TITLE stringlengths 61 100 | URL stringlengths 43 43 | TRANSCRIPTION stringlengths 233 3.05k | transcription_length int64 43 500 | text stringlengths 316 3.16k | ada_embedding stringlengths 34.3k 34.6k |
|---|---|---|---|---|---|
1.1 Machine Learning Overview | Welcome to machine learning!--[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=y8JgiWcUnU8 | Welcome to machine learning. What is machine learning? You probably use it many times a day without even knowing it. Anytime you want to find out something like, how do I make a sushi roll, you can do a web search on Google, Bing, or Baidu to find out. And that works so well because their machine learning software has ... | 415 | 1.1 Machine Learning Overview | Welcome to machine learning!--[Machine Learning | Andrew Ng]: Welcome to machine learning. What is machine learning? You probably use it many times a day without even knowing it. Anytime you want to find out something like, how do I make a sushi roll, you can do a web search on Google, B... | [0.0028585297986865044, -0.0013303899904713035, 0.025299115106463432, -0.017389122396707535, -0.004723487421870232, -0.0010667236056178808, -0.0027845746371895075, 0.0138521334156394, -0.02544059418141842, -0.02927340380847454, 0.007961439900100231, 0.012585247866809368, -0.02544059418141842, 0.004774934612214565, 0.00... |
1.2 Machine Learning Overview | What is machine learning? --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=AISftYVyS50 | So, what is machine learning? In this video you learn the definition of what it is, and also get a sense of when you might want to apply it. Let's take a look together. Here's the definition of what is machine learning that is attributed to Arthur Samuel. He defined machine learning as the feeble study that gives compu... | 500 | 1.2 Machine Learning Overview | What is machine learning? --[Machine Learning | Andrew Ng]: So, what is machine learning? In this video you learn the definition of what it is, and also get a sense of when you might want to apply it. Let's take a look together. Here's the definition of what is machine learning that is ... | [-0.00987097155302763, 0.009807328693568707, 0.01583428494632244, -0.020760225132107735, -0.006392901763319969, 0.004108131397515535, -0.0011622734600678086, 0.004461348056793213, -0.03510527312755585, -0.022885888814926147, 0.011207466945052147, 0.02558433637022972, -0.023713242262601852, 0.007458915933966637, 0.00057... |
1.2 Machine Learning Overview | What is machine learning? --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=AISftYVyS50 | to spend a lot of time on in this specialization is practical advice for applying learning algorithms. This is something I feel pretty strongly about. Teaching about learning algorithms is like giving someone a set of tools and equally important or even more important than making sure you have great tools is making sur... | 397 | 1.2 Machine Learning Overview | What is machine learning? --[Machine Learning | Andrew Ng]: to spend a lot of time on in this specialization is practical advice for applying learning algorithms. This is something I feel pretty strongly about. Teaching about learning algorithms is like giving someone a set of tools and... | [0.009558671154081821, 0.005770251154899597, 0.04147188737988472, -0.031097544357180595, -0.0039286138489842415, -0.005158496089279652, 0.00041341251926496625, 0.009896410629153252, -0.02984854392707348, -0.024597646668553352, 0.007608702406287193, 0.02829366736114025, -0.02239277958869934, 0.008048401214182377, 0.0069... |
1.3 Machine Learning Overview | Applications of machine learning -- [Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=hHYcNPfbBXQ | In this class, you learn about the state of the art and also practice implementing machine learning algorithms yourself. You learn about the most important machine learning algorithms, some of which are exactly what's being used in large AI or large tech companies today, and you get a sense of what is the state of the ... | 500 | 1.3 Machine Learning Overview | Applications of machine learning -- [Machine Learning | Andrew Ng]: In this class, you learn about the state of the art and also practice implementing machine learning algorithms yourself. You learn about the most important machine learning algorithms, some of which are exactly what's b... | [-0.0030387723818421364, 0.005705186165869236, 0.02701706811785698, -0.017264502122998238, 0.001072555547580123, -0.00518712168559432, -0.006482283119112253, 0.02621406689286232, -0.03657535836100578, -0.029037518426775932, 0.0008701866026967764, 0.019103631377220154, -0.005154742393642664, 0.000887995061930269, 0.0048... |
"1.3 Machine Learning Overview | Applications of machine learning -- [Machine Learning | Andrew Ng](...TRUNCATED) | https://www.youtube.com/watch?v=hHYcNPfbBXQ | "by McKinsey, AI and machine learning is estimated to create an additional 13 trillion US dollars of(...TRUNCATED) | 201 | "1.3 Machine Learning Overview | Applications of machine learning -- [Machine Learning | Andrew Ng](...TRUNCATED) | "[-0.006752273999154568, -0.01578589901328087, 0.032096244394779205, -0.02238083817064762, 0.0088238(...TRUNCATED) |
1.4 Machine Learning Overview | Supervised learning part 1 --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=EZN_uM3J3kI | "Machine learning is creating tremendous economic value today. I think 99% of the economic value cre(...TRUNCATED) | 500 | "1.4 Machine Learning Overview | Supervised learning part 1 --[Machine Learning | Andrew Ng]: Machin(...TRUNCATED) | "[-0.004761981312185526, 0.0003801513812504709, 0.02268962934613228, -0.022379696369171143, -0.00830(...TRUNCATED) |
1.4 Machine Learning Overview | Supervised learning part 1 --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=EZN_uM3J3kI | "Y pairs, it can then take a brand new Input X, something it's never seen before, and try to produce(...TRUNCATED) | 500 | "1.4 Machine Learning Overview | Supervised learning part 1 --[Machine Learning | Andrew Ng]: Y pair(...TRUNCATED) | "[0.008950799703598022, -0.0010360615560784936, 0.020370785146951675, -0.01767011359333992, 0.000155(...TRUNCATED) |
1.5 Machine Learning Overview | Supervised learning part 2 --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=l16C3PKiHKg | "So, supervised learning algorithms learn to predict input-output or x-to-y mappings, and in the las(...TRUNCATED) | 500 | "1.5 Machine Learning Overview | Supervised learning part 2 --[Machine Learning | Andrew Ng]: So, su(...TRUNCATED) | "[0.005782643333077431, 0.009697840549051762, 0.018906282261013985, -0.026788193732500076, 0.0030973(...TRUNCATED) |
1.5 Machine Learning Overview | Supervised learning part 2 --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=l16C3PKiHKg | "So to summarize, classification algorithms predict categories. Categories don't have to be numbers.(...TRUNCATED) | 482 | "1.5 Machine Learning Overview | Supervised learning part 2 --[Machine Learning | Andrew Ng]: So to (...TRUNCATED) | "[0.01154077798128128, 0.01629061996936798, 0.025103576481342316, -0.02418794482946396, -0.008088083(...TRUNCATED) |
1.6 Machine Learning Overview | Unsupervised learning part 1 --[Machine Learning | Andrew Ng] | https://www.youtube.com/watch?v=yzAFnfHYH9E | "After supervised learning, the most widely used form of machine learning is unsupervised learning. (...TRUNCATED) | 500 | "1.6 Machine Learning Overview | Unsupervised learning part 1 --[Machine Learning | Andrew Ng]: Afte(...TRUNCATED) | "[-0.006049607880413532, 0.011759386397898197, 0.03377778083086014, -0.02621176280081272, 0.00130321(...TRUNCATED) |
End of preview. Expand in Data Studio
- Downloads last month
- 8