Captivating voice, easy to follow at a rapid pace, get some paper and fasten your seat–belts. I’m enjoying every second of this. Literally, I bought this course for specific lectures of the Python + Tensorflow aspects, and after 2 hours I already know way more than after 10 hours of the Zero–to–Deep–Learning. – Philip M.
Machine learning, neural networks, deep learning, and artificial intelligence are all around us, and they’re not going away. I will show you how to get a grasp on this ever–growing technology in this course.
This course was funded by a wildly successful Kickstarter!
With this course I will help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily.
No experience? No problem
I’ll teach you all fundamentals of PyCharm, Python, TensorFlow. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. We will build and run Python projects.
I teach through practical examples, follow–alongs, and over–the–shoulder tutorials. You won’t need to go anywhere else.
Build Machine Learning Models
By the end of this course, you will have tons of machine learning projects on your belt. You will know how to build complete computational models and train models to make predictions.
Instructor Details
Courses : 91
Specification: Machine Learning: Build Apps & Predictions & Analyze Data
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4 reviews for Machine Learning: Build Apps & Predictions & Analyze Data
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Price | $9.99 |
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Provider | |
Duration | 27 hours |
Year | 2018 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | No |
$84.99 $9.99
Philip Murray –
Captivating voice, easy to follow at a rapid pace, get some paper and fasten your seat belts. I’m enjoying every second of this. Literally, I bought this course for specific lectures of the Python + Tensorflow aspects, and after 2 hours I already know way more than after 10 hours of the Zero to Deep Learning.
Raymund Francis Gamboa –
It is great that the lessons are built on top of the previous lessons.
Daniel Merbt –
Speaking a tiny bit to fast in my opinion. Other than that it seems good so far.
Rakesh Panda –
ok