Sat.Jan 18, 2020 - Fri.Jan 24, 2020

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I wanna be a data scientist, but… how?

KDnuggets

It’s easy to say "I wanna be a data scientist," but. where do you start? How much time is needed to be desired by companies? Do you need a Master’s degree? Do you need to know every mathematical concept ever derived? The journey might be long, but follow this plan to help you keep moving forward toward your career goal.

Data 148
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Replatforming Production Dataflows

Data Engineering Podcast

Summary Building a reliable data platform is a neverending task. Even if you have a process that works for you and your business there can be unexpected events that require a change in your platform architecture. In this episode the head of data for Mayvenn shares their experience migrating an existing set of streaming workflows onto the Ascend platform after their previous vendor was acquired and changed their offering.

Kafka 100
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Infinite Storage in Confluent Platform

Confluent

A preview of Confluent Tiered Storage is now available in Confluent Platform 5.4, enabling operators to add an additional storage tier for data in Confluent Platform. If you’re curious about […].

Data 123
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Analytics in the Hybrid Cloud – An Architect’s Perspective

Teradata

The hybrid cloud is not just a consideration, but for many of our customers, already a reality. Read more to learn best practices when considering a hybrid or multi-cloud environment.

Cloud 87
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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The Data Science Interview Study Guide

KDnuggets

Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.

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RocksDB Is Eating the Database World

Rockset

A Brief History of Distributed Databases The era of Web 2.0 brought with it a renewed interest in database design. While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

More Trending

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Analytics in the Hybrid Cloud – An Architect’s Perspective

Teradata

The hybrid cloud is not just a consideration, but for many of our customers, already a reality. Read more to learn best practices when considering a hybrid or multi-cloud environment.

Cloud 64
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Top 5 AI trends for 2020

KDnuggets

We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?

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Python String Processing Primer

KDnuggets

Pursuing a text analytics path but don't know where to start? Try this string processing primer to first gain an understanding of using Python to manipulate and process strings at a basic level.

Python 114
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What Do Data Scientists in Europe Do & How Much Are They Worth?

KDnuggets

Interested in knowing what a data scientist is worth in Europe, and what one does? Read this overview of a recent survey on the topic and gain some insight into the European data science professional job market.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem

KDnuggets

The new algorithm takes a novel approach to neural architecture search.

Algorithm 149
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Artificial Intelligence Books to Read in 2020

KDnuggets

Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!

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The 5 Most Useful Techniques to Handle Imbalanced Datasets

KDnuggets

This post is about explaining the various techniques you can use to handle imbalanced datasets.

Datasets 129
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Explaining Black Box Models: Ensemble and Deep Learning Using LIME and SHAP

KDnuggets

This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Top KDnuggets tweets, Jan 15-21: My Pandas Cheat Sheet; 5 Key Reasons Why Data Scientists Are Quitting their Jobs

KDnuggets

5 Key Reasons Why Data Scientists Are Quitting their Jobs; My Pandas Cheat Sheet; Google Colab: Jupyter Lab on steroids (perfect for Deep Learning); Top 5 Must-have Data Science Skills.

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How to Get Started With Algorithmic Finance

KDnuggets

Algorithmic finance has been around for decades as a money-making tool, and it's not magic. Learn about some practical strategies along with and introduction to code you can use to get started.

Finance 66
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Big Data. Big Impact

KDnuggets

Ramapo College’s Master of Science in Data Science program will teach you to collect, synthesize, and analyze big data, become skilled in programming languages like R and Python, and leverage advanced tools to meet the demands of modern business and science.

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How to reinvent your career with computer science

KDnuggets

There is great news for anyone looking to make a career switch into computer science. So, what does it take to make the leap? Check out three top tips for budding computer scientists, as well as the Computer Science online MSc from the University of Bath.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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PAW Healthcare Sneak Peek Agenda | Munich, 11-12 May

KDnuggets

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

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Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained

KDnuggets

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.

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We Created a Lazy AI

KDnuggets

This article is an overview of how to design and implement reinforcement learning for the real world.

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Is Your Enterprise Being Disrupted by Consumerization?

Teradata

With the consumer expectations and experience bleeding into all aspects of business and life, how is consumerization translating to the enterprise? Read more.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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NLP Year in Review — 2019

KDnuggets

comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP).

Process 69
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Random Forest — A Powerful Ensemble Learning Algorithm

KDnuggets

The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier.

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KDnuggets™ News 20:n03, Jan 22: I wanna be a data scientist, but… how? Top 10 Technology Trends for 2020

KDnuggets

If you want to be a Data Scientist, but not sure how to start - there is a perfect blog for you; Baidu top 10 technology trends for 2020; Math for programmers!; The future of Machine Learning; and more.

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Learn from Industry Leaders Facebook, Walmart, Lyft, eBay & More

KDnuggets

The agenda for Deep Learning World 2020 in Las Vegas, May 31-Jun 4, has been released. Use code KDNUGGETS for a 15% discount on your ticket.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Featuring Apache Kafka in the Netflix Studio and Finance World

Confluent

Netflix spent an estimated $15 billion to produce world-class original content in 2019. When stakes are so high, it is paramount to enable our business with critical insights that help […].

Finance 27