Top 10 Unsupervised ML Models to Learn in the Year
2023

Top unsupervised ML models in 2023 The top unsupervised ML models to learn in 2023 help find patterns and make decisions based on input data

 

Top 10 Github Repositories That Will Teach You Python in
2023

Top-10-Github-repositories-that-will-teach-you-python-in-2023 The article lists some of the Github repositories that will teach you Python

The popularity of…

 


Data Science Funding Opportunities

NIEHS intramural scientists have defined descriptive terms of particular relevance to their own research, and have ranked those terms accordingly. This search feature obtains best-matches with the terms you choose, and shows an overall score based on the scientific rankings. View our page to search various areas of interest and methodology.

 


A Complete Guide to Azure DevOps and it’s Services

This article was published as a part of the Data Science Blogathon. Introduction Azure DevOps refers to Microsoft’s DevOps Enablement platform, which supports software development teams through version control, requirements management, project management, reporting, automated builds, testing, and release management and can integrate with other…

 


En octubre Isficana vuelve a la Tecnoteca con más capacitaciones para emprendedoras

En octubre Isficana vuelve a la Tecnoteca con más capacitaciones para emprendedorasEn octubre Isficana vuelve a la Tecnoteca con más capacitaciones para emprendedorasLunes 10 de Octubre de 2022 - 10:42 AM La nueva propuesta se llama "Innová Tu Mundo" (Innovate Your World), que consiste es un congreso de 3 charlas en la Tecnoteca San Francisco que tendrá…

 


Investigating at the interface of data science and computing

When trying to solve a complex statistics problem, there is often a tug-of-war between data and computation. Without enough data, the computation needed to solve a statistical problem can be intractable, or at least consume a staggering amount of resources. But get just enough data and suddenly the intractable becomes solvable; the amount of computation…

 


Exploratory Data Analysis Using Einblick

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis, or EDA, examines the data and identifies potential relationships between variables using numerical summaries and visualisations. We use summary statistics and graphical tools to get to know our data and understand what we may deduce from them…

 


Discovering a Winning Combination as a Data Science Researcher

Teach Hike Visit Discover Swim Research Pursue Chase Do Play Snowshoe Skate Perform Dance Mentor Volunteer Sing Lead Study Change Ski Reach Inspire Explore Teach Hike Visit Discover Swim Research Pursue Chase Do Play Snowshoe Skate Perform Dance Mentor Volunteer Sing Lead Study Change Ski Reach Inspire Explore Teach Hike Visit Discover Swim Research Pursue…

 


People And Automation Work Side By Side In Modern Factories

Automation has been an important tool in a manufacturer’s toolbox for centuries. From steam-powered looms to cutting-edge industrial robots, hardware automation arrived first and continues to expand. Over the past decade or so of Industry 4.0, software automation has also grown, with machine learning and artificial intelligence embedded in more and more…

 


Sales Engagement Platforms Optimize Sales In A Hybrid World

The Forrester Wave™ evaluation covering sales engagement vendors in 2020 was released at a point during the COVID-19 epidemic when sellers could no longer visit customers and 53% of white-collar workers were planning to work from home for the foreseeable future. One year later, the Forrester/Human Resource Executive© Magazine Q3 2021 US HR Decision-Maker…

 


Stanford launches new data science major

Although this major is new, data science has been part of Stanford’s DNA for decades. The new BS major in data science succeeds the mathematical and computational science (MCS) major, which began in the 1970s but stopped accepting new students Sept. 1. Regardless of the pathway students choose, the data science major provides undergraduates with the skills…

 


3 Ways to Process CSV Files in Python

This article is about 3 ways you can process a CSV file using Python.

 


How to Implement Multi-Head Attention From Scratch in TensorFlow and Keras

Last Updated on October 4, 2022 We have already familiarised ourselves with the theory behind the Transformer model and its attention mechanism, and we have already started our journey of implementing a complete model by seeing how to implement the scaled-dot product attention. We shall now progress one step further into our journey by encapsulating…

 


Dr. Melvin Greer, Chief Data Scientist at Intel – the interview on Hashtag Trending Weekend Edition

My guest this week is Dr. Melvin Greer, the Chief Data Scientist at Intel. Greer brings a unique perspective to understanding data science and artificial intelligence. After that, he’s worked in three different areas:As a researcher in industry which led him to his current job at Intel as a chief data scientist and research fellow. We talk about everything…

 


The B2B Content Guide: Buyers Value Diverse Content Sources And Elements

Technology expertise, credibility, and data drive tech buyer decisions. Find out more in our latest blog.

 


Universidad Católica de Chile abre completo programa de “Data Science” en modalidad online y flexible

El MasterTrack™ en Data Science tiene una duración de cuatro meses en los que se enseña la teoría de la ciencia de datos y permite a los estudiantes aplicar sus habilidades en proyectos prácticos. El programa está orientado a la toma de decisiones basadas en datos, análisis datos con Python, creación de visualizaciones de datos y el aprovechamiento del…

 


Image Segmentation with U-Net

This article was published as a part of the Data Science Blogathon. Introduction In recent times, whenever we wish to perform image segmentation in machine learning, the first model we think of is the U-Net. It has been revolutionary in performance improvement compared to previous state-of-the-art methods.  U-Net is an encoder-decoder convolutional…

 


Detecting If a Person is Wearing a Mask or Not Using CNN

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. It will detect whether a person is wearing a face mask or not. We will learn everything from scratch, and I will explain every […]

The post…

 


The Forrester Technology Strategy Impact Award Finalists For Asia Pacific

When determining Forrester’s Technology Strategy Impact Award finalists, we look for stories of customer-obsessed transformations driven by the technology organisation. The companies recognised in this award are executing a future fit technology strategy that enables their company to quickly reconfigure business capabilities to meet future customer and…

 


Feature Store Summit 2022: A free conference on Feature Engineering

Next week, the Feature Store Summit 2022 will bring together leading innovators in cutting-edge technologies and discuss all things on data and AI!

 


A Day in the Life of a Machine Learning Engineer

What does a day in the life as a machine learning engineer look like for you?

 


Data Quality Fundamentals Expert Panel

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.

 


How to Implement Scaled Dot-Product Attention From Scratch in TensorFlow and Keras

Last Updated on October 4, 2022 Having familiarised ourselves with the theory behind the Transformer model and its attention mechanism, we’ll be starting our journey of implementing a complete Transformer model by first seeing how to implement the scaled-dot product attention. The scaled dot-product attention is an integral part of the multi-head…

 


¿Cómo la data science está influyendo en las grandes empresas?

Saber sacar provecho de los datos siendo un experto en Big Data es ponerse en marcha en dirección de una carrera profesional duradera. La demanda en el mercado laboral de expertos en datos sobrepasa la oferta. A quienes entran en este mundo les esperan numerosas temáticas alrededor de la Big Data, alrededor de el Deep Learning o de la Data Visualisation.…

 


A Gentle Introduction to Positional Encoding In Transformer Models, Part 1

Last Updated on September 20, 2022 In languages the order of the words and their position in a sentence really matters. The meaning of the entire sentence can change if the words are re-ordered. When implementing NLP solutions, the recurrent neural networks have an inbuilt mechanism that deals with the order of sequences. The transformer […]

The…

 


The ABCs of NLP, From A to Z

There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

 


The Transformer Attention Mechanism

Last Updated on September 20, 2022 Before the introduction of the Transformer model, the use of attention for neural machine translation was being implemented by RNN-based encoder-decoder architectures. The Transformer model revolutionized the implementation of attention by dispensing of recurrence and convolutions and, alternatively, relying solely on a…

 


Warehouse, Lake or a Lakehouse – What’s Right for you?

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Some of you might have also read about Lakehouses. Selecting one among […]

 


CFT de Los Ríos lanza carrera de Informática y Data Science en su sede de Paillaco

Como “una carrera para el presente y el futuro”, definió el rector Ramón Rubio, la nueva alternativa educacional que ofrecerá el Centro de Formación Técnica Estatal de Los Ríos en su sede de la comuna de Paillaco desde 2023. Se trata de la carrera de Informática y Data Science, que hasta ahora solo se impartía en la casa central de La Unión. “Técnico de…

 


The Transformer Positional Encoding Layer in Keras, Part 2

Last Updated on September 25, 2022 In part 1: A gentle introduction to positional encoding in transformer models, we discussed the positional encoding layer of the transformer model. We also showed how you can implement this layer and its functions yourself in Python. In this tutorial, we’ll implement the positional encoding layer in Keras and […]

 


11 Questions About Data Engineers: What’s the profession about, and where’s it heading?

I hope my answers will be useful to novice data engineers and anyone interested in data engineering.

 


New program to support translational research in AI, data science, and machine learning

The MIT School of Engineering and Pillar VC today announced the MIT-Pillar AI Collective, a one-year pilot program funded by a gift from Pillar VC that will provide seed grants for projects in artificial intelligence, machine learning, and data science with the goal of supporting translational research. Administered by the MIT Deshpande Center for…

 


Five Months Worth Of Takes On The Digital Accessibility Space

I’ve just returned from maternity leave and am excited to dive back into my role covering digital accessibility for Forrester. Why am I so excited? Well, a lot happened in the five months I was out that signals to me the growing importance of creating experiences that are accessible to all. Here’s my take on […]

 


The Understated Art of Data Storytelling

This article was published as a part of the Data Science Blogathon. Introduction to Data Storytelling Storytelling is a beautiful legacy that is a part of our great Indian culture, from the legendary Mahabharata era to Puranas and Jataka fables. Stories have been an imminent part of childhood, and the most important morals and values […]

The post…

 


Data Governance and Its Benefits

 This article was published as a part of the Data Science Blogathon. Introduction Today’s fast-moving, ultra-competitive, and rapidly evolving business environment means that only the smartest, fastest, and most innovative businesses will rise to the top. However, such success is increasingly unattainable without a robust data management program. As…

 


Debunking the Myth of the Citizen Data Scientist

While there are some benefits to having citizen data scientists, they are no silver bullet – and they certainly aren’t a replacement for true data scientists.

 


Using Text Mining on Reviews Data to Generate Business Insights!

This article was published as a part of the Data Science Blogathon. Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business. There is a host of useful information in such unstructured data that we can discover. Making sense of this unstructured data can help companies better understand…

 


Meet The New Analyst Covering AI And Insurance: Indranil Bandyopadhyay

New Principal Analyst joins Forrester in the areas of financial service, focusing on insurance and data, AI, and ML.

 


Role-Based Sales Competency Maps — I Ain’t Got Time For That!

Ugh. I get it. When I was a first-time sales enablement practitioner, just the mention of “competencies” made my eyes glaze over and my attention immediately wane. I believed that competency mapping was a theoretical exercise invented by human resources or learning designers to test my last nerve. I was certain that the exercise would […]

 


The Vision Transformer Model

Last Updated on October 4, 2022 With the Transformer architecture revolutionizing the implementation of attention, and achieving very promising results in the natural language processing domain, it was only a matter of time before we could see its application in the computer vision domain too. This was eventually achieved with the implementation of the…

 


Uber Data Science Apprenticeship Programme (DSA) 2023 (Fully-funded)

Uber Data Science Apprenticeship Programme (DSA) 2023 (Fully-funded)40 SHARES Share TweetDeadline: OngoingApplications are open for the Uber Data Science Apprenticeship Programme (DSA) 2023. The DSA programme is a full-time paid apprenticeship that requires participants to be based in the San Francisco Bay Area. BenefitsIn the Data Science Apprenticeship (…

 


Por qué el data scientist es un rol clave dentro de las empresas

Es decir, los contadores, administradores de empresas, ingenieros y físicos cuentan con mayores facilidades para convertirse en data scientists. A partir de eso, se requiere que el área de marketing intervenga e implemente acciones correctivas para retenerlos. No obstante, el Big Data no solo es útil para entender qué productos funcionan mejor en el mercado…

 


Data Science Networking and Panel Event

Previously, He was the CEO of Accent for 18 months, an $80M entity with 2k employees which is focused on customer care. Named 2010 Chief Marketer of the Year by CMO Magazine, David brings deep expertise in turning insights and analytics into action in marketing and operations. He also has significant experience with PE firms, including Apollo, Bain, GI…

 


Conviértete en data scientist sin salir de casa

¿Quieres saber cómo convertirte en data scientist sin salir de casa? Vivimos en la era de la información, rodeados de datos. Máster en data science de Assembler Institute¿Quieres ser un data scientist cualificado en solo 6 meses? En Assembler Institute of Technology quieren acompañarte en tu carrera como experto de datos. En Assembler Institute confían en…

 


Implementing the Transformer Encoder From Scratch in TensorFlow and Keras

Having seen how to implement the scaled dot-product attention, and integrate it within the multi-head attention of the Transformer model, we may progress one step further towards implementing a complete Transformer model by implementing its encoder. Our end goal remains the application of the complete model to Natural Language Processing (NLP). In this…

 


La escuela Hack a Boss y NTT Data lanzan una formación pionera en España sobre Data Science

Esta formación pionera está diseñada específicamente para facilitar la inserción del alumnado en el mundo laboral. Su programa formativo incluye módulos sobre Big Data, Python orientado a datos, Machine Learning, Businness Intelligence y las habilidades técnicas más demandadas por las empresas en la actualidad. El Bootcamp de Data Science contará con grupos…

 


15 personas participan en el curso ‘Data Science y Big Data’ en La Rinconada

El curso, puesto en marcha por la Diputación de Sevilla a través de Prodetur en colaboración con el área de Formación del Ayuntamiento de La Rinconada, forma a los participantes en el análisis científico de datosEl aula de nuevas tecnologías de la Hacienda Santa Cruz acoge hasta el 10 de octubre el curso ‘Data Science y Big Data’ en el que participan 15…