Analytics Vidhya

NOVEMBER 11, 2020

Overview Understand the top 14 must-have skills to be an employable data scientist Have a look at the suggested resources to enhance your understanding. The post 14 Must-Have Skills to Become a Data Scientist (with Resources!) appeared first on Analytics Vidhya.

Analytics 337

Analytics Machine Learning Big Data Visualization 337

Juice Analytics

NOVEMBER 11, 2020

We are makers in our work. Whether designing a marketing campaign, creating a presentation, or building a spreadsheet, information workers spend a lot of time creating stuff. And we want better tools to do all that making. How far have these tools come? In some cases, the complex desktop tools have been replaced by nimble, web-based (and often less feature-rich) options.

Sales 144

Sales Visualization Reporting Marketing 144

Analytics Vidhya

NOVEMBER 11, 2020

This article was published as a part of the Data Science Blogathon. Overview With the demand for big data and machine learning, this article. The post Introduction to Spark MLlib for Big Data and Machine Learning appeared first on Analytics Vidhya.

Machine Learning 337

Machine Learning Big Data Data Science Publishing 337

Timo Elliott

NOVEMBER 11, 2020

I have had several requests from people who want to set up some equipment for professional presentations at virtual events—a home or office studio that enables you to present live as if you were a TV weather person: Here’s a list of most of what I use (with some links, mostly to the French Amazon site where I purchased most of it — I live in Paris).

Software 126

Software IT 126

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

Analytics Vidhya

NOVEMBER 11, 2020

Introduction Photo by Kevin Ku on Unsplash Deep reinforcement learning has a variety of different algorithms that solves many types of complex problems in. The post Baseline for Policy Gradients that All Deep Learning Enthusists Must Know appeared first on Analytics Vidhya.

Deep Learning 232

Deep Learning Analytics 232

Dataiku

NOVEMBER 11, 2020

In our previous article , we gave an in-depth review on how to explain biases in data. The next step in our fairness journey is to dig into how to detect biased machine learning models.

Machine Learning 125

Machine Learning Measurement Modeling 125

CDW Research Hub

NOVEMBER 11, 2020

When someone tells you that “you get what you pay for,” it’s usually because they want to convince you to spend more or because they want to point out that a decision based on price alone won’t get you the best option. What’s implied is that if you spend more, you get better results. But is that really true? Staying ahead of increasing and evolving cybersecurity threats is a continuous effort that requires both a relentless focus on advancing your security posture and an optimized security stack

Optimization 52

Optimization Cost-Benefit Snapshot Testing 52

Smart Data Collective

NOVEMBER 11, 2020

All the way back in the 15 th century, golf emerged on the sports scene and to this day, it remains one the most popular sports worldwide. It has maintained its originality and etiquette, even in its modern form. However, just like other traditional sports and hobbies, it is not immune to changes brought on by new technology. Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans.

Big Data 82

Big Data Scorecard Statistics Cost-Benefit 82

TreehouseTechGroup

NOVEMBER 11, 2020

When it comes to executing digital transformation projects successfully, leading to a profound change in business models and processes to fully leverage the opportunities unlocked by digital technologies, many organizations turn to specialized consultants. Digital transformation consultants help the organization craft a new vision and bring in expertise that is not available within internal teams,… The post Your Checklist to Evaluating Digital Transformation Consulting Firms appeared first

Digital Transformation 52

Digital Transformation Consulting Modeling Technology 52

Data Virtualization

NOVEMBER 11, 2020

Artificial intelligence (AI) and machine learning (ML) are highly advanced technologies, and one could say that they represent the future. In AI/ML systems, applications or machines are set up to learn from new information, and gradually, over time, they acquire.

Machine Learning 52

Machine Learning Technology 52

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

Teradata

NOVEMBER 11, 2020

Learn the prerequisites and configuration required for Vantage with Native Object Store to easily access Azure Blob storage and Azure Data Lake Gen 2.

Data Lake 52

Data Lake 52

Jet Global

NOVEMBER 11, 2020

The extreme market volatility over the past 12 months has likely led to organizations grappling with KPIs that are continuously off track from the forecasts in their financial and tax plans. This is especially true for multinational entities with subsidiaries spread across the world – all of which are likely experiencing different levels of market turmoil, changing government support programs, and shifting tax regimes.

Forecasting 98

Forecasting Finance Marketing Software 98

Smart Data Collective

NOVEMBER 11, 2020

Internet technology has become far more important than ever before. As our dependence on the Internet grows, it is becoming more important than ever to think about web security. The growing number of data leaks that we see each day is a testament of this. The number of exposed records has increased at an alarming rate. In 2018, over 500 million personal records were exposed with data leaks.

Data Processing 131

Data Processing Technology Testing IT 131

Octopai

NOVEMBER 11, 2020

The COVID-19 pandemic has hit most institutions hard around the globe, but one industry in particular that has been impacted is the financial sector. With many people out of work, they are turning to banks for loans and this has resulted in an overload, or flood if you will, of data. What caused the flood of data in finance? One explanation for t his influx is the CARES Act enacted by the Trump administration.

Finance 52

Finance Risk Risk Management Data-driven 52

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.

Testing