AI News, 10 Books to Learn Machine Learning artificial intelligence
What previous knowledge do I need for the Hundred-Page Machine Learning book?
Or you’re familiar with applying the tools of machine learning but you want to make sure you’re not missing any.
Having a little knowledge about math, probability and statistics would be helpful but The Hundred-Page Machine Learning Book has been written a way that you’ll get most of these as you go.
Machine learning is used to recommend content to you online, it helps maintain your phone's battery, it powers the booking system you used for your last flight.
Now in the space of a day, or longer if you’re like me, you’ll be able to decipher what headlines you should pay attention to and the ones you shouldn’t.
Or in machine learning terms, the global minimum from the local minimum — don’t worry the book covers this.
And reinforcement learning involves teaching an agent (another word for computer program) to navigate a space based on rules and feedback defined by that space.
A computer program (agent) which moves chess pieces (navigate) around a chessboard (space) and is rewarded for winning (feedback) is a good example.
10 of the Best Tensorflow Courses to Learn Machine Learning from Coursera and Udemy
In fact, a Japanese farmer turned programmer used it to detect the best quality cucumber, which only his father and mother can do even with their years of experience.
You might have seen a couple of python posts like best courses to learn Python in this blog, which I have been using to learn Python this year.
If you are a first-timer, this is probably the best course because it will generate your interest in the complex but exciting world of Data Science, Machine Learning, and Deep learning.
how to use Machine Learning to optimize business performance, retain customers, improve conversions, etc, all by leveraging the real data acquired by real companies.
You'll learn how you can use TensorFlow to create a range of Machine Learning models from simple linear regression to complex deep neural networks.
You will start from scratch by learning the basic syntax of TensorFlow, Google's Machine Learning framework, and later build a neural network in Python code.
The best part of this course is that it also explains how you can train and test your neural network, the most interesting part of doing any Deep Learning project.
In this four-course Specialization, you'll not only explore exciting opportunities for AI applications but also learn how to build and train neural networks.
You will also learn about how to improve a network's performance using convolutions as you train it to identify real-world images.
You'll teach machines to understand, analyze, and respond to human speech with natural language processing systems, process text, represent sentences as vectors, and input data to a neural network.
The courses are free-to-audit but if you need certification you need to pay some money but if you complete the specialization in 7 days, you can still cancel and get a certificate for free, but if you like this specialization and appreciate Coursera, by all means, you should buy it.
Machine Learning with TensorFlow on Google Cloud Platform Specialization This is another awesome resource to learn TensorFlow and Machine learning but on Google Cloud, which provides powerful TensorFlow infrastructure for advanced deep learning model training.
This specialization is one of the best for beginners and it contains the following five courses which will teach you a lot of things about TensorFlow and machine learning. 1.
5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs.
This specialization picks up where 'Machine Learning on GCP' left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text.
Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
For example, you can use it to detect images like you can take pictures of number plates and then guess the number and find car owner details from the registration database.
Speed cameras in the highway can have this program installed to detect and send notifications to speeding car owners before they reach home.
- If you need some free courses to kick-start your Machine learning and Deep learnign journey, then you can also take a look at this 5 FREE Machine Learning Courses from Udemy, Coursera, Pluralsight etc to startwith.
- On Saturday, October 19, 2019
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