Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Overview Deep learning is a subset of Machine Learning dealing with different neural networks with three or more layers. There are different deep neural networks that work best on many different real-world applications and research and development are still going on. The comprehensive guide […].

Optimization 357

Optimization Deep Learning Machine Learning Data Science 357

Dataiku

SEPTEMBER 29, 2021

We launched the Dataiku Frontrunner Awards to celebrate the data science and AI builders who are doing the nitty gritty work to drive the field forward, day in and day out.

Data Science 105

Data Science 105

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon In this blog, we’ll go over everything you need to know about Logistic Regression to get started and build a model in Python. If you’re new to machine learning and have never built a model before, don’t worry; after reading this, I’m confident you’ll […].

Modeling 315

Modeling Machine Learning Data Science Publishing 315

Jedox

SEPTEMBER 29, 2021

Do you remember when a scanner, printer, copier, and fax machine used to all be separate devices? While that wouldn’t make much sense these days, think about revenue planning, data, and processes. Does it make sense to have a complete separation between your company goals, sales reps targets, and compensation models? In this blog post, we’ll look at how you connect the dots between Sales Performance Management and xP&A.

Sales 96

Sales Management Forecasting Risk 96

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

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, we will build a random forest classifier(RFClassifier) model to detect breast cancer using this dataset from Kaggle. We will then apply some of the popular hyperparameter tuning techniques to this basic model in order to arrive at the optimal […]. The post A Hands-On Discussion on Hyperparameter Optimization Techniques appeared first on Analytics Vidhya.

Optimization 312

Optimization Data Science Publishing Modeling 312

Cloudera

SEPTEMBER 29, 2021

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. Forced to adapt to changes in the business landscape and customer behavior, businesses have adopted more digital tools and technologies to drive innovation and increase resilience. . While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as

Digital Transformation 80

Digital Transformation Data Governance Data-driven Machine Learning 80

Smart Data Collective

SEPTEMBER 29, 2021

Analytics has become very important in the field of marketing. A growing number of businesses are finding new analytics tools to streamline their marketing efforts in a variety of ways. A lot of analytics tools are focused around improving social media marketing. However, analytics technology can be just as valuable when it comes to search engine marketing as well.

Analytics 77

Analytics Marketing Optimization Data-driven 77

Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction The first thing to do when developing a model based on natural language processing is to learn how to parse the texts of user queries and find the entities of the working model in them. The entities like geo, date, money, etc. can […]. The post Search by Synonyms In Any Text Using NLP!

Data Science 271

Data Science Publishing Modeling Analytics 271

Cloudera

SEPTEMBER 29, 2021

by Pedro Pereira. The digital race is on. To pull ahead of the pack, a company needs to know what to do with its data. Without a data-driven strategy, you’re bound to lose ground to competitors who apply their data to operational improvements, product development, go-to-market strategies, and the customer experience. It isn’t enough to collect, interpret, and act on the data.

Data-driven 76

Data-driven Data Collection Strategy Enterprise 76

CDW Research Hub

SEPTEMBER 29, 2021

Leveraging cloud computing provides a strategic opportunity for many organizations and IT teams to deliver access everywhere, reduce costs, improve efficiency, and speed innovation. But the same ease of scale for applications and endpoints in the cloud also creates challenges. Controlling, maintaining and securing your organization’s cloud endpoints can be foggy without the right level of visibility.

IoT 64

IoT Cost-Benefit Forecasting Enterprise 64

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

erwin

SEPTEMBER 29, 2021

The ability to make rapid business decisions to remain competitive hinges on data – access to it and the means to derive useful insights from it. While that goal sounds straightforward, modern enterprises are facing challenges in achieving it because so much data is inaccessible, poorly understood or completely unknown. Meanwhile, every critical digital transformation initiative – like cloud migration, model-driven DevOps, sensitive data protection and application modernization – has data at its

Digital Transformation 52

Digital Transformation Data Governance Cost-Benefit Data-driven 52

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. As the economic landscape rapidly changes, the roles of CFOs and Finance leaders have transformed into those of strategists and innovators. More than ever before, businesspeople rely on their Finance leaders to drive strategic initiatives and business growth, not just report the numbers, to help manage global risk and operations and better serve customers.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Alation

SEPTEMBER 29, 2021

It’s been one year since we’ve started publishing the Alation State of Data Culture report, and uncertainty still remains the only sure thing. Inflation and the Delta variant are causing chaos, while the chip shortage and working from home seem to have no end. Yet, through it all, organizations that rely on, and invest in, building a data culture have consistently outperformed those who don’t.

Reporting 69

Reporting Uncertainty Data-driven Data Governance 69

Jet Global

SEPTEMBER 29, 2021

At the close of every month and every quarter, private equity firms face the challenge to develop consolidated reports that bring together information from multiple companies within their portfolios. That means combining financial statements produced by different organizations, often with different ERP systems and mismatched charts of accounts. It’s a tedious process of fitting square pegs into round holes, harmonizing information from multiple companies to fit into a single, unified reporting f

Recreation/Entertainment 52

Recreation/Entertainment Reporting Management Finance 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