The 5 Classification Evaluation Metrics Every Data Scientist Must Know
KDnuggets
OCTOBER 16, 2019
This post is about various evaluation metrics and how and when to use them.
Sat.Oct 12, 2019 - Fri.Oct 18, 2019
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Mathematics behind Machine Learning – The Core Concepts you Need to Know
Analytics Vidhya
OCTOBER 14, 2019
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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A Data Scientist’s relationship with building Predictive Models
Dataconomy
OCTOBER 16, 2019
If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with. The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy.
Big Data Skill sets that Software Developers will Need in 2020
Smart Data Collective
OCTOBER 14, 2019
From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year.
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.
How to Become a (Good) Data Scientist – Beginner Guide
KDnuggets
OCTOBER 16, 2019
A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.
Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)
Analytics Vidhya
OCTOBER 13, 2019
Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya.
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7 Powerful Open Source Tools For Your Data Projects
Smart Data Collective
OCTOBER 14, 2019
Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. Here are some open-source options to consider. 1. Ludwig. Ludwig is a tool that allows people to build data-based deep learning models to make predictions.
How to Easily Deploy Machine Learning Models Using Flask
KDnuggets
OCTOBER 17, 2019
This post aims to make you get started with putting your trained machine learning models into production using Flask API.
A Comprehensive Guide to Learn Swift from Scratch for Data Science
Analytics Vidhya
OCTOBER 16, 2019
Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.
Ready for AI? Start With AI Ethics
DataRobot
OCTOBER 17, 2019
In the past 12 months, artificial intelligence has become headline news, and not always for the right reasons. We’ve heard stories of sexist AI hiring algorithms , racist face detection algorithms , and AIs using your private social media data to influence elections. Embarrassing AI failures such as these can damage your reputation, incur regulatory penalties, and even negatively impact a company’s stock prices.
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.
Improving Big Data Analytics To Address Cybersecurity Challenges
Smart Data Collective
OCTOBER 14, 2019
Advances in mass storage and mobile computing brought about the phenomenon we now know as “big data.” These developments then ushered in solutions and tools that can process vast amounts of information — think terabytes of it or more — in real-time. That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data.
Three Things to Know About Reinforcement Learning
KDnuggets
OCTOBER 14, 2019
As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do you start? The best place to begin is to understand what the concept is, how to implement it, and whether it’s the right approach for a given problem.
Build your First Linear Regression Model in Qlik Sense
Analytics Vidhya
OCTOBER 15, 2019
Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to. The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya.
AI-Driven Casino Marketing: Achieving Better Results than Old-School RFM
DataRobot
OCTOBER 14, 2019
Database marketing based on the Recency-Frequency-Monetary (RFM) approach has been the standard in casino marketing for many decades. Unfortunately, RFM-based marketing has several limitations for casinos. Potentially profitable players are overlooked, while current players may be trained to continually expect a discount. Meanwhile, a proliferation of alternative entertainment options have emerged and are changing customer behavior, presenting risks to casinos if they fail to change their market
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
Cut out everything that’s not surprising
Hacker News
OCTOBER 13, 2019
This is my advice to anyone writing something for the public — especially a talk on stage. People listen to a talk, or read an article, because they want to learn something new. They want a little “oh wow” moment. “I never thought of it that way before.”. People only really learn when they’re surprised. If they’re not surprised, then what you told them just fits in with what they already know.
Artificial Intelligence: Salaries Heading Skyward
KDnuggets
OCTOBER 17, 2019
While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.).
That was PyCon DE & PyData Berlin 2019
Depends on the Definition
OCTOBER 14, 2019
Last weekendPyCon DE and PyData Berlin joined in Berlin for a great conference event that I was lucky to attend. The speaker line-up was great and often it was hard to choose which talk or tutorial to attend.
ARM TechCon 2019 Wrap-Up with Patrick Kennedy from Serve The Home
DataCentric podcast
OCTOBER 14, 2019
As ARM TechCon 2019 wraps up in San Jose, hosts Steve McDowell and Matt Kimball from Moor Insights & Strategy are joined by Patrick Kennedy of Serve the Home in a wide-ranging discussion of the entire microprocessor market, and where ARM fits in. Here's a general timeline for the discussion, though the topics overlap, so you owe it to yourself to listent to the entire thing. 00:00 Intros 02:20 Big Themes & Announcements from TechCon 03:50 Patrick's views of TechCon from a server,
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.
The $10m engineering problem
Twilio Segment
OCTOBER 17, 2019
How we managed to reduce our infrastructure cost by 30%. And how you can too.
Writing Your First Neural Net in Less Than 30 Lines of Code with Keras
KDnuggets
OCTOBER 18, 2019
Read this quick overview of neural networks and learn how to implement your first in very few lines using Keras.
Forrester Does the Math on the ROI of the Alation Data Catalog
Alation
OCTOBER 16, 2019
Whether we’re speaking to data analysts or CDOs, data people almost instantly understand the value of the Alation Data Catalog. Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data. The response is usually some form of, “exactly, that’s the problem my company needs to solve!” At some […]. The post Forrester Does the Math on the ROI of the Alation Data Catalog appeared first on Alation.
Dashboards for Discourse
DataRobot
OCTOBER 15, 2019
The automation-fueled drop in the cost of machine learning enables new, and possibly more socially beneficial forms of civic engagement.
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?
5 Tips for Novice Freelance Data Scientists
KDnuggets
OCTOBER 18, 2019
If you want to launch your data science skills into freelance work, then check out these important tips to help you kick start your next adventure in data.
Choosing a Machine Learning Model
KDnuggets
OCTOBER 14, 2019
Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications.
An Overview of Density Estimation
KDnuggets
OCTOBER 14, 2019
Density estimation is estimating the probability density function of the population from the sample. This post examines and compares a number of approaches to density estimation.
Research Guide for Video Frame Interpolation with Deep Learning
KDnuggets
OCTOBER 15, 2019
In this research guide, we’ll look at deep learning papers aimed at synthesizing video frames within an existing video.
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
Probability Learning I: Bayes’ Theorem
KDnuggets
OCTOBER 16, 2019
Learn about one of the fundamental theorems of probability with an easy everyday example.
Automated Data Governance 101
KDnuggets
OCTOBER 15, 2019
The way we control our data isn’t working. Data is as vulnerable as ever. Download this white paper, which outlines lessons about how data science and governance programs can, if implemented properly, reinforce each other’s objective.
There is No Such Thing as a Free Lunch: Part 2 – Building an intelligent Digital Assistant
KDnuggets
OCTOBER 18, 2019
In this second part we want to outline our own experience building an AI application and reflect on why we chose not to utilise deep learning as the core technology used.
Top 7 Things I Learned on my Data Science Masters
KDnuggets
OCTOBER 15, 2019
Even though I’m still in my studies, here’s a list of the most important things I’ve learned (as of yet).
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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