KDnuggets

JANUARY 3, 2023

Matplotlib is the most famous and commonly used plotting library in Python. It allows you to create clear and interactive visualizations that make your data easier to understand and your results more concrete.

Python 398

Python Data Science 398

Analytics Vidhya

JANUARY 2, 2023

This article was published as a part of the Data Science Blogathon. Introduction You’re probably here because you’re confused about the difference between backpropagation and gradient descent. And you’re not the only one. Many beginners are often confused about the difference between gradient descent and backpropagation. This confusion arises because of how interconnected backpropagation and […].

Data Science 328

Data Science Analytics Analytics Algorithm 328

Dataconomy

JANUARY 5, 2023

In the current digital landscape, companies are increasingly reliant on technology and data to guide their operations and inform their decision-making processes, thus CRM (Customer Relationship Management) data is pretty important. Among various forms of data, customer relationship management data is particularly important in helping businesses comprehend and serve their clients.

Data Science 248

Data Science 248

Machine Learning Mastery

JANUARY 6, 2023

Last Updated on January 9, 2023 Softmax classifier is a type of classifier in supervised learning. It is an important building block in deep learning networks and the most popular choice among deep learning practitioners. Softmax classifier is suitable for multiclass classification, which outputs the probability for each of the classes. This tutorial will teach […] The post Building a Softmax Classifier for Images in PyTorch appeared first on MachineLearningMastery.com.

Supervised Learning 215

Supervised Learning Deep Learning Deep Learning 215

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

KDnuggets

JANUARY 4, 2023

Check out this solid plan for learning Data Science, Machine Learning, and Deep Learning. The entire plan is currently available at no cost to KDnuggets readers.

Deep Learning 372

Deep Learning Deep Learning Machine Learning Machine Learning 372

Analytics Vidhya

JANUARY 2, 2023

Introduction You must have noticed the personalization happening in the digital world, from personalized Youtube videos to canny ad recommendations on Instagram. While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […]. The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya.

Data Engineering 292

Data Engineering Data Engineer Data Engineering Data Engineering 292

Machine Learning Mastery

JANUARY 3, 2023

Last Updated on January 9, 2023 Transformer is a recent breakthrough in neural machine translation. Natural languages are complicated. A word in one language can be translated into multiple words in another, depending on the context. But what exactly a context is, and how you can teach the computer to understand the context was a […] The post Building Transformer Models with Attention Crash Course.

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KDnuggets

JANUARY 5, 2023

Register now for this webinar on Jan. 12 to learn how to simplify the process of using scientific literature within your AI, machine learning, and text mining projects.

Machine Learning 271

Machine Learning Machine Learning AI AI 271

Analytics Vidhya

JANUARY 5, 2023

This article was published as a part of the Data Science Blogathon. Introduction Python is a popular and influential programming language used in various applications, from web development to data wrangling and scientific computing. One of the critical reasons for Python’s popularity is the wealth of libraries and frameworks available for use, which provides a […].

Python 291

Python Data Wrangling Data Science Analytics 291

Dataconomy

JANUARY 3, 2023

AI adoption has become a main focus in the technology business and will not lose this position for a while according to recent artificial intelligence researches and reports. Although there are currently many people enjoying the benefits of being an early adopters of AI, this won’t last forever. Now more than ever, people are curious […].

Artificial Intelligence 230

Artificial Intelligence Artificial Intelligence AI AI 230

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Adrian Bridgwater for Forbes

JANUARY 5, 2023

If we had to write the ‘what low-code did next’ story, we would be putting the rise of process automation & more intelligently orchestrated internal application functions in there as the lead character. This is the manifesto that Appian has used to explain and validate its new data infrastructure.

Big Data 130

Big Data Big Data 130

KDnuggets

JANUARY 4, 2023

Understanding the concepts behind the micro average, macro average, and weighted average of F1 score in multi-class classification with simple illustrations.

Machine Learning 276

Machine Learning Machine Learning 276

Analytics Vidhya

JANUARY 2, 2023

Introduction Delta Lake is an open-source storage layer that brings data lakes to the world of Apache Spark. Delta Lakes provides an ACID transaction–compliant and cloud–native platform on top of cloud object stores such as Amazon S3, Microsoft Azure Storage, and Google Cloud Storage. It enables organizations to quickly and reliably build data lakes on cloud […].

Data Lakes 285

Data Lakes Azure Analytics Analytics 285

Dataconomy

JANUARY 3, 2023

IoT protocols are the set of rules and guidelines that govern communication between devices in the Internet of Things (IoT), enabling the creation of smart and connected systems that can sense, collect, and exchange data in real-time. The Internet of Things is a rapidly growing technology that is transforming the way we live and work. […].

Internet of Things 226

Internet of Things 226

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

IBM Data Science in Practice

JANUARY 4, 2023

Many enterprises strive for a 360° view on their customer data. This view allows them to understand their customers’ needs and history during every interaction. Traditionally, customer data has been scattered and siloed across organizations. With a data fabric and the customer 360 approach, enterprises can connect the data and achieve the 360° view they are looking for.

Algorithm 130

Algorithm Database Data Quality Data Engineering 130

KDnuggets

JANUARY 5, 2023

Data merge is a common data processing activity. Learn how Pandas provide various ways to merge our data.

Data Science 299

Data Science 299

Analytics Vidhya

JANUARY 1, 2023

Introduction With the changing world, it is important for companies to transform accordingly. One of the most widely used technologies used these days is cloud computing. The adoption of cloud computing has been increasing rapidly. Either company has already adopted it or is moving towards adopting it. The advantages that cloud computing provides are immaculate. […].

Cloud Computing 283

Cloud Computing Analytics Analytics AWS 283

Dataconomy

JANUARY 6, 2023

Data redundancy is a crucial tool in ensuring the reliability and availability of important data. In a world where data is constantly being generated and stored, the importance of data protection cannot be overstated. With the increasing reliance on technology, the potential for data loss or corruption is always present. That’s where data redundancy comes […].

Data Science 219

Data Science 219

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.

Data Science

Adrian Bridgwater for Forbes

JANUARY 4, 2023

Progress has a vision for application development & infrastructure software, managed through digitally encoded policies and controls. If we started that journey with information management at the heart of the software kernel, then we need to go one tier deeper & add metadata management.

Big Data 130

Big Data Big Data 130

KDnuggets

JANUARY 2, 2023

This рареr attempts to exploit primarily twо flaws in the Infо-GАN рареr while retаining the оther good qualities improvements.

Machine Learning 271

Machine Learning Machine Learning 271

Analytics Vidhya

JANUARY 1, 2023

This article was published as a part of the Data Science Blogathon. convenient Introduction AWS Lambda is a serverless computing service that lets you run code in response to events while having the underlying compute resources managed for you automatically. You may use Lambda to execute code for almost any kind of application or backend […]. The post AWS Lambda: A Convenient Way to Send Emails and Analyze Logs appeared first on Analytics Vidhya.

AWS 273

AWS Data Science Analytics Analytics 273

Dataconomy

JANUARY 5, 2023

Unfortunately, it took only five days after the end of 2022 for the “Amazon layoffs 2023” headline to surface. We already know that great tech expansion took a hammering with a layoff spree in 2022 and it seems like tech layoffs will continue in 2023. Amazon CEO Andy Jassy has stated that the corporation will […].

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Machine Learning Research at Apple

JANUARY 3, 2023

This paper was accepted at the "Human in the Loop Learning Workshop" at NeurIPS 2022. Specification of reward functions for Reinforcement Learning is a challenging task which is bypassed by the framework of Preference Based Learning methods which instead learn from preference labels on trajectory queries. These methods, however, still suffer from high requirements of preference labels and often would still achieve low reward recovery.

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KDnuggets

JANUARY 6, 2023

Learn the syntax and uses of the lambda function, which is an alternative to the regular Python function.

Python 291

Python 291

Analytics Vidhya

JANUARY 4, 2023

This article was published as a part of the Data Science Blogathon. Introduction As a data scientist, in many cases of fraud detection in the bank for a transaction, Smart meters anomaly detection, how will you identify anomalies or outliers? A data point significantly off the average and, depending on the goal, either removing or […]. The post Learning Different Techniques of Anomaly Detection appeared first on Analytics Vidhya.

Data Scientist 274

Data Scientist Data Science Analytics Analytics 274

Adrian Bridgwater for Forbes

JANUARY 1, 2023

The current data-democracy mission is data value and everyone is being issued with combat fatigues, some powerful weapons and a set of field provisions. Now then, who brought the map and is the safety catch on?

Big Data 130

Big Data Big Data 130

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

Machine Learning Research at Apple

JANUARY 3, 2023

State-of-the-art automatic augmentation methods (e.g., AutoAugment and RandAugment) for visual recognition tasks diversify training data using a large set of augmentation operations. The range of magnitudes of many augmentation operations (e.g., brightness and contrast) is continuous. Therefore, to make search computationally tractable, these methods use fixed and manually-defined magnitude ranges for each operation, which may lead to sub-optimal policies.

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KDnuggets

JANUARY 3, 2023

Delve deeper into the concept of multi-armed bandits, reinforcement learning, and exploration vs. exploitation dilemma.

Machine Learning 259

Machine Learning Machine Learning 259

Analytics Vidhya

JANUARY 1, 2023

Introduction What is an API? In simple terms, API is a messenger; let’s understand this with some examples. Let’s say you are hungry and you need to cook something at home. If you want to make noodles, you just take the ingredients out of the cupboard, fire up the stove, and make it yourself. This […]. The post Introduction to Amazon API Gateway using AWS Lambda appeared first on Analytics Vidhya.

AWS 270

AWS Analytics Analytics Cloud Computing 270

Machine Learning Mastery

DECEMBER 31, 2022

Last Updated on January 1, 2023 While a logistic regression classifier is used for binary class classification, softmax classifier is a supervised learning algorithm which is mostly used when multiple classes are involved. Softmax classifier works by assigning a probability distribution to each class. The probability distribution of the class with the highest probability is […] The post Introduction to Softmax Classifier in PyTorch appeared first on MachineLearningMastery.com.

Supervised Learning 130

Supervised Learning Algorithm Deep Learning Deep Learning 130

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.