KDnuggets

MARCH 11, 2020

Let's talk about covid-19; the reality, the numbers, and the data science.

Data Science 400

Data Science Data Analysis Data Analysis 400

Analytics Vidhya

MARCH 10, 2020

Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation. The post Getting into Deep Learning? Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.

Deep Learning 400

Deep Learning Deep Learning Analytics Analytics 400

Data Science 101

MARCH 13, 2020

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Data Science 101.

Data Science 140

Data Science 140

Smart Data Collective

MARCH 13, 2020

It doesn’t matter what the project or desired outcome is, better data science workflows produce superior results. But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. 5 Tips for Better Data Science Workflows. Data science is a complex field that requires experience, skill, patience, and systematic decision-making in order to be successful.

Data Science 121

Data Science Data Scientist Data Visualization Algorithm 121

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

KDnuggets

MARCH 9, 2020

Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

Machine Learning 400

Machine Learning Machine Learning Data Science AI 400

Analytics Vidhya

MARCH 9, 2020

Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.

Decision Trees 400

Decision Trees Machine Learning Machine Learning Analytics 400

Smart Data Collective

MARCH 13, 2020

Big data has opened up a can of worms when it comes to online privacy. A poll cited by Broadband Now shows that 95% of Americans are concerned about their online privacy, but only 50% are taking action to safeguard it. This has opened up discussions about the benefits of online proxies. Concerns about online privacy have peaked this week. A bipartisan bill by Senators Dianne Feinstein and Linsey Graham would require online platforms to make messages unencrypted.

Big Data 110

Big Data Big Data Algorithm 110

KDnuggets

MARCH 9, 2020

In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

Data Scientist 400

Data Scientist Data Science 400

Analytics Vidhya

MARCH 8, 2020

Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP. The post spaCy Tutorial to Learn and Master Natural Language Processing (NLP) appeared first on Analytics Vidhya.

Natural Language Processing 400

Natural Language Processing Analytics Analytics Python 400

Data Science 101

MARCH 7, 2020

Lots of happenings this week. The Cloud Data Science world is keeping busy. Also, the coronavirus is affecting many upcoming conferences, so just be aware of that. News. Honeywell has announced the development of the most powerful quantum computer in the world They are partnering with Microsoft Azure so eventually it will be a part of Azure Quantum Google Cloud Speech to Text got many updates It now supports 7 new languages, has better punctuation, understand whom is speaking, and more Google Cl

Cloud Data 118

Cloud Data Data Science Azure Hadoop 118

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

Smart Data Collective

MARCH 12, 2020

Fire safety technology is changing in interesting ways. Worcester Polytechnic Institute has the only graduate fire protection engineering program in the United States. Professors at this school have said that big data is becoming more integral to the fire protection field. Big Data Finds New Applications in Fire Safety. Data analytics is a pretty hot topic right now.

Analytics 109

Analytics Analytics Big Data Big Data 109

KDnuggets

MARCH 13, 2020

This articles outlines 5 sets of tools every lazy full-stack data scientist should use.

Machine Learning 399

Machine Learning Machine Learning Data Scientist 399

Analytics Vidhya

MARCH 13, 2020

Pivot tables – the Swiss Army Knife of data analysis I love how quickly I can analyze data using pivot tables. With one click. The post Here’s How to Build a Pivot Table using Pandas in Python appeared first on Analytics Vidhya.

Python 382

Python Data Analysis Data Analysis Analytics 382

DataRobot

MARCH 11, 2020

You’ve heard about how AI and machine learning are transforming businesses across industries and around the world, but you don’t know how they’ve done it or even where to start. Figuring out the right problems to solve with machine learning can be a daunting exercise. Where are the good opportunities to leverage AI within your organization? What problems are best solved with AI?

Machine Learning 21

Machine Learning Machine Learning AI AI 21

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Data Science 101

MARCH 13, 2020

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Ryan Swanstrom.

Data Science 52

Data Science 52

KDnuggets

MARCH 8, 2020

For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.

Machine Learning 398

Machine Learning Machine Learning Data Science Big Data 398

Analytics Vidhya

MARCH 11, 2020

Introduction to Random Forest What’s the first image that comes to your mind when you think about Random Forest? It conjures up images of. The post A Beginner’s Guide to Random Forest Hyperparameter Tuning appeared first on Analytics Vidhya.

Analytics 364

Analytics Analytics Decision Trees Data Visualization 364

Alation

MARCH 10, 2020

In a spirit of sharing and transparency, in this post we’ll share the policy that we have adopted at Alation in approaching work during this Coronavirus outbreak. We announced this policy to our employees on Friday, March 6, 2020. It was the time when they loved each other best, without hurry or excess, when both […]. The post Work in the time of Coronavirus appeared first on Alation.

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52

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

DataCentric podcast

MARCH 9, 2020

Now that we've seen earnings from all of the tier-one infrastructure players, hosts Steve McDowell & Matt Kimball talk about what the flat-to-down quarter means to the overall enterprise infrastructure market. There are earnings from Dell Technologies, Hewlett Packard Enterprise, Vmware, as well as other recent earnings announcements, that give us color.

AI 52

AI AI 52

KDnuggets

MARCH 10, 2020

Has coronavirus impacted your conference or other travel plans, and do you anticipate it causing further professional or educational disruption in the near future? Take part in the new KDnuggets poll and have your say.

Machine Learning 389

Machine Learning Machine Learning Data Science AI 389

Analytics Vidhya

MARCH 11, 2020

Introduction For loops are the antithesis of efficient programming. They’re still necessary and are the first conditional loops taught to Python beginners but in. The post What are Lambda Functions? A Quick Guide to Lambda Functions in Python appeared first on Analytics Vidhya.

Python 343

Python Analytics Analytics 343

DeepMind

MARCH 10, 2020

Our goal is to use visual grounding to improve unsupervised word mapping between languages. The key idea is to establish a common visual representation between two languages by learning embeddings from unpaired instructional videos narrated in the native language.

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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?

KDnuggets

MARCH 9, 2020

Game theory is experiencing a renaissance driven by the evolution of AI. What are some classic and new ideas that data scientists should be aware of.

Machine Learning 379

Machine Learning Machine Learning Data Scientist AI 379

KDnuggets

MARCH 12, 2020

A new optimization framework helps to incorporate fairness constraints in machine learning models.

Machine Learning 377

Machine Learning Machine Learning 377

KDnuggets

MARCH 13, 2020

I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.

Machine Learning 342

Machine Learning Machine Learning 342

Analytics Vidhya

MARCH 12, 2020

Introduction TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. Developed and pioneered by Google, TensorFlow is. The post Top Highlights from TensorFlow Dev Summit 2020! appeared first on Analytics Vidhya.

Deep Learning 341

Deep Learning Deep Learning Machine Learning Machine Learning 341

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

KDnuggets

MARCH 12, 2020

Here is how you can teach your model to learn quickly from a few examples.

Machine Learning 341

Machine Learning Machine Learning 341

KDnuggets

MARCH 13, 2020

After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

Machine Learning 335

Machine Learning Machine Learning ML ML 335

KDnuggets

MARCH 10, 2020

This article contain a brief intro to Generative Adversarial Network(GAN) and how to build a Human Face Generator.

Python 299

Python 299

KDnuggets

MARCH 12, 2020

Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.

Analytics 292

Analytics Analytics 292

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!