Data Science Dojo

MARCH 3, 2023

Data science model deployment can sound intimidating if you have never had a chance to try it in a safe space. Do you want to make a rest API or a full frontend app? What does it take to do either of these? It’s not as hard as you might think. In a flask, we’ll create a rest API and a web app version.

Machine Learning 195

Machine Learning Machine Learning Data Science Python 195

Data Science 101

SEPTEMBER 6, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “How well can you write about a process, how cohesive is it, and can you write for different audiences?”

SQL 111

SQL Python 111

Towards AI

FEBRUARY 20, 2024

As datasets have popped over the internet, people use them to create various models, fine-tuning their skills. Now, people may be able to showcase their projects on GitHub and show them to their friends and family. A common question has surfaced multiple times — how do I deploy my model onto the web?

Machine Learning 108

Machine Learning Machine Learning Python AI 108

Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” ” you’re in the right place. And guess what? You could be one of them. What is a data scientist? Before we answer the question, “how to become a data scientist?” Let’s get started!

Data Scientist 172

Data Scientist Data Analyst Data Science Machine Learning 172

DrivenData Labs

FEBRUARY 19, 2024

If you are just getting started, first checkout the competition homepage and problem description. Pose Bowl: Object Detection ¶ In this challenge, you will help to develop new methods for conducting spacecraft inspections by identifying the position and orientation of a target spacecraft in an image. tar -xzvf 0.tar

Python 130

Python Algorithm Azure 130

AssemblyAI

NOVEMBER 30, 2023

In this tutorial, we'll learn how to utilize LLMs to extract call insights in just a few lines of code. Set up time for builder to assess potential property site prior to purchase. Setting Up Your Environment First, create a directory for the project and navigate into it. Paste the following code in a file called main.py.

Python 111

Python Data Analysis Data Analysis AI 111

Towards AI

APRIL 4, 2024

Image generated using Yarnit AI by the author 30th November, 2022 will be remembered as the watershed moment in artificial intelligence. A Chronology of Large Language Models — Image Source : Charly Wargnie OpenAI has been at the forefront of developing Large Language Models and making them accessible to the developer community.

AI 88

AI AI Python Artificial Intelligence 88

Hacker News

JANUARY 15, 2024

To solve the problem you have to submit to the website the correct solution. Once you do part 2 of the problem unlocks, usually a harder version of the problem in part 1. There's also a leaderboard where participants are scored based on how fast they submitted a solution. A lot of noise was made of GPT-3.5

Python 122

Python AI AI 122

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? You just want to create and analyze simple maps not to learn algebra all over again.

Machine Learning 86

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 86

Dataconomy

NOVEMBER 1, 2023

Its job is to make your life easier by helping out with different tasks you do on these apps. For instance, if you’re using Word, Excel, PowerPoint, Outlook, or Teams, Copilot steps in to lend a hand. But it’s not perfect yet; there have been some issues where it doesn’t fully understand what users want.

Python 103

Python AI AI 103

Dataconomy

AUGUST 16, 2023

Today’s question is, “What does a data scientist do.” Think of them as modern-day detectives, archeologists, and alchemists combined, all working their magic to decipher the language of data and unearth the gems hidden within. Exploring the question, “What does a data scientist do?”

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Dataconomy

MAY 2, 2023

What do machine learning engineers do? They are the architects of the intelligent systems that are transforming the world around us. What do machine learning engineers do? Does a machine learning engineer do coding? Does a machine learning engineer do coding? They build the future.

ML 110

ML ML Machine Learning Machine Learning 110

Dataconomy

NOVEMBER 7, 2023

Hackers do not find a new way to access your servers every day. Zip bombing is one of the simplest but most effective ways to do this. What is a Zip bomb? To explain zip bombing we must first explain what is a ZIP file. ZIP files are often used to reduce the size of files for easier storage or transmission.

Python 103

Python AWS Algorithm 103

Towards AI

DECEMBER 10, 2023

A programmer Tanuki — created with DALL·E 3 TLDR: This workflow responds to customer feedback messages and parses them into prioritized support tickets using GPT4 + Tanuki (open-source). Who is this useful for? How advanced is this post? Basic knowledge of Python is required, but that’s about it.

Database 87

Database Python AI AI 87

O'Reilly Media

OCTOBER 17, 2023

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. And that you could learn the basics in two hours. But before discussing why, it’s important to think about what prompt engineering means.

AI 100

AI AI Database Python 100

Pickl AI

APRIL 26, 2024

Their ability to translate raw data into actionable insights has made them indispensable assets in various industries. This article aims to guide you through the intricacies of Data Analyst interviews, offering valuable insights with a comprehensive list of top questions.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Data Science 101

OCTOBER 24, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer.

Clustering 105

Clustering Cloud Computing Python 105

Towards AI

FEBRUARY 15, 2024

Gemini Pro, along with Gemini Ultra and Gemini Nano, was introduced to mark the beginning of what Google DeepMind calls the Gemini era, aiming to unlock new opportunities for people everywhere by leveraging AI’s capabilities​. We will show you how to get an API key and then use the relevant Gemini LLMs in Python.

Python 102

Python AI AI Data Science 102

Towards AI

MAY 9, 2024

If you dream of working with large language models (LLMs) and have a good programming background, I also created this one for you: Start with Large Language Models (LLMs) — Become an expert for free! If you enjoy reading the above guides, let us know! If you have feedback on how to improve it, share it in the thread!

AI 74

AI AI Machine Learning Machine Learning 74

Towards AI

APRIL 7, 2024

After years of battling over control of the TV (sparked by my sister’s questionable obsession with true crime), my sister, the brilliant pharmacist Miss Nyambok Cynthia, and I decided to put our eternal sibling rivalry to good use. You can find the application here and follow through with the discussion.

Machine Learning 114

Machine Learning Machine Learning Exploratory Data Analysis EDA 114

AWS Machine Learning Blog

APRIL 8, 2024

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries.

AWS 99

AWS Machine Learning Machine Learning Natural Language Processing 99

Data Science 101

SEPTEMBER 11, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “What happens when AI ends up making mistakes? Who is responsible for fixing them?” Great question!

AI 110

AI AI Algorithm Database 110

ODSC - Open Data Science

SEPTEMBER 18, 2023

I bet it wasn’t easy, but you pulled through and were able to get through the process. During that time, you likely learned a lot of valuable skills, discovered your strengths and weaknesses, and learned quite a bit about data science overall. So, what’s next? One clear example is the programming languages Python and R.

Data Science 98

Data Science Power BI Data Scientist Python 98

Flipboard

JUNE 11, 2023

If Neo were to help us peel back the layers, we would find code all around us. Indeed, modern society runs on code: Whether you buy something online or in a store, check out a book at the library, fill a prescription, file your taxes, or drive your car, you are most probably interacting with a system that is powered by software.

AI 170

AI AI SQL Python 170

ODSC - Open Data Science

MARCH 7, 2023

GitHub Copilot is an AI-empowered pair programmer that offers autocomplete-style suggestions as you code in different programming languages (like Python, C++, Javascript, and more). But to give you a deeper understanding of what these services are and how you could benefit from them, let me tell you a story, or better two.

Python 98

Python Data Science Data Scientist Data Visualization 98

AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

AWS 113

AWS Machine Learning Machine Learning ML 113

Mlearning.ai

JULY 4, 2023

This is probably the easiest way to run an LLM for free on your PC Created using Midjourney. If you would like to be able to test different LLMs locally for free and happen to have a GPU powered PC at home you’re in luck — thanks to the wonderful Open Source community, running different LLMs on Windows is very straightforward.

Python 98

Python ML ML AI 98

Pickl AI

MAY 16, 2024

Descriptive statistics summarize your data (averages, spreads), while inferential statistics use samples to draw conclusions about larger populations. These metrics help us understand the central tendency, spread, and shape of the data. Inferential statistics, on the other hand, go a step further.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Chatbots Life

MAY 17, 2023

The ChatGPT community has been on fire lately, discovering amazing new uses for ChatGPT. Still, it’s amazing when advanced AI is used for mundane jobs. So I issued a challenge to the members of the ChatGPT community: let’s have some laughs, think of some clever applications, and broadcast them to the world. Let’s begin.

AI 111

AI AI Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. This offers a customizable solution beyond what is possible with model evaluation jobs with Amazon Bedrock.

AWS 112

AWS Machine Learning Machine Learning Natural Language Processing 112

phData

JULY 19, 2023

Navigating Snowflake’s Snowsight and Snowpark can be a challenging task, especially when it involves developing stored procedures using Python and external libraries. What is Snowsight? What is Snowflake’s Snowpark? What’s New with Snowpark? There are several built-in features within the Python worksheet.

Python 52

Python SQL Database 52

phData

JULY 19, 2023

Navigating Snowflake’s Snowsight and Snowpark can be a challenging task, especially when it involves developing stored procedures using Python and external libraries. What is Snowsight? What is Snowflake’s Snowpark? What’s New with Snowpark? There are several built-in features within the Python worksheet.

Python 52

Python SQL Database 52

Towards AI

JANUARY 30, 2024

We will start with Azure, and I am going to show you how Azure isn’t just a pretty name with a cool logo. It’s the secret weapon you never knew you needed in your AI arsenal. How massive? It uses a neural network architecture known as a transformer model to do this. Well, that’s another story U+1F605.

Azure 90

Azure Python AI AI 90

ODSC - Open Data Science

OCTOBER 2, 2023

This would allow LLMs to communicate with each other and access information from a variety of sources, allowing them to share information and collaborate on tasks with greater efficiency. The project is still in its early stages, but it has the potential to revolutionize the way that open source LLMs are used. This makes LLama2.c

Data Science 98

Data Science Supervised Learning Python AI 98

phData

DECEMBER 13, 2023

When working on a shared code base with multiple team members, they can search the codes created and perfected for specific use cases. This allows them to leverage it to fulfill a portion of their requirement or gain insight into how they can develop for a similar requirement. What Are dbt Packages? Use Cases From dbt v1.6

SQL 52

SQL Python Azure Data Modeling 52

AssemblyAI

SEPTEMBER 6, 2023

In this tutorial, we'll learn how to perform Speech-to-Text in 5 minutes using Python and AssemblyAI's Speech-to-Text API. To interact with the API, we’ll use AssemblyAI’s Python SDK , which provides high level functions for creating and working with transcripts. Let's dive in!

Python 59

Python Machine Learning Machine Learning AI 59

AWS Machine Learning Blog

JUNE 5, 2023

Hyperparameter overview When training any machine learning (ML) model, you are generally dealing with three types of data: input data (also called the training data), model parameters, and hyperparameters. You use the input data to train your model, which in effect learns your model parameters.

AWS 76

AWS Machine Learning Machine Learning ML 76