Analytics Vidhya

JANUARY 28, 2020

Overview Understand the structure of a Machine Learning Pipeline Build an end-to-end ML pipeline on a real-world data Train a Random Forest Regressor for. The post Build your first Machine Learning pipeline using scikit-learn! appeared first on Analytics Vidhya.

Machine Learning 397

Machine Learning Analytics 397

Corinium

JANUARY 28, 2020

Coffee, a great medium for engaging in casual conversation with friends and associates in your network. Meeting up with a James the other day, James is a Chartered Accountant, we got to talking about his field of work.

Analytics 195

Analytics 195

datapine

JANUARY 28, 2020

The ability to monitor, visualize, and analyze relevant data gives today’s businesses, across a host of sectors, the power to understand their prospects, make informed decisions, increase efficiencies, and work towards a set of rewarding long term goals. With so much data available to today’s brands and businesses, to extract every drop of value from an ever-growing raft of digital insights and set the kind of KPIs that will drive your venture forward, having an easy to use, a visually-stunning

Dashboards 199

Dashboards KPI Cost-Benefit Metrics 199

MLWhiz

JANUARY 28, 2020

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are crucial all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions.

Data Science 85

Data Science Testing IT 85

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.

Experimentation

IBM Big Data Hub

JANUARY 28, 2020

Any financial services firm using AI must revisit its approach to model risk management. The reason is that AI models are evolving faster than the rules-based models that were standard previously. If AI models perform inadequately, major operational losses can grow quickly. Watson OpenScale helps organizations validate and monitor AI models to enhance compliance with regulations, provide fair and explainable outcomes, and mitigate business risk.

Risk 83

Risk Modeling Big Data Management 83

Andrew White

JANUARY 28, 2020

After reading A Random Search for Excellence (2009), a research paper from Deloitte Consulting, I was both fascinated, depressed, and intrigued. The research paper surmises that management books extolling effective leadership models and best practices are next to worthless on explaining firm success. After doing extensive analysis of thousands of firms over many years, they find insufficient reasons to explain why one firm is successful over another.

IT 72

IT Consulting Modeling Measurement 72

3AG Systems

JANUARY 28, 2020

Image source: BuckandLibby Wait—data science and data engineering aren’t the same? We get this question a lot, both from data-heavy organizations and in casual conversation. And it makes some sense, until you start replacing “data” with other words. No one would confuse a chemist (someone with chemistry degrees) for a chemical engineer, or, say, an electrical engineer for either a physicist or an electrician!

Data Science 52

Data Science Data-driven Data Governance Management 52

Jet Global

JANUARY 28, 2020

Is your organization ready for self-service reporting? This is a question a lot of companies are asking, and a recent CIO survey reveals why. Gartner reported in 2018 that information executives believed the output and overall value of self-service analytics would exceed that of professional data scientists by 2019. This shift has game-changing implications.

Reporting 49

Reporting Data-driven Software Risk 49

Nutanix

JANUARY 28, 2020

It’s been a long-running joke in the IT industry that every year is going to be “the year of VDI,” the year when IT organizations finally recognize the full value of virtual desktops and applications and adoption accelerates.

IT 49

IT 49

Nutanix

JANUARY 28, 2020

It’s been a long-running joke in the IT industry that every year is going to be “the year of VDI,” the year when IT organizations finally recognize the full value of virtual desktops and applications and adoption accelerates.

IT 20

IT 20

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.

Management

Nutanix

JANUARY 28, 2020

It’s been a long-running joke in the IT industry that every year is going to be “the year of VDI,” the year when IT organizations finally recognize the full value of virtual desktops and applications and adoption accelerates.

IT 20

IT 20