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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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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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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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 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 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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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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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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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

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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Machine Learning Machine Learning 40

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

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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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Smart Data Collective

JANUARY 29, 2020

Virtual reality (VR) is one of the most promising of today’s prominent technologies. While many conversations about the concept tend to revolve around the entertainment industry, companies are developing and implementing various types of VR across a range of industries. In the future, it may prove challenging to find a sector that doesn’t use virtual reality in some capacity.

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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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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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