It’s clear now that those that embrace AI first will set the standard, and those who oppose change will be supplanted by those who have already embraced AI. Artificial intelligence is becoming a necessary tool in many fields, including data science, and is no longer just a trend. AI-powered tools are being used by academics and developers more and more to streamline their processes. One such application that has been very popular recently is ChatGPT.
I’ll go over the top 7 AI technologies in this article that have simplified my work as a data scientist. These tools come in very handy for me while I’m creating tutorials, doing research, coding, analysing data, and working on machine learning projects. By making these tools available, I intend to assist other researchers and data scientists in streamlining their processes and staying on top of the constantly changing field of artificial intelligence.
1. Conversational Data Analysis with PandasAI
Pandas is a Python data manipulation and analysis software that is well-known to all data professionals. But what if I told you that you could analyse and create data visualisations by only typing a prompt or a question, as opposed to having to write code? PandasAI offers just that; it functions as an AI Agent for your Python workflow, automating data processing through a variety of AI models. Even locally run models are supported.
We have developed an agent with the pandas dataframe and OpenAI model in the code below. Using natural language, this bot can carry out a number of actions on your dataframe. We posed a straightforward query to it and then asked for an explanation of how it arrived at the conclusions.
import os
import pandas as pd
from pandasai.llm import OpenAI
from pandasai import Agent
sales_by_country = pd.DataFrame(
{
"country": [
"United States",
"United Kingdom",
"France",
"Germany",
"Italy",
"Spain",
"Canada",
"Australia",
"Japan",
"China",
],
"sales": [5000, 3200, 2900, 4100, 2300, 2100, 2500, 2600, 4500, 7000],
}
)
llm = OpenAI(api_token=os.environ["OPENAI_API_KEY"])
pandas_ai_df = Agent(sales_by_country, config={"llm": llm})
response = pandas_ai_df.chat("Which are the top 5 countries by sales?")
explanation = pandas_ai_df.explain()
print("Answer:", response)
print("Explanation:", explanation)The outcomes are outstanding. Using my real-world data for experiments would have required at least thirty minutes.
Answer: The top 5 countries by sales are: China, United States, Japan, Germany, United Kingdom
Explanation: I looked at the data we have and found a way to sort it based on sales. Then, I picked the top 5 countries with the highest sales numbers. Finally, I put those countries into a list and created a sentence to show them as the top 5 countries by sales.2. GitHub Copilot: Your Virtual Programmer Helper
It is now essential to use GitHub Copilot whether you work as a full-time developer or interact with code on a daily basis. Why? It improves your speed in writing clear, efficient code. You can even have conversations with your file, produce context-aware code, and debug more quickly.
Code generation, AI chatbot, inline chatbox, autocomplete, CLI autocomplete, and other GitHub-based tools that facilitate code search and comprehension are all included in GitHub Copilot.
Since GitHub Copilot is a paid product, you should look at the Top 5 AI Coding Assistants You Must Try if you don’t want to spend $10 a month on it.
3. ChatGPT: GPT-4-Powered Chat Application
During the past two years, ChatGPT has dominated the AI industry. It is used for a variety of non-work-related tasks, such as writing emails, creating content, and creating code.
Subscription holders have access to the state-of-the-art model GPT-4, which performs exceptionally well in addressing challenging issues.
I ask basic questions, create material, generate code, and explain code using it on a daily basis. AI-generated work isn’t always flawless. To show it to a larger audience, you might need to make some changes.
A vital tool for data scientists is ChatGPT. It is not dishonest to use it. Rather than taking longer than necessary to investigate and get answers, it saves you time.
Consider using open source AI models on your laptop if privacy is important to you. Take a look at 5 Ways To Use Laptop LLMs.
4. Colab AI: AI Powered Cloud Notebook
Because Google Colab offers free GPU and TPU usage, if you have trained a deep neural network for a challenging machine learning task, you had to have done so there first. Recently, Google Colab added additional capabilities that will speed up debugging, help you generate code, and autocomplete in response to the rise in generative AI.
Colab AI functions similarly to an in-workplace AI coding helper. Just urging and asking follow-up questions will create code. Inline code prompting is another feature, albeit its utility with the free version is restricted.
Purchasing the premium edition is strongly recommended as it offers better GPUs and an improved coding experience in general.
Find the perfect fit for you by experimenting with all of the Colab AI alternatives and learning about the Top 11 AI Coding Assistants for 2024.
5. Perplexity AI: Intelligent Search Platform
Perplexity AI has become my go-to search engine and research assistant. By offering succinct, current explanations together with connections to pertinent blogs and videos, it facilitates my learning of new technology and topics. I can even ask more questions and receive updated responses.
Perplexity AI provides a number of features to help its users. It can use the most recent sources to provide answers to a wide range of topics, from simple facts to intricate inquiries. With the help of its Copilot feature, users may delve deeply into their subjects, learning new things and pursuing interests they never knew existed. To further facilitate finding what they need later, users can group search results into “Collections” according to projects or subjects.
As an alternative to Google, check out these 8 AI-powered search engines that can improve your online research and searching skills.
6. Grammarly: AI Writing Assistance
I would like to inform you that Grammarly is a fantastic resource for people who struggle with dyslexia. It facilitates my ability to write precisely and swiftly. I’ve been using Grammarly for almost nine years, and I really enjoy the features that help me with spelling, punctuation, and writing structure correction. They recently released Grammarly AI, which uses generative AI models to help me write better. I can now produce better emails, direct messages, articles, lessons, and reports thanks to this application, which has made my life easier. For me, it’s an essential tool, much like Canva.
