Sat.Mar 05, 2022 - Fri.Mar 11, 2022

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Fake News Classification Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Here’s a quick puzzle for you. I’ll give you two titles, and you’ll have to tell me which is fake. Ready? Let’s get started: “Adani Group is planning to explore investment in the EV sector.” “Wipro is planning to buy an EV-based startup.” […].

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Data Science Project Quick-Start

Eugene Yan

Hard-won lessons on how to start data science projects effectively.

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Predicting the past with Ithaca

DeepMind

The birth of human writing marked the dawn of History and is crucial to our understanding of past civilisations and the world we live in today. For example, more than 2,500 years ago, the Greeks began writing on stone, pottery, and metal to document everything from leases and laws to calendars and oracles, giving a detailed insight into the Mediterranean region.

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Gamification in AI?—?How Learning is Just a Game

Applied Data Science

Gamification in AI — How Learning is Just a Game A walkthrough from Minsky’s Society of Mind to today’s renaissance of multi-agent AI systems. ⁍ Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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Learn Basics of Natural Language Processing (NLP) using Gensim: Part 1

Analytics Vidhya

Natural Language Processing, or NLP for short, is a branch of Artificial Intelligence that allows machines to comprehend, process, and manipulate human languages. The breakthrough in NLP bridged the gap between humans and machines, paving the way for leading-edge technologies such as Language Translator, Voice Assistants such as Siri, Customer Service Chatbots, and many more. […].

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Predicting the past with Ithaca

DeepMind

The birth of human writing marked the dawn of History and is crucial to our understanding of past civilisations and the world we live in today. For example, more than 2,500 years ago, the Greeks began writing on stone, pottery, and metal to document everything from leases and laws to calendars and oracles, giving a detailed insight into the Mediterranean region.

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11 Books Every Data Scientist Must Read In 2023

Dlabs.ai

While knowledge of statistics and programming is a must-have for every data scientist , non-technical skills can also help you do the job. One particularly useful attribute is being business-minded, as proven in our article “5 Most In-Demand Skills for Data Scientists.” Now, you may be asking how you can acquire such a broad skill set? And that’s why we’ve prepared a list of resources to help you on your way.

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End-to-End Hotel Booking Cancellation Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition. ML provides all possible keys in all these fields and more, and it set […].

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Using Machine Learning for Sentiment Analysis: a Deep Dive

DataRobot Blog

This article was originally published at Algorithimia’s website. The company was acquired by DataRobot in 2021. This article may not be entirely up-to-date or refer to products and offerings no longer in existence. Find out more about DataRobot MLOps here. Sentiment analysis invites us to consider the sentence, You’re so smart! and discern what’s behind it.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

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Our Support for Ukraine

Wisdom Works

We have already posted an article recently on the use of technology in War (see our AI FUTURE SHOW newsletter ). But we wanted to make a more positive statement in support of Ukraine. Like the larger technology consultancy firms, we also wish to confirm that we do not and will not work with any Russian entity. For transparency; We already partner with several European firms, including companies based in Poland.

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Deploying Machine Learning models using GCP's Google AI Platform - A Detailed Tutorial

Shreyansh Singh

In my last post I had written about deploying models on AWS. So, I though it would only be fitting to write one for GCP, for all the GCP lovers out there. GCP has a service called the AI Platform which, as the name suggest, is responsible for training and hosting ML/AI models. Just like the last post, this post, through a PoC, describes - How to add a trained model to a Google Cloud bucket Host the saved model on the AI Platform Create a Service Account to use the model hosted on AI Platform ext

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The Power of Decisioning Async

Analytics Vidhya

Introduction The gushing VC funds, the blessing of unicorns, the pool of enterprising tech talent have left start-ups with no option but to move faster. In a fast-paced company, decisions have to be faster and more decentralized. The large meetings that have to find an intersection across many busy calendars can slow down decisions in […]. The post The Power of Decisioning Async appeared first on Analytics Vidhya.

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Applying massive language models in the real world with Cohere

Jay Alammar

A little less than a year ago, I joined the awesome Cohere team. The company trains massive language models (both GPT-like and BERT-like) and offers them as an API (which also supports finetuning). Its founders include Google Brain alums including co-authors of the original Transformers paper. It’s a fascinating role where I get to help companies and developers put these massive models to work solving real-world problems.

BERT 40
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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Our Support for Ukraine

Wisdom Works

We have already posted an article recently on the use of technology in War (see our AI FUTURE SHOW newsletter ). But we wanted to make a more positive statement in support of Ukraine. Like the larger technology consultancy firms, we also wish to confirm that we do not and will not work with any Russian entity. For transparency; We already partner with several European firms, including companies based in Poland.

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An Overview of Data Collection: Data Sources and Data Mining

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data source can be the original site where data is created or where physical information is first digitized. Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source […]. The post An Overview of Data Collection: Data Sources and Data Mining appeared first on Analytics Vidhya.

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Blogathon 18 is Live Now! Total prizes worth INR 6 Lakh(?USD 8000)

Analytics Vidhya

Analytics Vidhya is back with another edition of Blogathon which is live now! Click here to register! “There is no greater agony than bearing an untold story inside you.” […]. The post Blogathon 18 is Live Now! Total prizes worth INR 6 Lakh(?USD 8000) appeared first on Analytics Vidhya.

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Top AI and ML Conferences in 2022

Analytics Vidhya

Introduction Getting to meet and interact with people from your domain is always a great feeling. This is why conferences that revolve around Artificial Intelligence (AI) are great for developers, analysts and students who wish to work with AI (build or incorporate). Participating in international conferences is one of the best ways to stay updated […].

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Visualize Deep Learning Models using Visualkeras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Deep learning, a subset of machine learning, is undoubtedly gaining popularity due to big data. Startups and commercial organizations alike are competing to use their valuable data for business growth and customer satisfaction with the help of deep learning […].

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A Brief Overview of Recurrent Neural Networks (RNN)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.

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When the Measurement’s Accuracy Misleads you!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Ivan Bandura on Unsplash Introduction on Measurements Accuracy You’ve undoubtedly heard about gold diggers as well. In the majority of these cases, individuals discover enormous wealth with the aid of gold diggers and become overnight millionaires. Your friend has a gold detector. […].

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Introductory Guide on the Activation Functions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. What are Activation Functions? Activation functions are mathematical functions in an artificial neuron that decides whether it should be activated,i.e, turned on or not. An artificial neuron takes a linear combination of the inputs from the neurons of the previous layer and applies the […].

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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A Beginners’ Guide to Data Structures in Python

Analytics Vidhya

Overview Role of Data Structures in doing Analysis using Python Getting to know about Tuple, List, Dictionary, Set, Array, Series and Data Frame Major data structures explained in detail Introduction Every one of us in our data science journey is inclined towards learning Python: The Python Programming Language. Why so? Majorly for the Predictive Analytics […].

Python 291
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Exciting Things about Python that Every User Should Know!

Analytics Vidhya

Introduction Python is a really interesting programming language and by the end of this blog, you’ll also understand why. The IEEE Spectrum has ranked Python #1 in their list of top programming languages, 2020. It has maintained its position at #1 since the year 2017. Interesting! Isn’t it? It definitely took some time for python […]. The post Exciting Things about Python that Every User Should Know!

Python 290
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A Comprehensive Guide on ggplot2 in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image source: Author Introduction Visualization plays an important role in the decision-making process after analyzing relevant data. Graphical representation highlighting the interdependence of key elements affecting performance is important in the above process.

Python 290
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X-Ray Classification Using Pretrained-Stacked Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Link Hey Folks!! In the last article, we have talked about Building Search Engines using NLP concepts if you haven’t read it, refer to this link. In this article, we are going to talk about an application of Image Classing /Classification and that […]. The post X-Ray Classification Using Pretrained-Stacked Model appeared first on Analytics Vidhya.

NLP 271
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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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What were you thinking when you choose your Data Scientist Profile?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Unsplash.com There are many data science fields, you will have to work closely with your business to identify issues. You will get many articles telling tips for creating a solid profile, but no one will tell you which profile you should pick as […]. The post What were you thinking when you choose your Data Scientist Profile?

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Multiple Linear Regression using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Working with Dataset Define X and Y Perform OneHotEncoding Change columns using Column Transformer Split the dataset into train set and test set Train the model Predict the test Results Evaluate the model Plot the Results Predicted Values Introduction In […].

Python 270
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Basic Introduction to Feed-Forward Network in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A Feed Forward Neural Network is an artificial Neural Network in which the nodes are connected circularly. A feed-forward neural network, in which some routes are cycled, is the polar opposite of a Recurrent Neural Network. The feed-forward model is the basic type of […]. The post Basic Introduction to Feed-Forward Network in Deep Learning appeared first on Analytics Vidhya.