Best AI tools for< improve data skills >

Ferdinand is a chatbot that provides interactive mini-courses on data and analytics, delivered directly through Slack. It aims to make data accessible and understandable for everyone, regardless of their background or experience. Ferdinand offers a range of features to help users learn about data, including: * Interactive mini-courses: Ferdinand's courses are designed to be engaging and easy to follow, with each lesson taking just 5-10 minutes to complete. * Personalized learning paths: Users can choose their own learning path, based on their interests and needs. * Progress tracking: Ferdinand tracks users' progress through the courses, so they can see how they are improving. * Integration with Slack: Ferdinand integrates directly with Slack, so users can access the courses and track their progress without leaving the platform. Ferdinand is a valuable tool for anyone who wants to learn more about data and analytics. It is easy to use, affordable, and effective.

Faraday is a no-code AI platform that helps businesses make better predictions about their customers. With Faraday, businesses can embed AI into their workflows throughout their stack to improve the performance of their favorite tools. Faraday offers a variety of features, including propensity modeling, persona creation, and churn prediction. These features can be used to improve marketing campaigns, customer service, and product development. Faraday is easy to use and requires no coding experience. It is also affordable and offers a free-forever plan.

Pymetrics is a soft skills platform that revolutionizes the hiring and talent management process by utilizing data-driven behavioral insights and audited AI technology. The platform aims to make hiring more efficient, effective, and fair across the talent lifecycle. Pymetrics offers solutions for attracting, retaining, and growing talent, with a focus on early careers, high volume workers, professional hiring, career planning, leadership development, and diversity in the workforce.

CodeSignal is an AI-powered platform that helps users discover and develop in-demand skills. It offers skills assessments and AI-powered learning tools to help individuals and teams level up their skills. The platform provides solutions for talent acquisition, technical interviewing, skill development, and more. With features like pre-screening, interview assessments, and personalized learning, CodeSignal aims to help users advance their careers and build high-performing teams.

MasterInterview is your ultimate AI interview coach, designed to help you master job-specific interviews through interactive sessions. Backed by industry experts and powered by advanced GPT-4 technology, the platform offers personalized feedback, tailored interview questions, and virtual interview sessions with a fox avatar. With comprehensive feedback and revised answers, MasterInterview aims to assist candidates in landing their dream jobs effectively and efficiently.

Quick, Draw! is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways.

Poised is an AI-powered communication coach that provides real-time feedback and personalized coaching to help users improve their communication skills in meetings and presentations. It analyzes speech and video to provide insights on critical dimensions for effective spoken communication, such as clarity, confidence, and filler words. Poised integrates with popular video conferencing software and keeps user data private.

FavTutor AI Learning is an AI-powered tool designed to help users master programming skills through personalized learning experiences. The tool utilizes artificial intelligence algorithms to provide tailored lessons, practice exercises, and feedback to enhance the user's programming proficiency. With FavTutor AI Learning, users can improve their coding abilities at their own pace and convenience, making it an ideal platform for both beginners and experienced programmers seeking to enhance their skills.

Skillora is an AI Interviewer Tool designed to help individuals practice and improve their interview skills in a safe and realistic environment. Users can take personalized mock interviews with the AI interviewer, receive instant feedback, and access learning resources to enhance their performance. Skillora offers customizable mock interviews tailored to any job description, dynamic follow-up questions, and clear scoring for each response. The application aims to boost users' confidence and success in landing their dream jobs.

InterviewAI is an AI-powered platform that helps users prepare for and practice their job interviews. It offers a range of features, including practice interviews with AI, personalized cover letter generation, and feedback on interview performance. InterviewAI is designed to help users improve their interview skills, increase their confidence, and succeed in their job search.

The OECD Observatory of Public Sector Innovation (OPSI) is a website that provides resources and tools to help governments and public servants explore new possibilities for innovation. OPSI's work areas include European Commission Collaboration, Anticipatory Innovation, Cross-Border Government Innovation, Behavioural Insights, Innovative Capacity, Innovation Trends, Innovation Portfolios, Mission-Oriented Innovation, Innovation Management, and Systems Approaches. OPSI also has a number of resources available, including a Toolkit Navigator, Case Study Library, Portfolio Exploration Tool, and Anticipatory Innovation Resource (AIR).

ResumeDive is an AI-driven tool designed to enhance resumes and optimize job application processes. It provides personalized feedback, job-specific action items, pros and cons analysis, tailored cover letters, and salary estimation. Users can improve their resume by tailoring skills to job descriptions, meeting ATS standards, and impressing recruiters. The tool offers free audits and affordable credit-based pricing options for users to access its features.

Appzoon.AI is an AI tool that serves as a hub for exploring and utilizing a wide range of AI tools and applications. With over 600 AI tools and applications available, Appzoon.AI caters to various needs and interests. Users can find tools related to Generative AI, Optimization AI, Email Marketing AI, and Business AI, among others. The platform also features top-rated AI applications and provides resources and guides to enhance language learning and improve various aspects of businesses.

pymetrics is an AI-powered soft skills platform that revolutionizes the hiring and talent management process by leveraging data-driven behavioral insights and audited AI technology. The platform aims to create a more efficient, effective, and fair recruitment process across the talent lifecycle. pymetrics offers solutions for talent acquisition, workforce transformation, mobility, reskilling, learning and development, and soft skills assessment. It provides custom AI algorithms tailored to each company's unique needs, ensuring unbiased candidate evaluation and suggesting optimal job matches.

Preps is an AI-powered mock interview simulation platform designed to help users prepare for technical interviews. It offers realistic interview scenarios that mimic real-world technical interviews conducted at top tech companies. Users can practice with AI interviewers in real-time, receive personalized feedback, and improve their interview skills. With Preps, users can simulate various interview scenarios, practice unexpected questions, and refine their answers to increase their chances of success in technical interviews.

Allie K. Miller is an AI business leader and international speaker based in New York City. She is known for defining and scaling businesses in the era of artificial intelligence, using a renaissance approach to solve technical problems. Allie has a strong background in machine learning, having worked at Amazon and IBM, and is recognized for her contributions to the AI field through speaking engagements, advisory roles, and educational guidebooks. She offers expert-designed courses and tools to enhance AI skills and leadership potential, catering to both individuals and enterprises.

Pgrammer is an AI-powered platform designed to help users practice coding interview questions effectively. It offers a personalized learning experience with hints and analysis credits to enhance coding skills and boost confidence. Unlike traditional methods like LeetCode, Pgrammer provides a diverse set of questions for over 20 programming languages, ensuring users are well-prepared for coding interviews. The platform utilizes GPT-4 technology to simulate a FAANG level software engineer conducting an interview, providing real-time hints, feedback, and solution analysis. Pgrammer aims to streamline the preparation process and offer a supportive environment for users to excel in coding interviews.

Wonderway is an AI-powered sales coaching platform that helps businesses improve their sales performance. It uses machine learning to analyze sales calls and identify areas for improvement. Wonderway also provides personalized training and coaching to help sales reps improve their skills. The platform has been shown to increase conversion rates by up to 40%.

JobWhiz is an AI-powered job interview preparation platform that helps job seekers practice their interviewing skills and improve their chances of landing their dream job. With JobWhiz, users can access a library of over 500K interview questions, receive personalized coaching tips, and get instant feedback on their answers. JobWhiz is designed to be easy to use and fun, and it can be accessed from any device.

Interview with AI is an online platform that helps users prepare for job interviews using artificial intelligence (AI). The platform offers a range of features, including personalized roadmaps, interactive quizzes, and mock interviews with AI companions. Interview with AI is designed to help users improve their interview skills, learn new concepts, and increase their chances of getting their dream job.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Python Trending Weekly is a curated newsletter by Python猫 that selects the most valuable articles, tutorials, open-source projects, software tools, podcasts, videos, and hot topics from over 250 English and Chinese sources. The newsletter aims to help readers improve their Python skills and increase their income from both professional and side projects. It offers paid subscription options and is available on various platforms like GitHub, WeChat, blogs, email, Telegram, and Twitter. Each issue shares a collection of articles, open-source projects, videos, and books related to Python and technology.

AI Summer is a repository focused on providing workshops and resources for developing foundational skills in generative AI models and transformer models. The repository offers practical applications for inferencing and training, with a specific emphasis on understanding and utilizing advanced AI chat models like BingGPT. Participants are encouraged to engage in interactive programming environments, decide on projects to work on, and actively participate in discussions and breakout rooms. The workshops cover topics such as generative AI models, retrieval-augmented generation, building AI solutions, and fine-tuning models. The goal is to equip individuals with the necessary skills to work with AI technologies effectively and securely, both locally and in the cloud.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

Continue is an open-source autopilot for VS Code and JetBrains that allows you to code with any LLM. With Continue, you can ask coding questions, edit code in natural language, generate files from scratch, and more. Continue is easy to use and can help you save time and improve your coding skills.

Kor is a prototype tool designed to help users extract structured data from text using Language Models (LLMs). It generates prompts, sends them to specified LLMs, and parses the output. The tool works with the parsing approach and is integrated with the LangChain framework. Kor is compatible with pydantic v2 and v1, and schema is typed checked using pydantic. It is primarily used for extracting information from text based on provided reference examples and schema documentation. Kor is designed to work with all good-enough LLMs regardless of their support for function/tool calling or JSON modes.

Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.

FreeGenius AI is an ambitious project offering a comprehensive suite of AI solutions that mirror the capabilities of LetMeDoIt AI. It is designed to engage in intuitive conversations, execute codes, provide up-to-date information, and perform various tasks. The tool is free, customizable, and provides access to real-time data and device information. It aims to support offline and online backends, open-source large language models, and optional API keys. Users can use FreeGenius AI for tasks like generating tweets, analyzing audio, searching financial data, checking weather, and creating maps.

This repository provides a comprehensive collection of AI tools and resources to enhance literature reviews. It includes a curated list of AI tools for various tasks, such as identifying research gaps, discovering relevant papers, visualizing paper content, and summarizing text. Additionally, the repository offers materials on generative AI, effective prompts, copywriting, image creation, and showcases of AI capabilities. By leveraging these tools and resources, researchers can streamline their literature review process, gain deeper insights from scholarly literature, and improve the quality of their research outputs.

PythonAI is an open-source AI Assistant designed for the Raspberry Pi by Kevin McAleer. The project aims to enhance the capabilities of the Raspberry Pi by providing features such as conversation history, a conversation API, a web interface, a skills framework using plugin technology, and an event framework for adding functionality via plugins. The tool utilizes the Vosk offline library for speech-to-text conversion and offers a simple skills framework for easy implementation of new skills. Users can create new skills by adding Python files to the 'skills' folder and updating the 'skills.json' file. PythonAI is designed to be easy to read, maintain, and extend, making it a valuable tool for Raspberry Pi enthusiasts looking to build AI applications.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

Kairon is an open-source conversational digital transformation platform that helps build LLM-based digital assistants at scale. It provides a no-coding web interface for adapting, training, testing, and maintaining AI assistants. Kairon focuses on pre-processing data for chatbots, including question augmentation, knowledge graph generation, and post-processing metrics. It offers end-to-end lifecycle management, low-code/no-code interface, secure script injection, telemetry monitoring, chat client designer, analytics module, and real-time struggle analytics. Kairon is suitable for teams and individuals looking for an easy interface to create, train, test, and deploy digital assistants.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Expert math tutor and problem solver with online research and data analysis skills.

Get into FAANG. Practice with an AI expert in algorithms, data structures, and system design. Do a mock interview and improve.

Harmonizing Challenge and Skill: Learn with the perfect amount of challenge.

Memory training and cognitive skill enhancer

I am a digital scientist skilled in Python, here to assist with scientific and data analysis tasks.

Retrieves hunting-related data for each state. Providing insightful data analysis on trends in hunting statistics. (beta)

Your angler and water data expert.

Lively Chinese guide for sequential probability problem-solving.

A teaching assistant for Edexcel GCSE Computer Science 1CP2

A respectful AI for quick, fun IQ tests.

Advanced AGI system for easing decision-making and offering personalized advice.

代码大师提供详细的技术解决方案

競技プログラミングコーチ。

I offer engaging Python puzzles, explain solutions and immediately present the next challenge.

Interview with Ami. An AI moderated practice interviewer created by @SprinterviewAi

Effective DS & Algorithms coach (type "help" to start). "May the Forge be with you! 🚀"

Test ideas for cognitive biases or challenge your own views. Member of the Hipster Energy Team. https://hipster.energy/team

4.5 ★ A mock interview is a practice interview, that could be useful while you're looking for a job. This GPT works for any job and any language.

Assists with tech exam prep, adheres to specific rules.

Teaching and guiding users in blackjack