AI 和 Machine Learning

AI 和 Machine Learning 正在推动各行各业的创新。通过这些资源了解有关 Generative AI、Large Language Model 等的更多信息。

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[Featured Image] An AI engineer works on a laptop, using neural network weights to train AI.

Neural Network Weights: A Comprehensive Guide

Neural network weights help AI models make complex decisions and manipulate input data. Explore how neural networks work, how weights empower machine learning, and how to overcome common neural network challenges.

February 19, 2025

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[Featured image] A machine learning engineer sits at his office computer and researches bias versus variance in machine learning.

Bias vs. Variance in Machine Learning: What’s the Difference?

Bias and variance are both prediction errors in machine learning. Learn more about the tradeoffs associated with minimizing bias and variance in machine learning.

February 19, 2025

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[Featured Image] A data visualization specialist presents visuals to two team leaders in a conference room, using the graphics to bring data analysis to life.

What Is a Data Visualization Specialist?

Discover the dynamic career of data visualization specialists, including what you will likely do daily and the background you need to begin.

February 18, 2025

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[Featured Image] An AI engineer works on a laptop, using neural network weights to train AI.

Neural Network Weights: A Comprehensive Guide

Neural network weights help AI models make complex decisions and manipulate input data. Explore how neural networks work, how weights empower machine learning, and how to overcome common neural network challenges.

February 19, 2025

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[Featured image] A machine learning engineer sits at his office computer and researches bias versus variance in machine learning.

Bias vs. Variance in Machine Learning: What’s the Difference?

Bias and variance are both prediction errors in machine learning. Learn more about the tradeoffs associated with minimizing bias and variance in machine learning.

February 19, 2025

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AI and machine learning courses

状态：免费试用

Google

您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, AI Enablement, AI Security, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Evaluation, Personally Identifiable Information, Process Optimization, Operational Efficiency, Emerging Technologies, Data Security, Critical Thinking, Analysis, Natural Language Processing, Innovation, Data-Driven Decision-Making

4.8
评分, 4.8 星，最高 5 星
1.8万 条评论

初级 · 专项课程 · 1-3 个月

状态：免费试用

IBM

您将获得的技能: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

4.7
评分, 4.7 星，最高 5 星
2.2万 条评论

初级 · 课程 · 1-4 周

状态：免费试用

Advancing Women in Tech

您将获得的技能: Prompt Patterns, AI Enablement

初级 · 课程 · 1-4 周

[Featured image] An AI research scientist is discovering new ways to incorporate AI to solve complex problems.

What Is an AI Research Scientist? 2026 Career Guide

Discover the role of an AI research scientist. Explore duties and responsibilities, essential skills, and the education and experience necessary for a career in this role.

February 18, 2025

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[Featured Image] A young family of four sits at a dining table as one child uses a virtual assistant, one of many deep learning examples you may use daily.

Exploring Deep Learning Examples

Dive into the world of deep learning with real-world deep learning examples. Discover how this technology is shaping industries and enhancing peoples’ daily lives.

February 18, 2025

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[Featured Image] A learner completes a lesson outlining computer vision vs. machine learning as part of their studies.

Computer Vision vs. Machine Learning: What’s the Difference?

Uncover the differences between computer vision versus machine learning. Learn about each topic in detail, explore typical applications, compare advantages and challenges, and discover where to learn more.

February 18, 2025

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[Featured Image]: A woman shares with a group insights on the power of predictive analytics vs. machine learning to drive informed decisions.

Predictive Analytics vs. Machine Learning: What’s the Difference?

Discover the differences between predictive analytics and machine learning, two core concepts in data science.

February 18, 2025

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[Featured Image] A man is on a computer discovering a generative ai learning path to pursue.

What Is a Generative AI Learning Path?

Generative AI is a steadily growing form of artificial intelligence that can create a variety of content in a matter of seconds. Learn more about how to start down a generative AI learning path and begin your educational journey on this rising technology.

February 14, 2025

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[Featured Image] A young female AI professional sitting at a white table in an office having an interview with deep learning interview questions and shaking the hand of the person interviewing her.

8 Common Deep Learning Interview Questions

Practice these common deep learning interview questions to help you prepare for a job interview as you pursue your career in deep learning and artificial intelligence.

February 14, 2025

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[Featured image] Project team members sit at a boardroom table with their laptops and tablets, discussing the project using conceptual data modeling.

What Is Conceptual Data Modeling?

Conceptual data modeling is the process of placing data values in relational models to get a high-level overview of their relationships. Learn how conceptual data modeling can help you make sense of your company's data.

February 13, 2025

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[Featured Images] A happy woman standing up in an office at a table shaking the hand of another woman who has finished asking Hadoop interview questions with a male coworker.

10 Hadoop Interview Questions and Answers

Learn more about common Hadoop interview questions and how to answer them, as well as some useful tips to help you prepare for your interview.

February 13, 2025

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[Featured Image] Two engineers are meeting in an interview for computer vision.

6 Computer Vision Interview Questions and Sample Answers

Reviewing potential computer vision interview questions can help you perform confidently in an interview. Consider six example interview questions, what the interviewer really wants to know, and examples of how to answer.

February 12, 2025

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[Featured Image] A data visualization specialist presents visuals to two team leaders in a conference room, using the graphics to bring data analysis to life.

What Is a Data Visualization Specialist?

Discover the dynamic career of data visualization specialists, including what you will likely do daily and the background you need to begin.

February 18, 2025

文章

[Featured image] An AI research scientist is discovering new ways to incorporate AI to solve complex problems.

What Is an AI Research Scientist? 2026 Career Guide

Discover the role of an AI research scientist. Explore duties and responsibilities, essential skills, and the education and experience necessary for a career in this role.

February 18, 2025

文章

[Featured Image] A young family of four sits at a dining table as one child uses a virtual assistant, one of many deep learning examples you may use daily.

Exploring Deep Learning Examples

Dive into the world of deep learning with real-world deep learning examples. Discover how this technology is shaping industries and enhancing peoples’ daily lives.

February 18, 2025

文章

[Featured Image] A learner completes a lesson outlining computer vision vs. machine learning as part of their studies.

Computer Vision vs. Machine Learning: What’s the Difference?

Uncover the differences between computer vision versus machine learning. Learn about each topic in detail, explore typical applications, compare advantages and challenges, and discover where to learn more.

February 18, 2025

文章

[Featured Image]: A woman shares with a group insights on the power of predictive analytics vs. machine learning to drive informed decisions.

Predictive Analytics vs. Machine Learning: What’s the Difference?

Discover the differences between predictive analytics and machine learning, two core concepts in data science.

February 18, 2025

文章

[Featured Image] A man is on a computer discovering a generative ai learning path to pursue.

What Is a Generative AI Learning Path?

Generative AI is a steadily growing form of artificial intelligence that can create a variety of content in a matter of seconds. Learn more about how to start down a generative AI learning path and begin your educational journey on this rising technology.

February 14, 2025

文章

[Featured Image] A young female AI professional sitting at a white table in an office having an interview with deep learning interview questions and shaking the hand of the person interviewing her.

8 Common Deep Learning Interview Questions

Practice these common deep learning interview questions to help you prepare for a job interview as you pursue your career in deep learning and artificial intelligence.

February 14, 2025

文章

[Featured image] Project team members sit at a boardroom table with their laptops and tablets, discussing the project using conceptual data modeling.

What Is Conceptual Data Modeling?

Conceptual data modeling is the process of placing data values in relational models to get a high-level overview of their relationships. Learn how conceptual data modeling can help you make sense of your company's data.

February 13, 2025

文章

[Featured Images] A happy woman standing up in an office at a table shaking the hand of another woman who has finished asking Hadoop interview questions with a male coworker.

10 Hadoop Interview Questions and Answers

Learn more about common Hadoop interview questions and how to answer them, as well as some useful tips to help you prepare for your interview.

February 13, 2025

文章

[Featured Image] Two engineers are meeting in an interview for computer vision.

6 Computer Vision Interview Questions and Sample Answers

Reviewing potential computer vision interview questions can help you perform confidently in an interview. Consider six example interview questions, what the interviewer really wants to know, and examples of how to answer.

February 12, 2025

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GenAI is poised to be the largest technological revolution since the internet. In today's technologically evolving world, professionals skilled in AI and machine learning are in high demand across many industries. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within AI and machine learning to start your journey in this exciting and rewarding domain.

Ready to start learning? Explore our catalog of artificial intelligence, machine learning, and natural language processing courses for beginners and experienced professionals.

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