Cloudera
NOVEMBER 2, 2021
Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Doing so and truly understanding the data is more important than ever, especially when data privacy regulations are tightening.
Analytics Vidhya
NOVEMBER 2, 2021
This article was published as a part of the Data Science Blogathon. Introduction You’ve probably heard of TensorFlow if you’re a machine learning student. It has become an industry norm and is one of the most common tools for machine learning and deep learning experts. TensorFlow is a free and open-source library for creating machine […].
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DataKitchen
NOVEMBER 2, 2021
The post Battle for Data Pros Heats Up as Burnout Builds first appeared on DataKitchen.
Analytics Vidhya
NOVEMBER 2, 2021
This article was published as a part of the Data Science Blogathon. Introduction to Matplotlib Matplotlib is a widely used data visualization library in python. This article illustrates how to display, modify and save an image using the ‘matplotlib’ library. We will see how to use the ‘image’ module as it makes working with images […]. The post Plotting Images Using Matplotlib Library in Python appeared first on Analytics Vidhya.
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.
DataKitchen
NOVEMBER 2, 2021
data.world's Bryon Jacob & DataKitchen's Chris Bergh discuss why Data Engineers are burnt out & how data teams can fix & prevent burnout with DataOps. The post 10 Tips to Overcome Data Engineer Burnout first appeared on DataKitchen.
Analytics Vidhya
NOVEMBER 2, 2021
This article was published as a part of the Data Science Blogathon. Introduction to PCA Hello Learners, Welcome! In this article, we are going to learn about PCA and its implementation on the MNIST dataset. the full form of PCA is Principal Component Analysis. in this article, we are going to implement the PCA technic […]. The post PCA(Principal Component Analysis) on MNIST Dataset appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
NOVEMBER 2, 2021
This article was published as a part of the Data Science Blogathon. Introduction There are multiple ways that one can take to either minimize or maximize any function so that the optimal value can be found out. You can find several optimisation solutions on the internet but in the end, no one solution is the […]. The post Implementing Particle Swarm Optimization using Python appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 2, 2021
Recently I decided to take the time to better understand the Python packaging ecosystem and create a project boilerplate template as an improvement over copying a directory tree and doing find and replace.
Juice Analytics
NOVEMBER 2, 2021
How to get started with data storytelling? For the beginner — and even for the experienced data analyst or data scientist — data storytelling can be a vague, disorientating concept. This question posted on Reddit is a good example of the interest and confusion about the topic: …which was then followed by this pure-gold response: I hope to make data storytelling a bit more accessible by laying out some of the basic concepts and skills required.
TDAN
NOVEMBER 2, 2021
What is Data Governance and How Do You Measure Success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and growth strategy. But what […].
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.
KDnuggets
NOVEMBER 2, 2021
Machine Learning vs NLP vs Data Engineer vs Data Scientist, and what it means to be in each role.
Dataiku
NOVEMBER 2, 2021
First, who is the Lab? The Lab is a key part of Dataiku’s research and development processes. From research in causal inference, dataset shift, and active learning to hands-on projects with data scientists and engineers, the Lab is busy at work establishing eminence in the machine learning community as well as helping Dataiku establish itself at the forefront of the field.
DataRobot
NOVEMBER 2, 2021
At this year’s Microsoft Ignite event, DataRobot is thrilled to join forces with Microsoft to bring organizations better AI-enabled experiences that deliver world-class customer experience and impactful business results. AI has the power to reshape and revolutionize every industry and every business service. But, without the right platform, many organizations struggle to realize the full potential of AI.
Domino Data Lab
NOVEMBER 2, 2021
Training a machine learning (ML) model is a process in which a machine learning algorithm is fed with training data from which it can learn. ML models can be trained to benefit businesses in numerous ways, by quickly processing huge volumes of data, identifying patterns, finding anomalies or testing correlations that would be difficult for a human to do unaided.
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.
TDAN
NOVEMBER 2, 2021
Data is the new oil. It’s cheaper, more plentiful, and just as valuable. However, it’s also one of the most challenging aspects of business. As customer data becomes increasingly important to your success, you need to manage it well. As a business, your most valuable asset is customer data. Data can be used to identify […].
KDnuggets
NOVEMBER 2, 2021
Want three reasons to avoid the cloud and host your own analytics platform? More data, more control, more secure.
TDAN
NOVEMBER 2, 2021
Modern business is very dependent on data and knowing how to effectively manage this data and get the most from it is crucial for success in the digital age. Data has effectively become the lifeblood of most businesses, but this data is only useful when it is properly catalogued and accessible. On top of this, […].
DataRobot
NOVEMBER 2, 2021
For the better part of a decade, state and local governments have leveraged Robotic Process Automation (RPA) to automate manual, time-consuming, and mundane tasks and processes. RPA has played a vital role in increasing operational efficiency. For many states, RPA has served as a foundational piece of innovation in an age of digital transformation. But RPA merely scratches the surface.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
TDAN
NOVEMBER 2, 2021
For the past two years, COVID-19 has had a significant effect on our lives. and it has also dramatically affected the world. Its spread has forced healthcare providers to step up their efforts and do things that seemed impossible before. During the crisis, governments and private organizations were forced to invest resources into the research […].
Smart Data Collective
NOVEMBER 2, 2021
Data analytics technology has become an integral part of organizational management. This is a topic that MQ Shabbir addressed in a study that was published in Springer Open last year. There are a lot of different ways that big data can help companies streamline certain processes and resolve various challenges that they face. The advent of data visualization has made it easier than ever.
TDAN
NOVEMBER 2, 2021
We have learned from our recent articles : Demystifying Edge Computing and Types of and How to use Edge Computing – how Edge Computing architecture, with its capabilities of distributed computing, is addressing the rising scale and ubiquity of data. The continuous shifting nature of the center of data’s gravity between the decentralized edge and […].
Depict Data Studio
NOVEMBER 2, 2021
Andrew Forsman is a Depict Data Studio student and self-described “data viz nerd” who has over 10 years of experience helping organizations plan for, execute, and learn from research and evaluations. They’re here this week sharing time-saving tips on using a voice command and dictation software called Dragon to help with data viz. Thanks for sharing Andrew!
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
TDAN
NOVEMBER 2, 2021
As proponents of Lean Thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We treat data as inventory, data management as manufacturing, and business output as finished goods. The goal is to go from inventory to finished goods with as little waste, cost, and risk as possible. Anything […].
Jet Global
NOVEMBER 2, 2021
Easy Interface to JD Edwards. Working Smarter. In any industry, the old adage “work smarter, not harder,” can be beneficial to your overall performance. Improving productivity and efficiency while lowering stress and making your tasks and responsibilities easier is the goal to working smart. This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting on its best day.
Jet Global
NOVEMBER 2, 2021
What is a Supply Chain KPI? A supply chain key performance indicator (KPI) is a quantitative measure that evaluates the effectiveness and performance of a company’s supply chain. A supply chain is the relationship between a company and its providers through which they create and deliver a product to customers. This network consists of manufacturers, vendors, warehouses, transportation, distribution centers, and retailers.
Jet Global
NOVEMBER 2, 2021
What are University KPIs? A university key performance indicator (KPI) is a performance analyzer used to evaluate the competition between universities. They are often used to get a bird’s eye view of performance and are also known as metrics. University KPIs are the tools that many universities use to measure their success and progress towards their goals.
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