IBM Big Data Hub

SEPTEMBER 7, 2022

Until recently, there haven’t been undergrad or postgrad courses that produced the data leaders of the future, so data leaders learned to look to each other for support and knowledge. We’re constantly evolving to cover new questions and pain points. In reflecting on our conversations from this year’s program, here are five key takeaways: 1.

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O'Reilly on Data

FEBRUARY 18, 2020

Current signals from usage on the O’Reilly online learning platform reveal: Python is preeminent. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Security is surging.

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CIO Business Intelligence

OCTOBER 27, 2023

The courses are designed to be completed in succession, starting with the Apple Device Support course, which focuses on the skills and expertise you’ll need as a help desk professional, technical coordinator, or service provider for an organization that relies on Apple hardware and software.

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CIO Business Intelligence

APRIL 10, 2024

And it plans to add more than 1,080 new soft skills-related offerings this year, including live training courses, video courses, and books. And it plans to add more than 1,080 new soft skills-related offerings this year, including live training courses, video courses, and books. “IT

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DataKitchen

MAY 10, 2021

Remember your first data science courses? This has a tremendous impact on data organizations in terms of restoring credibility, improving productivity and agility by eliminating unplanned work, and perhaps equally important, putting the fun back into data science and engineering. Data errors also affect careers.

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AWS Big Data

JUNE 29, 2023

In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities. Kinesis Data Analytics Studio uses Apache Zeppelin as the notebook, and uses Apache Flink as the stream processing engine.

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Domino Data Lab

AUGUST 8, 2019

Imagine being amongst a bunch of people who are expert in quantum physics, tissue engineering, archeology, birdsong linguistics, climate change, vat-grown beef, CRISPR, building Mars rovers, and so on. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. Ever heard of it before? What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. They’ve become “embedded institutions” in engineering. Unfortunately, ML applications introduce twists that are not matters for engineering to resolve. Let’s look through some antidotes.

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AWS Big Data

FEBRUARY 13, 2023

This is a guest post by Miguel Chin, Data Engineering Manager at OLX Group and David Greenshtein, Specialist Solutions Architect for Analytics, AWS. OLX Group is one of the world’s fastest-growing networks of online marketplaces, operating in over 30 countries around the world. These analyses are often done using data warehouses.

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Edwin Chen

JULY 30, 2012

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. I love investigating social networks , so I dug around a little, and since I did well enough to score one of the coveted prizes, I’ll share my approach here. It’s pretty fun.). Distributions.

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Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data. What VCs want from startups.

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Data Lake Big Data Sales Data-driven 80

Domino Data Lab

JULY 9, 2019

Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. He covered examples of how his team addressed business problems with descriptive, predictive, and prescriptive ML solutions. This post provides distilled highlights, a transcript, and a video of the session. Transcript.

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Domino Data Lab

AUGUST 22, 2019

The natural language processing models you build in this chapter will incorporate neural network layers we’ve applied already: dense layers from Chapters 5 through 9 [ in the book ], and convolutional layers from Chapter 10 [ in the book ]. For example, in this chapter, we’ll build a model to classify movie reviews as positive or negative.

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Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. You can of course listen and watch the webinar from this link. Do you recommend a consulting approach strategy rather than a CDO strategy? This was in fact an overview of a piece of research we update every year.

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