Thu.Aug 29, 2019

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Types of Bias in Machine Learning

KDnuggets

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

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Software Deployment Strategy: How to Get It Right the First Time

erwin

Big or Small, Enterprise Architecture Is a Key Part of a Successful Software Deployment Strategy. A good software deployment strategy could be the difference between multiple and costly false starts and a smooth implementation. Considering the rate at which emerging technologies are introduced, it’s becoming more important than ever for organizations to have a software deployment strategy in place.

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Deep Learning Next Step: Transformers and Attention Mechanism

KDnuggets

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

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How Big Data Leads To Improvements In Company Letterhead Designs

Smart Data Collective

Big data has been at the forefront of the design industry for years. A number of companies have written detailed articles on the utilization of data visualization with graphics. However, big data can be effective in more rudimentary designs as well. There are a lot of effective ways to use big data to make better designs. Many modern design tools rely on sophisticated machine learning algorithms.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

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4 Tips for Advanced Feature Engineering and Preprocessing

KDnuggets

Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.

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Navigating The Big Data ICT Training Process In The UK

Smart Data Collective

Are you considering a career in big data ? There are a lot of great opportunities in the UK. You can find a lot of potential job openings, but you need to navigate the ICT training process to qualify for a work visa. Get ICT Training to Thrive in a Career in Big Data. Data is a big deal. Many of the world’s biggest companies – like Amazon and Google have harnessed data to help them build colossal businesses that dominate their sectors.

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6 Data-Driven Marketing Strategies That Are Revolutionizing Sales

Smart Data Collective

The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever. In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies.

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Insight Boston Alumni: Where are they now?

Insight

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows. Since Insight’s launch in Boston, we’ve built up a network of over 300 local alumni, at companies including Wayfair, CVS Health, BCG, Vertex, and many more.

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Your AWS Cloud Journey: Deploying Palo Alto HA in AWS

CDW Research Hub

If you have a need for HA in AWS and you follow the tech docs on the Palo Alto site, they can be a bit confusing. There are two methods, one being the Palo Alto proper and the other using AWS native ELB. The Palo Alto VM-Series firewall on AWS supports active/passive HA only. If it is deployed with Amazon Elastic Load Balancing (ELB), it does not support HA.

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White Paper – Accelerating Advanced Analytics in an Immature Analytics Culture

Smarten

For organizations that wish to leverage advanced analytics, the first order of business is to evaluate the maturity of the advanced analytical culture within the organization and among its users and decide whether the entire team is ready to take on the task of accurately analyzing business results, and planning and making course corrections on a daily basis.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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Becoming a machine learning practitioner

O'Reilly on Data

The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit. In this episode of the Data Show , I speak with Kesha Williams , technical instructor at A Cloud Guru , a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services.

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Bringing AI Skills to the Classroom

Dataiku

Just in time for the new school year, Dataiku’s latest academic partnership with Teradata University Network (TUN) is set to bring AI tools and skills to the classroom. The program empowers colleges and universities to unlock the full potential of AI by providing Dataiku software and data science resources to faculty and students.

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Deep Reinforcement Learning

Domino Data Lab

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment.

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How to Increase Your Privacy Online

Smart Data Collective

Today’s technology grants us the power to access information at lightning speeds, communicate with anyone in the world, and store and manage our most important files conveniently. The downside to these massive quality of life improvements is that they leave us vulnerable. If we aren’t careful, powerful corporations and nefarious individuals can get access to the data we most wish to keep private, from our browsing history to our credit card numbers.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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The Death of Centralized AI and the Rise of Open AI

KDnuggets

Centralized AI is giving way to more democratic AI systems, which are becoming more and more accessible to data scientists, both through code and through open ecosystems.