Sat.Mar 14, 2020 - Fri.Mar 20, 2020

article thumbnail

TensorFlow 2.0 Tutorial for Deep Learning

Analytics Vidhya

TensorFlow 2.0 – a Major Update for the Deep Learning Community Just when I thought TensorFlow’s market share would be eaten by the emergence. The post TensorFlow 2.0 Tutorial for Deep Learning appeared first on Analytics Vidhya.

article thumbnail

The 4 Best Jupyter Notebook Environments for Deep Learning

KDnuggets

Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Calling the global data science community to #HACKCORONA

Dataconomy

COVID-19 is still spreading exponentially throughout the world. Current statistics indicate that 15-20% of people who get it require hospitalization for respiratory failure for multiple weeks. The hardship falls on elderly people, medical personnel as well as the healthcare system in general. Identifying the main pain points in the current. The post Calling the global data science community to #HACKCORONA appeared first on Dataconomy.

article thumbnail

Azure has the most Cloud Regions, and it's not even close

Data Science 101

The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.

Azure 145
article thumbnail

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

article thumbnail

Top 6 Open Source Pretrained Models for Text Classification you should use

Analytics Vidhya

Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare? The post Top 6 Open Source Pretrained Models for Text Classification you should use appeared first on Analytics Vidhya.

Analytics 398
article thumbnail

Time Series Classification Synthetic vs Real Financial Time Series

KDnuggets

This article discusses distinguishing between real financial time series and synthetic time series using XGBoost.

399
399

More Trending

article thumbnail

Reasons For Transitioning To Cloud Computing In 2020

Smart Data Collective

Cloud computing has now become a common term that all of us have heard of. However, unfortunately, many of us still don’t understand the complete potential of cloud computing. It is high time for all us to understand how it can make our lives easier. Instead of storing data on a computer or hard drive , cloud computing stores programs and data over the internet.

article thumbnail

What is Multicollinearity? Here’s Everything You Need to Know

Analytics Vidhya

Introduction Multicollinearity might be a handful to pronounce but it’s a topic you should be aware of in the machine learning field. I am. The post What is Multicollinearity? Here’s Everything You Need to Know appeared first on Analytics Vidhya.

article thumbnail

What is the most effective policy response to the new coronavirus pandemic?

KDnuggets

Where Test/Trace/Quarantine are working, the number of cases/day have declined empirically. Furthermore, this appears to be a radically superior strategy where it can be deployed. I’ll review the evidence, discuss the other strategies and their consequences, and then discuss what can be done.

398
398
article thumbnail

How dangerous news spreads: What makes Twitter users retweet risk-related information

Dataconomy

Scientists uncover how information related to potential dangers can spread on social media and how this can be prevented. In Japan, a country prone to various natural and man-made calamities, users often turn to social media to spread information about risks and warnings. However, to avoid spreading rumors, it is. The post How dangerous news spreads: What makes Twitter users retweet risk-related information appeared first on Dataconomy.

article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

article thumbnail

Predicting COVID-19 on the U.S. County Level

DataRobot

With the fight against COVID-19 spreading across the U.S. and the world, DataRobot understands it is essential that federal government entities convey accurate information to citizens, local governments, and healthcare providers. Towards that end, DataRobot’s enterprise AI platform has developed models to predict which U.S. counties are likely to have their first confirmed COVID-19 cases in the next five days.

AI 132
article thumbnail

8 Powerful Hacks to Ace Data Science Hackathons

Analytics Vidhya

Introduction Like any discipline, data science also has a lot of “folk wisdom”. This folk wisdom is hard to teach formally or in a. The post 8 Powerful Hacks to Ace Data Science Hackathons appeared first on Analytics Vidhya.

article thumbnail

When Will AutoML replace Data Scientists? Poll Results and Analysis

KDnuggets

Will AI always be 5-10 years away? The majority of respondents to this poll think that AutoML will reach expert level in 5-10 years. Interestingly, it is about the same as 5 years ago. We examine the trends by AutoML experience, industry, and region.

article thumbnail

Google Video – Rules of Machine Learning

Data Science 101

To be great with machine learning, it helps to be a great engineer. That means doing the following: write simple code make it readable comment it fix the ever present sign mistake leverage peer review and version control track performance launch and iterate. Those are the general rules for software engineering, this video contains some specific rules for software with machine learning.

article thumbnail

How to Modernize Manufacturing Without Losing Control

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

article thumbnail

3 Industries Adapting to Major AI Advances in 2020

Smart Data Collective

The market for AI is changing in spectacular ways. It is estimated that the market for artificial intelligence is going to be worth nearly $400 billion by the year 2025. Some industries are driving growth for AI in impressive ways. This is having some major changes on our everyday lives, as well as the operations of many businesses. These days, it seems that human life is becoming more and more intertwined with Artificial Intelligence.

article thumbnail

An Essential Guide to Pretrained Word Embeddings for NLP Practitioners

Analytics Vidhya

Overview Understand the importance of pretrained word embeddings Learn about the two popular types of pretrained word embeddings – Word2Vec and GloVe Compare the. The post An Essential Guide to Pretrained Word Embeddings for NLP Practitioners appeared first on Analytics Vidhya.

Analytics 370
article thumbnail

Build an Artificial Neural Network From Scratch: Part 2

KDnuggets

The second article in this series focuses on building an Artificial Neural Network using the Numpy Python library.

Python 384
article thumbnail

Be Humble: Black Swans and the Limits of Inductive Reasoning

DataRobot

After a decade of relative economic stability, we are now confronted by the COVID-19 pandemic, with many financial analysts labelling it as a ‘black swan’ event. A ‘black swan’ is a metaphor for something unexpected which has a major impact. These type of events can cause significant disruption to business processes, financial markets, and our lives.

AI 112
article thumbnail

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

article thumbnail

Deciphering Value Points Of Salesforce Einstein Analytics With Big Data

Smart Data Collective

We have written extensively about the benefits of big data in marketing. Louis Columbus wrote a great article in Forbes about 10 ways big data is changing the marketing sector. The business services sector is expected to spend over $77 billion on big data in the near future. Marketing services account for the largest fraction of expenditures here. Salesforce recently created a new product called Einstein Analytics.

Big Data 125
article thumbnail

Introduction to Polynomial Regression (with Python Implementation)

Analytics Vidhya

Here’s Everything you Need to Get Started with Polynomial Regression What’s the first machine learning algorithm you remember learning? The answer is typically linear. The post Introduction to Polynomial Regression (with Python Implementation) appeared first on Analytics Vidhya.

Python 367
article thumbnail

Five Interesting Data Engineering Projects

KDnuggets

As the role of the data engineer continues to grow in the field of data science, so are the many tools being developed to support wrangling all that data. Five of these tools are reviewed here (along with a few bonus tools) that you should pay attention to for your data pipeline work.

article thumbnail

Cloud Data Science 11

Data Science 101

Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google is starting to take enterprise AI seriously and Amazon is continuing to do interesting things. So, here is the news. News. Google introduces Cloud AI Platform Pipelines Google Cloud now provides a way to deploy repeatable machine learning pipelines.

article thumbnail

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?

article thumbnail

6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

The global demand for big data is surging. It will be worth $274 billion within the next two years. It is understandable that many computer science majors are considering pursuing careers in this evolving field. But is it really right for you? Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. But not many people understand what it really is and how it’s going to change the world.

article thumbnail

Simpler Experimentation with Jupyter, Papermill, and MLflow

Eugene Yan

Automate your experimentation workflow to minimize effort and iterate faster.

100
100
article thumbnail

A Beginner’s Guide to Data Integration Approaches in Business Intelligence

KDnuggets

An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI.

article thumbnail

Why Data Literacy Matters for the Enterprise

Alation

Thirty years ago, the “holy grail” for companies was organizing all enterprise data in one location to achieve a “single source of truth.” Back then, IT held tight control over data and dripped out insights to the organization. Today, however, it’s a very different story: The advent of big data and the associated move to […]. The post Why Data Literacy Matters for the Enterprise appeared first on Alation.

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

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

article thumbnail

The Growing Importance of Customer Data Mining for SMEs

Smart Data Collective

Big data is changing the direction of small and medium sized businesses. They can use big data for many purposes. However, the value of their big data strategies will vary considerably. Using big data to get a better understanding of your customers is important. Wired author Mike Dickey has written a great article on 10 ways that big data can be used to get a more thorough understanding of your customers.

article thumbnail

Don't Let a Talent Shortage Stop You from Launching AI & Machine Learning Projects

DataRobot

If you’re not already doing AI, machine learning, or some form of advanced analytical project, research from McKinsey indicates that it’s now or never. Their conclusion, in a nutshell, is that laggards might never be able to catch up to the early adopters. If you’ve got AI or ML projects underway, the next question you can turn your attention to is whether or not those efforts are successful.

article thumbnail

Nine lessons learned during my first year as a Data Scientist

KDnuggets

What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business results. Find out about lessons learned from one Data Scientist about how best to work and perform in the role.

article thumbnail

Azure has the most Cloud Regions, and it’s not even close

Data Science 101

The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.

Azure 52
article thumbnail

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!