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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Smart Factories: Artificial Intelligence and Automation for Reduced OPEX in Manufacturing

DataRobot Blog

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services th

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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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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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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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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.

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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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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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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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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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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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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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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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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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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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Understanding User Needs and Satisfying Them

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.

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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 284
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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 284
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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 284
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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.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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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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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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An Overview on Long Short Term Memory (LSTM)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. You will be given a brief introduction to LSTMs in this article. This gives you a clear and accurate understanding of what LSTMs are and how they work, as well as an essential statement about the potential of LSTMs in the field of recurrent […]. The post An Overview on Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.