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The fields of DataScience, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. In this blog, we will explore the top 7 LLM, datascience, and AI blogs of 2024 that have been instrumental in disseminating detailed and updated information in these dynamic fields.
Python has become a popular programming language in the datascience community due to its simplicity, flexibility, and wide range of libraries and tools. Learn the basics of Python programming Before you start with datascience, it’s essential to have a solid understanding of its programming concepts.
Introduction In the ever-evolving world of datascience, staying updated with the latest trends, tools, and techniques is crucial for anyone looking to keep their edge. Whether you’re a seasoned data scientist or just starting out, the wealth of knowledge available online can be overwhelming.
Dive into this blog as we uncover what is an LLM Bootcamp and how it can benefit your career. We’ll explore the specifics of DataScience Dojo’s LLM Bootcamp and why enrolling in it could be your first step in mastering LLM technology. What is DataScience Dojo’s LLM Bootcamp? What is an LLM Bootcamp?
Introduction DataScience is everywhere in the 21st century and has emerged as an innovative field. But what exactly is DataScience? This blog post aims to answer these questions and more. And why should one consider specializing in it?
ChatGPT plugins can be used to extend the capabilities of ChatGPT in a variety of ways, such as: Accessing and processing external data Performing complex computations Using third-party services In this article, we’ll dive into the top 6 ChatGPT plugins tailored for datascience.
Learn about the most common questions asked during datascience interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.
In this blog, I shared my story on getting 4 datascience job offers including Airbnb, Lyft and Twitter after being laid off. Any data scientist who was laid off due to the pandemic or who is actively looking for a datascience position can find something here to which they can relate.
Plots in datascience play a pivotal role in unraveling complex insights from data. Learn about 33 tools to visualize data with this blog In this blog post, we will delve into some of the most important plots and concepts that are indispensable for any data scientist.
Introduction Datascience is a rapidly growing field that combines programming, statistics, and domain expertise to extract insights and knowledge from data. Many resources are available for learning datascience, including online courses, textbooks, and blogs.
Introduction DataScience and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions.
Datascience in marketing is a game-changer. It allows businesses to unlock the potential of their data and make data-driven decisions that drive growth and success. By harnessing the power of datascience, marketers can gain a competitive edge in today’s fast-paced digital landscape.
In this blog, we will discuss the latest 6 projects that can escalate your datascience career and boost your datascience portfolio in a competitive era. Datascience projects to build your portfolio – DataScience Dojo 1. Any datascience projects we missed?
Introduction In the fast-paced world of DataScience and Machine Learning, staying updated with the latest trends, tools, and discussions is crucial for enthusiasts and professionals alike. WhatsApp, the ubiquitous messaging platform, has emerged as an unexpected yet potent medium for knowledge sharing and networking.
With ChatGPT, content writers can save time by automatically generating answers to often-asked questions or creating content for their blogs in a fraction of […] The post Harnessing the Power of ChatGPT for DataScience appeared first on Analytics Vidhya.
While these skills may not be directly related to datascience, they are essential for data scientists to be successful in their roles. Datascience success: Top 10 soft skills you need to master The human aspect is crucial in datascience, not just the technical side represented by algorithms and models.
That’s why, throughout March, we’re embracing women in AI by sharing their remarkable journeys and achievements on our blog. Gonzalez’s DataScience Career appeared first on Analytics Vidhya. Today, we’re honored to feature Leondra R. Join […] The post The Catalyst Behind Leondra R.
The original Cookiecutter DataScience (CCDS) was published over 8 years ago. The goal was, as the tagline states “a logical, reasonably standardized but flexible project structure for datascience.” That said, in the past 5 years, a lot has changed in datascience tooling and MLOps. Badges are delightful.
In my final year of BTech, with a growing interest in datascience and AI/ML, I realized I was unprepared to showcase my knowledge and skills I had built over time. Thats the moment I decided to build a datascience portfolio from scratch using nothing but Python Projects, GitHub as an Interface, and the internet.
It is great for datascience and machine learning tasks and it seamlessly integrates with Gemini to write code for you! To access Colab, you can type:… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.
Datascience and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of datascience vs computer science. It has, however, also led to the increasing debate of datascience vs computer science.
Datascience and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of datascience vs computer science. It has, however, also led to the increasing debate of datascience vs computer science.
Photo by Alex Knight on Unsplash I always get asked whats the best laptop for datascience? Now, to be honest, it doesnt really matter, and the best laptop is the one you have; it shouldnt be a barrier to learning datascience. That means many commands… Read the full blog for free on Medium.
This article was published as a part of the DataScience Blogathon. Introduction This problem that we will discuss in this blog comes from the cutting-edge intersection of AI with the drug discovery process, where DataRobot and my team play a very significant role. This blog is focused on an engagement my team, and I […].
Learn how to filter data efficiently in SQL with powerful techniques and real-world examples for data science.SQL Filtering Techniques for DataScience The WHERE clause is the part of the SELECT statement that is used to list conditions that determine which rows in the table should be included in the result set.
This article was published as a part of the DataScience Blogathon. Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.” This blog is […].
This article was published as a part of the DataScience Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […].
This blog post explores Principal Component Analysis (PCA), its importance in datascience, and how it transforms complex, high-dimensional data into meaningful insights. Through real-world examples and practical steps, readers will learn how to effectively apply PCA and enhance their data analysis skills.
Rockets legacy datascience environment challenges Rockets previous datascience solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided DataScience Experience development tools.
This article was published as a part of the DataScience Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset.
All My Blog Posts In OnePlace (And its not thisplace.) In it, youll find a link to every single medium.com blog post Ive ever published, along with its FriendLink. In it, youll find a link to every single medium.com blog post Ive ever published, along with its FriendLink. This spreadsheet.
In this short blog, we’ll review the process of taking a POC datascience pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.
In this blog, we will explore one such crucial metric the F1 score. This blog will guide you through what the F1 score is, why it is crucial for evaluating LLMs, and how it is able to provide users with a balanced view of model performance, particularly with imbalanced datasets.
This article was published as a part of the DataScience Blogathon. Introduction Ever wondered how to query and analyze raw data? This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Also, have you ever tried doing this with Athena and QuickSight?
This article was published as a part of the DataScience Blogathon Overview In this blog, we will be using computer vision techniques to extract the text from the images. After extracting the text we will apply some basic functions of OpenCV on that text to enhance it and to get more accurate results. This project […].
This article was published as a part of the DataScience Blogathon. Introduction In this blog, we will try to solve a famously discussed task of Brain MRI segmentation. Where our task will be to take brain MR images as input and utilize them with deep learning for automatic brain segmentation matured to a level […].
This article was published as a part of the DataScience Blogathon. Dear readers, In this blog, we will get introduced to reinforcement learning and also implement a simple example of the same in Python. It will be a basic code to demonstrate the working of an RL algorithm.
This article was published as a part of the DataScience Blogathon. Dear readers, In this blog, we will be discussing how to perform image classification using four popular machine learning algorithms namely, Random Forest Classifier, KNN, Decision Tree Classifier, and Naive Bayes classifier. At the end of the […].
This article was published as a part of the DataScience Blogathon. Introduction on Snowflake Architecture This article helps to focus on an in-depth understanding of Snowflake architecture, how it stores and manages data, as well as its conceptual fragmentation concepts.
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