Mon.Sep 23, 2019

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DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey

Analytics Vidhya

Introduction TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, such. The post DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey appeared first on Analytics Vidhya.

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How to Become a Data-Driven Organization

Corinium

It might seem obvious that business decisions based on facts and data consistently deliver better results than those based on instinct or intuition. So, it should be no surprise that NewVantage Partners’ Big Data Executive Survey 2018 suggests that 99% of business leaders are trying to make their organizations more data-driven. What might be more surprising to some is that just a third of them are succeeding.

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12 Deep Learning Researchers and Leaders

KDnuggets

Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

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7 capabilities for a successful product information management solution

IBM Big Data Hub

In my last blog post , I explained why businesses need product information management (PIM ). I will now dive deeper into the key factors an organization must take into consideration when evaluating a PIM solution.

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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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A Single Function to Streamline Image Classification with Keras

KDnuggets

We show, step-by-step, how to construct a single, generalized, utility function to pull images automatically from a directory and train a convolutional neural net model.

Modeling 117
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The Top 7 AI Adoption Challenges (& Their Solutions)

Dataiku

AI adoption requires a lot of cross-team engagement and collaboration, but the Return on Investment (ROI) is clear; according to PwC , AI has the potential to contribute $15.7 trillion to the global economy by 2030.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 22)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Carlie Idoine does it again – two weeks in a row at number 1 – and this week with a different note!

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Top Stories, Sep 16-22: Which Data Science Skills are core and which are hot/emerging ones?

KDnuggets

Also: Explore the world of Bioinformatics with Machine Learning; My journey path from a Software Engineer to BI Specialist to a Data Scientist; 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python; 10 Great Python Resources for Aspiring Data Scientists.

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Using the SSIS Term Extraction for Data Exploration

Tim Mitchell

Data exploration is an essential piece of any new ETL (extraction-transformation-load) process. Knowing the structure, type, and even the semantics of data sources can help the ETL developer or architect to make better decisions on data type and length settings, transformation logic, and error handling procedures. Additionally, there are situations in which the exploration of the data is the principal.

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Introducing IceCAPS: Microsoft’s Framework for Advanced Conversation Modeling

KDnuggets

The new open source framework that brings multi-task learning to conversational agents.

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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 5 Pitfalls of Legacy Database Environments

Nutanix

Microsoft SQL Server, Oracle, SAP HANA, PostgreSQL, MySQL are essential components for success but too many are still running on legacy IT infrastructure.

IT 20
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REST API Testing Strategy: What Exactly Should You Test?

Sisense

Blog. The API layer of any application is one of the most crucial software components. It is the channel which connects client to server (or one microservice to another), drives business processes, and provides the services which give value to users. A customer-facing public API that is exposed to end-users becomes a product in itself. If it breaks, it puts at risk, not just a single application, but an entire chain of business processes built around it.

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