2019

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Open Source Projects by Google, Uber and Facebook for Data Science and AI

KDnuggets

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

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An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

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Here is how IBM’s Data Scientists look at Data-Driven Future

Dataconomy

An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. And IBM has the recipe for this. Read on. “Without data, you simply can’t. The post Here is how IBM’s Data Scientists look at Data-Driven Future appeared first on Dataconomy.

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10 Free Top Notch Machine Learning Courses

KDnuggets

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Getting Started with Automated Text Summarization

KDnuggets

This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

Python 388
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5 Key Reasons Why Data Scientists Are Quitting their Jobs

Analytics Vidhya

Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.

More Trending

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A Doomed Marriage of Machine Learning and Agile

KDnuggets

Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

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5 Weird and Hilarious Uses of Data Science

Analytics Vidhya

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.

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6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist

Analytics Vidhya

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

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Random Forest vs Neural Networks for Predicting Customer Churn

KDnuggets

Let us see how random forest competes with neural networks for solving a real world business problem.

Analytics 353
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Data Science Curriculum Roadmap

KDnuggets

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.

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Market Basket Analysis: A Tutorial

KDnuggets

This article is about Market Basket Analysis & the Apriori algorithm that works behind it.

Algorithm 335
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What is the most important question for Data Science (and Digital Transformation)

KDnuggets

With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult. While machine learning offers significant power in driving digital transformations, a business must start with the right questions and leave the math to the development teams.

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Explainability: Cracking open the black box, Part 1

KDnuggets

What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.

AI 322
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark

Analytics Vidhya

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.

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Interpretability part 3: LIME and SHAP

KDnuggets

The third part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers methods that try to explain each prediction instead of establishing a global explanation.

AI 313
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The 4 fastest ways not to get hired as a data scientist

KDnuggets

Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.

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What is a Data Scientist Worth?

KDnuggets

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.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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10 Free Must-read Books on AI

KDnuggets

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.

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How YouTube is Recommending Your Next Video

KDnuggets

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

Algorithm 308
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10 Free Top Notch Natural Language Processing Courses

KDnuggets

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.

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Mathematics behind Machine Learning – The Core Concepts you Need to Know

Analytics Vidhya

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch

KDnuggets

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.

Python 307
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10 Powerful Python Tricks for Data Science you Need to Try Today

Analytics Vidhya

Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.

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How to Become More Marketable as a Data Scientist

KDnuggets

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.

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12 NLP Researchers, Practitioners & Innovators You Should Be Following

KDnuggets

Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Knowing Your Neighbours: Machine Learning on Graphs

KDnuggets

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

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11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

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6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists

Analytics Vidhya

Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.

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Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)

Analytics Vidhya

Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.

Python 307
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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.