Analytics Vidhya

JANUARY 28, 2020

Overview Understand the structure of a Machine Learning Pipeline Build an end-to-end ML pipeline on a real-world data Train a Random Forest Regressor for. The post Build your first Machine Learning pipeline using scikit-learn! appeared first on Analytics Vidhya.

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Dataconomy

JANUARY 30, 2020

Patient privacy and safety have always been cornerstones of the U.S. healthcare system. But in today’s digital era, there are apps tracking the most sensitive information such as the female menstrual cycle and fertility window. The collection of this data might be valuable for the future of healthcare – the. The post Can Femtech deliver radically personalized care to women?

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Smart Data Collective

JANUARY 27, 2020

The market for affiliate marketing is expected to reach $8.2 billion by 2022. AI is making it easier than ever to succeed in this growing field. The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. No wonder, more or less but the majority of marketers have already applied them both at their campaigns.

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DataRobot

JANUARY 27, 2020

In Super Bowl LIV this Sunday, the Kansas City Chiefs will face the San Francisco 49ers in Miami, Florida. This will be the first Super Bowl appearance for the Chiefs in 50 years. After a loss in 2013, the 49ers are looking to secure their sixth Super Bowl ring, which would tie them with the New England Patriots and Pittsburgh Steelers for the league record.

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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

Analytics Vidhya

JANUARY 26, 2020

Overview Regular Expressions or Regex is a versatile tool that every Data Scientist should know about Regex can automate various mundane data processing tasks. The post 4 Applications of Regular Expressions that every Data Scientist should know (with Python code)! appeared first on Analytics Vidhya.

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Dataconomy

JANUARY 29, 2020

What does the cloud industry has to offer for the year 2020? What are the trends we will see in cloud adoption and cloud-to-cloud migration? How will 5G impact cloud adoption? Read on. The global economic outlook has been lukewarm heading into 2020, yet there is much reason for confidence. The post Thriving SaaS Growth and Containerization Use Will Drive Cloud Market in 2020 appeared first on Dataconomy.

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Data Science 101

JANUARY 29, 2020

Previously, we looked at some Challenges of Data Science Projects. They can be difficult, and they do not alway succeed. Below are 3 techniques to help your next project become a data science success. 1. Start with a Plan. If you don’t know where you are going, you might end up someplace else. Yogi Berra. This quote by Yogi is humorous, but it is true.

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Analytics Vidhya

JANUARY 27, 2020

Overview Learn how to perform text classification using PyTorch Understand the key points involved while solving text classification Learn to use Pack Padding feature. The post Build Your First Text Classification model using PyTorch appeared first on Analytics Vidhya.

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DataRobot

JANUARY 31, 2020

Climate change and catastrophic weather phenomena dominated much of the global headlines in 2019, with devastating reports of earthquakes, hurricanes, and other powerful forces of nature destroying homes and lives. Some of the starkest images were those of raging wildfires that wiped out not only homes but also huge swathes of natural land, from Australia to California and dozens of other countries in between.

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Smart Data Collective

JANUARY 29, 2020

The future of business relies heavily on big data advancements. One of the biggest strides that the technology sector has made for corporations involves the creation of the digital workplace with AI, machine learning and other big data tools. This new work environment functions exclusively in a virtual world. Business owners use digital workplaces to organize their company documents and provide employees with continuous access to files.

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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

Data Science 101

JANUARY 31, 2020

Welcome to Cloud Data Science 5. There were not as many announcements as last week in Cloud Data Science 4 , but quantity is not what is important. The first announcement is big! Let’s get started. News. The Pandas library goes 1.0 Yes, it had not been at version 1.0 yet. Version 1.0 does not bring any major architectural changes. It marks a commintment by the community and development team.

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Analytics Vidhya

JANUARY 29, 2020

Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep learning Code activation functions. The post Fundamentals of Deep Learning – Activation Functions and When to Use Them? appeared first on Analytics Vidhya.

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DataRobot

JANUARY 29, 2020

Introducing New Partnership with Robotics Process Automation (RPA) vendor with Blue Prism. DataRobot is pleased to announce our new partnership with RPA vendor Blue Prism. Blue Prism has been a leading RPA vendor since its founding in 2001. They provide a highly scalable and robust platform, enabling additional technologies such as AI.

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Smart Data Collective

JANUARY 27, 2020

Online privacy is more of a concern than ever before. A poll from Pew Research showed that 62% of Americans are worried that they can’t go a single day without their data being collected. Fortunately, big data can also help with protecting privacy. Big data advances have made VPNs more effective than ever. Big Data Has Led to Impressive Improvements in VPNs.

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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

DataRobot Blog

JANUARY 29, 2020

by Jen Underwood. World Economic Forum’s 2020 Future of Jobs report continues to forecast a bright outlook for Data, AI, and Cloud Computing professionals. The Jobs of Tomorrow: Mapping Opportunity in the New. Read More.

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Gil Press for Forbes

JANUARY 29, 2020

Turing Award for Deep Learning, NLP becomes the New New Thing, and other highlights of the search for intelligence in 2019

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Depends on the Definition

JANUARY 29, 2020

An important part of machine learning applications, is making sure that there is no data degeneration while a model is in production. Sometimes downstream data processing changes and machine learning models are very prone to silent failure due to this.

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Smart Data Collective

JANUARY 29, 2020

The federal government is often slow to embrace new technology. However, many federal agencies have finally discovered the countless benefits of big data. The Internal Revenue Service (IRS) is one of the organizations that has started using big data to enforce its policies. Small businesses should utilize their own big data tools to keep up with the evolving changes this has triggered.

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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.

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