Analytics Vidhya
OCTOBER 23, 2019
“If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would. The post You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.
datapine
OCTOBER 23, 2019
In the digital age, great businesses are founded on great insight — the data-driven kind. Without access to valuable business data, regardless of your niche and sector, you’ll merely be shooting in the dark when making key commercial decisions. But data is only valuable if you know how to handle it effectively. With so many digital insights available in our hyper-connected age of information, a professional report tool is the most effective means of collecting, curating, organizing, and analyz
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KDnuggets
OCTOBER 23, 2019
In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.
Andrew White
OCTOBER 23, 2019
A Day in the Life of an Analyst at Gartner IT Symposium XPO 2019 USA – day 2 October 22 2019. Awoke at 6.20am tired. Still not sleeping that well and my Oura ring confirmed it with a drop in sleep score from 90 to 79. Latency (fell asleep too fast) and restfulness are the problem. Need to get to bed a little earlier tonight if I am to get my scores up and feel more refreshed tomorrow morning. 6.50am Mused.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
OCTOBER 23, 2019
The task: train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi dataset.
Octopai
OCTOBER 23, 2019
How do you get from A to B? If you’re at A but you don’t know where B is, you can either wander around at random in the hopes of stumbling upon B, or you can consult a map. The same is true of enterprise data. Modern enterprises find themselves sitting on mountains of data. There’s value locked in that data—knowledge that can drive innovation, market insights, and strategic plans.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CDW Research Hub
OCTOBER 23, 2019
Capital One made world news waves on July 19, 2019, when it was reported they had suffered a security breach that resulted in the loss of 30GB of data. This data loss affected 106 million people in North America and included data submitted on credit card applications from 2005 to early 2019. Lots of digital ink has been written covering this cyberattack, and anyone interested in learning more about how the entire incident played out can find dozens of online sources, including the information po
KDnuggets
OCTOBER 23, 2019
Read useful advice on how to become a good data scientist; see how you can write your 1st neural net in under 30 lines of Keras code; Understand why AI salaries are heading skywards and what skills you need for them; and read about key ideas and methods in anomaly detection.
Jen Stirrup
OCTOBER 23, 2019
I’m an industry advisor to the University of Washington Professional and Continuing Education , and I’ve been pleased to help shape the courses for adults who want to break into careers in data, or who simply want to understand data to help them progress in their current roles. I’m pleased to announce that the University of Washington are running a Foundations of Data Analysis course , starting in January 2020.
KDnuggets
OCTOBER 23, 2019
Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a Bad One; How to Easily Deploy Machine Learning Models Using Flask.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Dataiku
OCTOBER 23, 2019
Financial instruments like options and futures have been around for quite a while, and although they became quite notorious during the 2008 stock market turmoil, they serve a real economic purpose for lots of companies around the world. Before getting into the details on how to use machine learning (more specifically deep learning) for better option pricing, we’ll take a step back and to understand the purpose of options via a concrete example.
KDnuggets
OCTOBER 23, 2019
Samsung’s Tech Day event showcases processor and memory advances for 5G, AI, Cloud and Edge Computing, Automotive, IoT, and more.
Domino Data Lab
OCTOBER 23, 2019
This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data. A complementary Domino project is available. Introduction. Collecting and prepping data are core research tasks. While the most ideal situation is to start a project with clean well-labeled data, the reality is that data scientists spend countless hours on obtaining and prepping data.
BI-Survey
OCTOBER 23, 2019
A s cyber-attacks become increasingly advanced and persistent, and the traditional notion of a security perimeter has all but ceased to exist, organizations are having to rethink their cybersecurity strategies. New real-time security intelligence solutions are combining big data and advanced analytics to correlate security events across multiple data sources, providing early detection of suspicious activities, rich forensic analysis tools and highly automated remediation workflows.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Grooper
OCTOBER 23, 2019
With the increasing value of data and more tools to process and analyze information than ever before, companies with information governance and master data model programs are outpacing their peers. Simply storing information without a detailed road map for how the data can and should be used is not enough. How does data benefit the entire company? What core business processes or outcomes hinge on accurate data?
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