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Coursera Practical Data Science Specialization

Explore resources related to coursera practical data science specialization to help implement AI solutions for your business.

coursera-practical-data-science-specialization
github
LLM Vibe Score0.465
Human Vibe Score0.0230635140825568
honghanhhOct 9, 2024

coursera-practical-data-science-specialization

Solutions on Practical Data Science Specialization Access all courses in the Coursera Practical Data Science Specialization Specialization offered by deeplearning.ai. This repo contains the SOLUTIONS of exercises/labs to achieve the badge. Course keynotes and solutions of related quizzes, assignments Practical Data Science Specialization on Coursera contains three courses: Course 1: Analyze Datasets and Train ML Models using AutoML Week 1: Artificial Intelligence (AI) mimics human behavior. Machine Learning (ML) is a subset of AI that uses statistical methods and algorithms that are able to learn from data without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses artificial neural networks to learn from data. AWS SageMaker --> [x] Practice Quiz: Week 1. [x] Graded External Tool: Register and visualize dataset. Week 2: Statistical Bias: Training data does not comprehensively represent the underlying problem space. Statistical Bias Causes: Activity Bias, Societal Bias, Selection Bias, Data Drift/Shift, ... Class Imbalance (CI) measures the imbalance in the number of members between different facet values. Detecting Statistical Bias by AWS SageMaker DataWrangler and AWS SageMaker Clarify. Feature Importance explains the features that make up the training data using a score. How useful or valuable the feature is relative to other features? SHAP (SHapley Additive exPlanations) --> [x] Practice Quiz: Week 2. [x] Graded External Tool: Detect data bias with Amazon SageMaker Clarify. Week 3: Data Prepreration includes Ingesting & Analyzing, Prepraring & Transforming, Training & Tuning, and Deploying & Managing. AutoML aims at automating the process of building a model. Model Hosting. --> [x] Practice Quiz: Week 3. [x] Graded External Tool: Train a model with Amazon SageMaker Autopilot. Week 4: Built-in Alogrithms in AWS SageMaker supports Classification, Regression, and Clustering problems. Text Analysis Evolution: Word2Vec (CBOW & Skip-gram), GloVe, FastText, Transformer, BlazingText, ELMo, GPT, BERT, ... --> [x] Practice Quiz: Week 4. [x] Graded External Tool: Train a text classifier using Amazon SageMaker BlazingText built-in algorithm. Course 2: Build, Train, and Deploy ML Pipelines using BERT Week 1 Feature Engineering involves converting raw data from one or more sources into meaningful features that can be used for training machine learning models. Feature Engineering Step includes feature selection, creation, and transformation. BERT is Transformer-based pretrained language models that sucessfully capture bidirectional contexts in word representation. Feature Store: centralized, reusable, discoverable. --> [x] Practice Quiz: Week 1. [x] Graded External Tool: Feature transformation with Amazon SageMaker processing job and Feature Store. Week 2 Learn how to train a customized Pretrained BERT and its variant models, debug, and profile with AWS SageMaker. --> [x] Practice Quiz: Week 2. [x] Graded External Tool: Train a review classifier with BERT and Amazon SageMaker. Week 3 MLOps builds on DevOps practices that encompass people, process, and technology. MLOps also includes considerations and practices that are really unique to machine learning workloads. --> [x] Practice Quiz: Week 3. [x] Graded External Tool: SageMaker pipelines to train a BERT-Based text classifier. Course 3: Optimize ML Models and Deploy Human-in-the-Loop Pipelines Week 1 Model Tuning aims to fit the model to the underlying data patterns in your training data and learn the best possible parameters for your model. Automatic Model Tuning includes grid search, random search, bayesian optimization, hyperband. Challenges: checkpointing, distribution training strategy. --> [x] Practice Quiz: Week 1. [x] Graded External Tool: Optimize models using Automatic Model Tuning. Week 2 [x] Practice Quiz: Week 2. [x] Graded External Tool: A/B testing, traffic shifting and autoscaling. Week 3 [x] Practice Quiz: Week 3. [x] Graded External Tool: Data labeling and human-in-the-loop pipelines with Amazon Augmented AI (A2I). Disclaimer The solutions here are ONLY FOR REFERENCE to guide you if you get stuck somewhere. Highly recommended to try out the quizzes and assignments yourselves first before referring to the solutions here. Feel free to discuss further with me on .

Mastering-AI-for-Entrepreneurs-9-Free-Courses
github
LLM Vibe Score0.203
Human Vibe Score0
Softtechhub1Feb 1, 2025

Mastering-AI-for-Entrepreneurs-9-Free-Courses

Mastering-AI-for-Entrepreneurs-9-Free-Courses Introduction: The Entrepreneur's AI RevolutionArtificial Intelligence (AI) is changing the way we do business. It's not just for tech giants anymore. Small businesses and startups are using AI to work smarter, not harder. As an entrepreneur, you need to understand AI to stay ahead.Why AI is a must-have skill for entrepreneursAI is everywhere. It's in the apps we use, the products we buy, and the services we rely on. Businesses that use AI are seeing big improvements:They're making better decisions with data-driven insightsThey're automating routine tasks, freeing up time for creativityThey're personalizing customer experiences, boosting satisfaction and salesIf you're not using AI, you're falling behind. But here's the good news: you don't need to be a tech wizard to harness the power of AI.Breaking the barriers to AI learningThink AI is too complex? Think again. You don't need a computer science degree to understand and use AI in your business. Many AI tools are designed for non-technical users. They're intuitive and user-friendly.The best part? You can learn about AI for free. There are tons of high-quality courses available at no cost. These courses are designed for busy entrepreneurs like you. They cut through the jargon and focus on practical applications.What to expect from this articleWe've handpicked nine free courses that will turn you into an AI-savvy entrepreneur. Each course is unique, offering different perspectives and skills. We'll cover:What makes each course specialWhat you'll learnHow it applies to your businessWho it's best suited forReady to dive in? Let's explore these game-changing courses that will boost your AI knowledge and give your business an edge.1. Google AI Essentials: A Beginner's Guide to Practical AIWhy This Course Is EssentialGoogle AI Essentials is perfect if you're just starting out. It's designed for people who don't have a tech background. The course focuses on how AI can help you in your day-to-day work, not on complex theories.What You'll LearnThis course is all about making AI work for you. You'll discover how to:Use AI to boost your productivity. Generate ideas, create content, and manage tasks more efficiently.Streamline your workflows. Learn how AI can help with everyday tasks like drafting emails and organizing your schedule.Use AI responsibly. Understand the potential biases in AI and how to use it ethically.Key TakeawaysYou'll earn a certificate from Google. This looks great on your resume or LinkedIn profile.You'll learn how to work alongside AI tools to get better results in your business.You'll gain practical skills you can use right away to improve your work.Get StartedEnroll in Google AI Essentials2. Introduction to Generative AI: A Quick Start for EntrepreneursWhy This Course Works for Busy EntrepreneursThis course is short and sweet. In just 30 minutes, you'll get a solid grasp of generative AI. It's perfect if you're short on time but want to understand the basics.What You'll LearnThe fundamentals of generative AI: what it is, how it works, and its limitsHow generative AI differs from other types of AIReal-world applications of generative AI in businessHow It Helps Your BusinessAfter this course, you'll be able to:Make smarter decisions about using AI tools in your businessSpot opportunities where generative AI could solve problems or create valueUnderstand the potential and limitations of this technologyGet StartedEnroll in Introduction to Generative AI3. Generative AI with Large Language Models: Advanced Skills for EntrepreneursWhy This Course Stands OutThis course digs deeper into the technical side of AI. It's ideal if you have some coding experience and want to understand how AI models work under the hood.What You'll LearnYou'll gain key skills for working with Large Language Models (LLMs):How to gather and prepare data for AI modelsChoosing the right model for your needsEvaluating model performance and improving resultsYou'll also learn about:The architecture behind transformer models (the tech powering many AI tools)Techniques for fine-tuning models to your specific business needsWho Should Take This CourseThis course is best for entrepreneurs who:Have basic Python programming skillsUnderstand the fundamentals of machine learningWant to go beyond using AI tools to actually building and customizing themGet StartedEnroll in Generative AI with Large Language Models4. AI for Everyone by Andrew Ng: Simplifying AI for Business LeadersWhy It's Perfect for BeginnersAndrew Ng is a leading figure in AI education. He's known for making complex topics easy to understand. This course is designed for non-technical learners. You don't need any coding or math skills to benefit from it.What You'll LearnHow AI works at a high levelHow to spot problems in your business that AI can solveWays to assess how AI might impact your business processes and strategiesWhy Entrepreneurs Love This CourseIt explains AI concepts in plain English, without technical jargonYou can complete it in just 8 hours, fitting it into your busy scheduleIt focuses on the business value of AI, not just the technologyGet StartedStart with AI for Everyone on Coursera5. Generative AI: Introduction and ApplicationsWhy This Course Is Ideal for EntrepreneursThis course offers a broad view of generative AI applications. You'll learn about AI in text, image, audio, and more. It's packed with hands-on experience using popular AI tools.What You'll LearnThe basics and history of generative AI technologiesHow different industries are using AI, from marketing to creative projectsPractical skills through labs using tools like ChatGPT, DALL-E, and Stable DiffusionHow It Stands OutYou'll hear from real AI practitioners about their experiencesThe course teaches you how to use generative AI to innovate and improve efficiency in your businessGet StartedEnroll in Generative AI: Introduction and Applications6. Generative AI for Everyone by Andrew Ng: Unlocking ProductivityWhy This Course Is a Must-HaveThis course focuses on using generative AI tools for everyday business tasks. It's all about boosting your productivity and efficiency.What You'll LearnHands-on exercises to integrate AI tools into your daily workReal examples of how businesses are using generative AI to save time and moneyTechniques for prompt engineering to get better results from AI toolsHow It Helps EntrepreneursYou'll learn to automate repetitive tasks, freeing up time for strategic thinkingYou'll discover new ways to use AI tools in your business processesYou'll gain confidence in experimenting with AI to solve business challengesGet StartedGo deeper with DeepLearning.AI7. Generative AI for Business Leaders by LinkedIn LearningWhy This Course Focuses on Business ApplicationsThis course is tailored for leaders who want to integrate AI into their business operations. It provides practical insights for improving workflows and decision-making.What You'll LearnStrategies for using AI to optimize your business operationsHow to save time and resources with AI-powered toolsPractical methods for implementing AI in your company, regardless of sizeKey BenefitsThe course is designed for busy professionals, allowing you to learn at your own paceYou'll gain insights you can apply immediately to your businessIt covers both the potential and the limitations of AI in business settingsGet StartedLevel up on LinkedIn Learning8. AI for Beginners by Microsoft: A Structured Learning PathWhy This Course Builds a Strong AI FoundationMicrosoft's AI for Beginners is a comprehensive 12-week program. It covers core AI concepts in a structured, easy-to-follow format. The course combines theoretical knowledge with hands-on practice through quizzes and labs.What You'll LearnThe basics of AI, machine learning, and data scienceStep-by-step guidance to build a strong knowledge basePractical applications of AI in various business contextsHow to Approach This CourseDedicate 2-3 hours per week to complete the curriculumUse the structured format to gradually build your confidence in AI conceptsApply what you learn to real business scenarios as you progressGet StartedBuild foundations with Microsoft9. AI for Business Specialization by UPenn: Strategic Thinking with AIWhy This Course Is Perfect for Business LeadersThis specialization focuses on AI's transformative impact on core business functions. It covers how AI is changing marketing, finance, and operations.What You'll LearnHow to build an AI strategy tailored to your business needsWays to leverage AI to drive innovation across different departmentsTechniques for integrating AI into your business modelHow to Make the Most of This CourseTake detailed notes on how each module applies to your own business challengesUse the specialization to develop a long-term AI vision for your companyNetwork with other business leaders taking the course to share insights and experiencesGet StartedScale up with UPenn's business focusConclusion: Your Path to Becoming an AI-powered EntrepreneurWe've covered nine fantastic free courses that can transform you into an AI-savvy entrepreneur. Let's recap:Google AI Essentials: Perfect for beginners, focusing on practical AI applications.Introduction to Generative AI: A quick start to understand the basics of generative AI.Generative AI with Large Language Models: For those ready to dive into the technical side.AI for Everyone: A non-technical introduction to AI's business impact.Generative AI: Introduction and Applications: A broad look at generative AI across industries.Generative AI for Everyone: Focused on boosting productivity with AI tools.Generative AI for Business Leaders: Tailored for integrating AI into business operations.AI for Beginners: A structured path to build a strong AI foundation.AI for Business Specialization: Strategic thinking about AI in business functions.Remember, you don't need to tackle all these courses at once. Start small and build your knowledge gradually. Pick the course that aligns best with your current needs and business goals.Embracing AI is not just about staying competitive; it's about opening new doors for innovation and growth. These courses will help you see opportunities where AI can solve problems, improve efficiency, and create value for your business.The AI revolution is happening now. The sooner you start learning, the better positioned you'll be to lead in this new era. Each step you take in understanding AI is a step towards future-proofing your business.So, what are you waiting for? Choose a course, dive in, and start your journey to becoming an AI-powered entrepreneur today. The future of your business may depend on it.MORE ARTICLES FOR YOUHumanizzer Fastpass Bundle – OTO1 to OTO4: Get (Humanizzer + All OTOs) Fastpass for Massive 75% Discount Available Limited-Time OneHumanizzer Review: Build Lifelike Human AI Agents That Talk, Listen & Engage Face-To-Face!—In Your Voice, Just Like You!EasyListDetox App Review: A Windows tool with Giveaway Rights for effortlessly cleaning your email lists of duplicates, invalid, and disposable addresses. Simple, efficient, and time-savingAI Copy Kit Review: Google’s Latest AI Tech Tensorflow (Tf) Create Jaw-Dropping And Advanced Ultra HD Videos, Ultra Shorts, 4K Images, Voiceovers, and Any Other GPT 4-Powered Amazing Content In Minutes Without Any Complicated Tools!From Good to Great: 15 Books to Inspire Personal and Business TransformationFTC Affiliate Commission Disclaimer: Some links in this article may earn us a commission if you make a purchase. This doesn't affect our recommendations.