Search results for Deep Learning Development Programming

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• Create Your Own Computer Vision Sandbox

  This post covers a wide array of computer vision tasks, from automated data collection to CNN model building.

  https://www.kdnuggets.com/2020/02/computer-vision-sandbox.html

• 3 common data science career transitions, and how to make them happen

  Breaking into a career in Data Science can depend on where you start. See if you fit into one of these three categories of "newbies," and then find out how to make your professional transition into the field.

  https://www.kdnuggets.com/2020/01/3-common-data-science-career-transitions.html

• Why Python is One of the Most Preferred Languages for Data Science?

  Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.

  https://www.kdnuggets.com/2020/01/python-preferred-languages-data-science.html

• What is a Data Scientist Worth?">What is a Data Scientist Worth?

  What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.

  https://www.kdnuggets.com/2019/12/data-scientist-worth.html

• How To “Ultralearn” Data Science: removing distractions and finding focus, Part 2

  This second part in a series about how to "ultralearn" data science will guide you through several techniques to remove those distractions -- because your focus needs more focus.

  https://www.kdnuggets.com/2019/12/ultralearn-data-science-distractions-focus-part2.html

• Let’s Build an Intelligent Chatbot

  Check out this step by step approach to building an intelligent chatbot in Python.

  https://www.kdnuggets.com/2019/12/build-intelligent-chatbot.html

• Data Science Curriculum Roadmap">Data Science Curriculum Roadmap

  What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.

  https://www.kdnuggets.com/2019/12/data-science-curriculum-roadmap.html

• 10 Free Must-read Books on AI">10 Free Must-read Books on AI

  Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.

  https://www.kdnuggets.com/2019/11/10-free-must-read-books-ai.html

• How to Become a (Good) Data Scientist – Beginner Guide">How to Become a (Good) Data Scientist – Beginner Guide

  A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

  https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Probability Mass and Density Functions

  This content is part of a series about the chapter 3 on probability from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. (2016). It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of these concepts.

  https://www.kdnuggets.com/2019/05/probability-mass-density-functions.html

• 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

• 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

• 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

• 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

• 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

• How to DIY Your Data Science Education

  Some people find the path of formal education works well for them, but this may not work for everyone, in every situation. Here are eight ways that you can take a DIY approach to your data science education.

  https://www.kdnuggets.com/2019/04/diy-your-data-science-education.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Data Science: 4 Reasons Why Most Are Failing to Deliver

  Data Science: Some see billions in returns, but most are failing to deliver. This article explores some of the reasons why this is the case.

  https://www.kdnuggets.com/2018/05/data-science-4-reasons-failing-deliver.html

• 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

• 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

• 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

• 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

• 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

• A Day in the Life of an AI Developer">A Day in the Life of an AI Developer

  This is the narrative of a typical AI Sunday, where I decided to look at building a sequence to sequence (seq2seq) model based chatbot using some already available sample code and data from the Cornell movie database.

  https://www.kdnuggets.com/2018/01/day-life-ai-developer.html

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• An opinionated Data Science Toolbox in R from Hadley Wickham, tidyverse

  Get your productivity boosted with Hadley Wickham's powerful R package, tidyverse. It has all you need to start developing your own data science workflows.

  https://www.kdnuggets.com/2017/10/tidyverse-powerful-r-toolbox.html

• 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

• 277 Data Science Key Terms, Explained">277 Data Science Key Terms, Explained

  This is a collection of 277 data science key terms, explained with a no-nonsense, concise approach. Read on to find terminology related to Big Data, machine learning, natural language processing, descriptive statistics, and much more.

  https://www.kdnuggets.com/2017/09/data-science-key-terms-explained.html

• 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

• 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

• 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

• 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

• Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

  This article covers the value of understanding the virtualization constructs for the data scientist and data engineer as they deploy their analysis onto all kinds of cloud platforms. Virtualization is a key enabling layer of software for these data workers to be aware of and to achieve optimal results from.

  https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

• Learn Data Science in 8 (Easy) Steps

  Want to learn data science? Check out these 8 (easy) steps to set out in the right direction!

  https://www.kdnuggets.com/2016/10/learn-data-science-8-steps.html

• How to Become a Data Scientist – Part 1">How to Become a Data Scientist – Part 1

  Check out this excellent (and exhaustive) article on becoming a data scientist, written by someone who spends their day recruiting data scientists. Do yourself a favor and read the whole way through. You won't regret it!

  https://www.kdnuggets.com/2016/08/become-data-scientist-part-1.html

• Gregory Piatetsky-Shapiro

  Gregory Piatetsky-Shapiro, Ph.D. is the Founder of KDnuggets, a leading site for Analytics, Big Data, Data Science, Data Mining, and Machine Learning. Gregory was a Read more »

  https://www.kdnuggets.com/gps.html

• 7 Steps to Mastering SQL for Data Science

  Follow these 7 steps to go from SQL data science newbie to seasoned practitioner quickly. No nonsense, just the necessities.

  https://www.kdnuggets.com/2016/06/seven-steps-mastering-sql-data-science.html

• Three Pitfalls to Avoid When Building Data Science Into Your Business

  An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.

  https://www.kdnuggets.com/2016/04/pitfalls-building-data-science-business.html

• Spark SQL for Real-Time Analytics

  Apache Spark is the hottest topic in Big Data. This tutorial discusses why Spark SQL is becoming the preferred method for Real Time Analytics and for next frontier, IoT (Internet of Things).

  https://www.kdnuggets.com/2015/09/spark-sql-real-time-analytics.html

• Interview: Joseph Babcock, Netflix on Genie, Lipstick, and Other In-house Developed Tools

  We discuss role of analytics in content acquisition, data architecture at Netflix, organizational structure, and open-source tools from Netflix.

  https://www.kdnuggets.com/2015/06/interview-joseph-babcock-netflix-in-house-developed-tools.html

• R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites

  R is the most popular overall tool among data miners, although Python usage is growing faster. RapidMiner continues to be most popular suite for data mining/data science. Hadoop/Big Data tools usage grew to 29%, propelled by 3x growth in Spark. Other tools with strong growth include H2O (0xdata), Actian, MLlib, and Alteryx.

  https://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html

• KDnuggets™ News 14:n27, Oct 22

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n27.html

• KDnuggets™ News 14:n26, Oct 8

  Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

  https://www.kdnuggets.com/2014/n26.html

• Apache Spark: O’Reilly Certification, EU Training, University Program

  Recent news on Apache Spark includes developer certification from O'Reilly, upcoming training workshops in EU by Databricks, and Spark tutorial events at major universities.

  https://www.kdnuggets.com/2014/09/apache-spark-training-certification-program.html

• KDnuggets™ News 14:n25, Sep 24

  Features | Software | News | Opinions | Webcasts | Courses | Jobs | Academic | Publications | Tweets | CFP | Quote Features Data Read more »

  https://www.kdnuggets.com/2014/n25.html

• KDnuggets™ News 14:n17, Jul 2

  Features (4) | Software (2) | Opinions (7) | News (6) | Webcasts (1) | Courses (1) | Meetings and Reports (2) | Jobs (4) Read more »

  https://www.kdnuggets.com/2014/n17.html

• KDnuggets™ News 14:n16, Jun 25

  Features (5) | Software (1) | Opinions (2) | News (2) | Webcasts (1) | Courses (1) | Meetings and Reports (6) | Jobs (7) Read more »

  https://www.kdnuggets.com/2014/n16.html

• The Algorithm that Runs the World Can Now Run More of It

  The most important algorithm, used for optimizing almost everything, is linear programming. New advances allow linear programming problems to be solved faster using the new commercial parallel simplex solver.

  https://www.kdnuggets.com/2014/06/fico-algorithm-that-runs-world.html

• KDnuggets™ News 14:n15, Jun 18

  Features (6) | Software (3) | Opinions (6) | News (2) | Webcasts (1) | Courses (1) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n15.html

• KDnuggets™ News 14:n11, May 7

  Features (7) | Opinions (5) | Software (1) | News (3) | Webcasts (4) | Meetings (2) | Jobs (6) | Publications (1) | Tweets Read more »

  https://www.kdnuggets.com/2014/n11.html

• KDnuggets™ News 14:n06, Mar 19

  Features (11) | News (3) | Software (6) | Webcasts (3) | Courses (5) | Competitions (3) | Meetings (6) | Jobs (3) | Academic Read more »

  https://www.kdnuggets.com/2014/n06.html

• KDnuggets™ News 14:n05, Mar 5

  Features (10) | News (6) | Software (5) | Webcasts (1) | Courses (6) | Meetings (5) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n05.html

• KDnuggets™ News 14:n04, Feb 19

  Features (7) | News (10) | Software (2) | Webcasts (2) | Courses (2) | Meetings (2) | Jobs (10) | Academic (4) | Publications Read more »

  https://www.kdnuggets.com/2014/n04.html

• Split on Data Science Skills: Individual vs Team Approach

  The results of latest KDnuggets poll show an almost equal split between those who favor individual and those who favor the team approach. See the counterintuitive regional differences and interesting comments.

  https://www.kdnuggets.com/2014/01/split-on-data-science-skills-individual-vs-team-approach.html

• Unicorn Data Scientists vs Data Science Teams

  A recent post has generated an intense discussion about finding "unicorn" data scientists with a combination of all the needed skills, or whether that skillset is best filled by a team. Here are the highlights, including a proposal how to train well-rounded data scientists.

  https://www.kdnuggets.com/2013/12/unicorn-data-scientists-vs-data-science-teams-discussion.html

• 2013 Dec Publications: Analytics, Big Data, Data Mining and Data Science

  All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »

  https://www.kdnuggets.com/2013/12/publications.html

• 2013 Dec: Analytics, Big Data, Data Mining and Data Science News

  All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »

  https://www.kdnuggets.com/2013/12/index.html

• Statistics Software

  commercial | free Analyse-it!, accurate low-cost statistical software for Microsoft Excel. Appricon's Analysis Studio, a statistical analysis and modeling software with advanced logistic regression modeling, Read more »

  https://www.kdnuggets.com/software/statistics.html

• Bioinformatics Companies

  A B C D E F G H IJ K L M N O P Q R S T U V W XYZ A2IDEA is Read more »

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

• KDnuggets™ News 13:n31, Dec 19

  Features (8) | Software (3) | Webcasts (2) | Courses, Events (1) | Meetings (1) | Jobs (8) | Academic (1) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n31.html

• KDnuggets™ News 13:n17, July 17

  Features (10) | Software (2) | Webcasts (3) | Courses, Events (3) | Meetings (4) | Jobs (4) | Academic (4) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n17.html

• Cloud Analytics and SaaS Providers

  Algorithms.io, offering API to embed popular machine learning algorithms into applications; R as a service. Alpine Data Labs, helps you uncover the predictive analytic power Read more »

  https://www.kdnuggets.com/companies/cloud-analytics-saas.html