
Stay up-to-date in the data science with active blogs. This is a list of 90 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.https://www.kdnuggets.com/2017/01/blogs-analytics-big-data-mining-data-science-machine-learning.html
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How To Stay Competitive In Machine Learning Business
To stay competitive in machine learning business, you have to be superior than your rivals and not the best possible – says one of the leading machine learning expert. Simple rules are defined here to make that happen. Let’s see how.https://www.kdnuggets.com/2017/01/stay-competitive-machine-learning-business.html
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Laying the Foundation for a Data Team
Admittedly, there is a lot more to building a successful data team, and we would be lying if we pretended we have it all figured out. But hopefully focusing on the elements in this post is a good start.https://www.kdnuggets.com/2016/12/laying-foundation-data-team.html
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The hard thing about deep learning">The hard thing about deep learning
It’s easy to optimize simple neural networks, let’s say single layer perceptron. But, as network becomes deeper, the optmization problem becomes crucial. This article discusses about such optimization problems with deep neural networks.https://www.kdnuggets.com/2016/12/hard-thing-about-deep-learning.html
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10 Tips to Improve your Data Science Interview
Interviewing is a skill. Here are 10 tips and resources to improve your Data Science interviews.https://www.kdnuggets.com/2016/11/tips-improve-your-data-science-interview.html