Cargando…
Python for machine learning : the complete beginner's course.
Learn Python programming and Scikit-Learn applied to machine learning regression in this comprehensive guide for beginners About This Video Learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence Build artificial neural networks wi...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing,
[2021]
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a22000007i 4500 | ||
|---|---|---|---|
| 001 | OR_on1346541233 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | vz czazuu | ||
| 007 | cr cnannnuuuuu | ||
| 008 | 221004s2022 xx 149 o vleng d | ||
| 040 | |a ORMDA |b eng |e rda |e pn |c ORMDA |d OCLCF |d OCLCO | ||
| 019 | |a 1362790247 | ||
| 020 | |a 9781804619308 |q (electronic video) | ||
| 020 | |a 1804619302 |q (electronic video) | ||
| 029 | 1 | |a AU@ |b 000072806816 | |
| 035 | |a (OCoLC)1346541233 |z (OCoLC)1362790247 | ||
| 037 | |a 9781804619308 |b O'Reilly Media | ||
| 050 | 4 | |a Q325.5 | |
| 082 | 0 | 4 | |a 006.3/1 |2 23/eng/20221004 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Python for machine learning : |b the complete beginner's course. |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Place of publication not identified] : |b Packt Publishing, |c [2021] | |
| 300 | |a 1 online resource (1 video file (2 hr., 29 min.)) : |b sound, color. | ||
| 306 | |a 022900 | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 344 | |a digital |2 rdatr | ||
| 347 | |a video file |2 rdaft | ||
| 380 | |a Instructional films |2 lcgft | ||
| 500 | |a "Published in September 2022." | ||
| 520 | |a Learn Python programming and Scikit-Learn applied to machine learning regression in this comprehensive guide for beginners About This Video Learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence Build artificial neural networks with TensorFlow and Keras Make predictions using linear regression, polynomial regression, and multivariate regression In Detail Machine learning is a branch of computer science in which you can use mathematical input to develop complicated models that fulfil various roles. Python is a popular choice for building machine learning models because of the large number of libraries available. This course will walk you through an astonishing combination of Python and machine learning, teaching you the fundamentals of machine learning so you can construct your own projects. We will begin by studying Python programming and applying Scikit-Learn to machine learning regression in this course. After that, we will look at the theory underpinning simple and multiple linear regression algorithms. Following that, we will look at how to solve linear and logistic regression issues. Later, we will use sklearn to learn both the theory and the actual application of logistic regression. We will also go into the math underpinning decision trees. Finally, you will learn about the various clustering algorithms. By the end of this course, you will be able to use these algorithms in the real world. Audience This course is for anyone interested in pursuing a career in machine learning, as well as Python programmers who want to add machine learning skills to their resume. This course will also benefit technologists who want to learn more about how machine learning works in the real world. This course requires familiarity with the fundamentals of Python, as well as readiness, flexibility, a will to learn, and, most importantly, basic mathematical skills. | ||
| 588 | 0 | |a Online resource; title from title details screen (O'Reilly, viewed October 4, 2022). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 655 | 7 | |a Instructional films |2 fast | |
| 655 | 7 | |a Internet videos |2 fast | |
| 655 | 7 | |a Nonfiction films |2 fast | |
| 655 | 7 | |a Instructional films. |2 lcgft | |
| 655 | 7 | |a Nonfiction films. |2 lcgft | |
| 655 | 7 | |a Internet videos. |2 lcgft | |
| 655 | 7 | |a Films de formation. |2 rvmgf | |
| 655 | 7 | |a Films autres que de fiction. |2 rvmgf | |
| 655 | 7 | |a Vidéos sur Internet. |2 rvmgf | |
| 710 | 2 | |a Packt Publishing, |e publisher. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781804619308/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||