Programmer Selection: TensorFlow and ML Top 5 Courses

Time:2019-9-28

Abstract:If you want to learn machine learning, how can you do without these resources? (TFboy Exercises)

If you’re curious about AI, data science and machine learning, I’m sure you’ve heard about TensorFlow, Google’s machine learning API, which they’ve used to develop Rank Brain algorithms for Google search. TensorFlow is one of the most popular machine learning APIs, which allows you to perform multiple practical tasks automatically. For example, you can use it for image detection. In fact, a Japanese farmer turned into a programmer who used it to test the best cucumbers, a skill that usually only his father and mother could do with years of experience. This is the powerful function of machine learning. Now everyone can use TensorFlow. If you haven’t read this story yet, I strongly recommend that you read it. In fact, this is one of the few stories that motivated me to learn more about machine learning.

One of my goals in 2018 is to explore machine learning and data science, which is why I am learning Python. You may have read several Python posts, such as learning Python’s best course on this blog.

Python has many very useful and popular machine learning APIs, such as TensorFlow, NumPy, Pandas, Sci-Kit, etc., but for one obvious reason, I’m focusing on TensorFlow now, because it’s really useful.

TensorFlow has a lot of online information, and I believe it will become one of the major skills in the near future. Google has also released TensorFlow.js, a JavaScript library for training and deploying machine learning models.

In this article, I will share some of the best online courses for programmers to learn TensorFlow and machine learning.

Top 5 TensorFlow and Machine Learning Courses

Without wasting your time, here are some of the best lessons I have learned online about TensorFlow and machine learning. All these courses not only teach theoretical knowledge, but also practical things. You need to gain some practical experience.

All of these courses are not very expensive, and you can get most of them for less than $10 in Udemy flash promotions. After completing the course, you should be able to continue your study.

A Complete Guide to TensorFlow for in-depth learning using Python

This may be Udemy’s most popular TensorFlow course, with more than 28,268 students registered and thousands scoring 4.5 points. It covers most of TensorFlow and can be used even if you are not familiar with machine learning.

The previous chapters will explain machine learning and how TensorFlow solves practical problems through its neural network.

In this course, you will learn how neural networks work and how to use TensorFlow for classification and regression tasks, such as image classification using convolutional neural networks.

You will also learn how to use Python to build your own neural network from scratch and use Recurrent Neural Networks to perform time series analysis. Overall, using Python to learn the basics of TensorFlow is a good course.

Programmer Selection: TensorFlow and ML Top 5 Courses

Using TensorFlow + Real Business Case for Machine Learning

This is another good course for TensorFlow in Udemy. If you are a beginner, this may be the best course because it will arouse your interest in the complex but exciting world of data science, machine learning and in-depth learning.

The course starts with the basics, but it’s very well explained. This is great for Python developers because the course focuses on using Python’s TenosorFlow. It also teaches you NumPy, another popular machine learning API.

The best part of this course is that after learning the basic knowledge of TensorFlow and machine learning, you will create your own machine learning algorithm.

It is business-centric, which means that you will learn about machine learning and real-world scenarios, such as how to use machine learning to optimize business performance, retain customers, and improve transformation, all of which can be achieved by using real data from real companies.

Programmer Selection: TensorFlow and ML Top 5 Courses

TensorFlow: Introduction

If you have Pluarlsight membership and are looking for courses to start learning TensorFlow, then “TensorFlow: Getting Started” is a good start.

This course will teach you how to install and use TensorFlow, a cutting-edge machine learning library from Google. In addition, you will learn how to use TensorFlow to create a series of machine learning models, ranging from simple linear regression to complex deep neural networks.

This is the biggest benefit of Pluarlsight membership, that is, you can get various courses by paying nominal monthly or annual fees. I joined Pluarlsight to study Spring and Java, but now I’m using other technology courses to learn TensorFlow. If you do not have Pluralsight membership, you can still access the course by registering for a 10-day free trial.

Programmer Selection: TensorFlow and ML Top 5 Courses

Detecting fraud and forecasting stock market through TensorFlow

This is a practical course that will show you what you can achieve with TensorFlow, Google’s advanced machine learning library. It’s great for beginners and programmers who are just beginning to use data science and machine learning.

In this course, you will not only learn about TensorFlow, but also learn how to use it to create a Froud Detection model for credit cards in Python. You will also use Python to create an application that uses data to predict the stock market.

I like project-based courses very much, because you learn more by building meaningful things, and this course is very suitable for this standard. If you also like project-based learning, then this is a perfect TensorFlow course.

Programmer Selection: TensorFlow and ML Top 5 Courses

Beginner’s Guide to Building Neural Networks in TensorFlow

This is a very short course that can teach you Neural Networks and TensorFlow in less than three hours. It’s a crash course in TensorFlow and Neural Networks. You’ll learn the basic grammar of TensorFlow from scratch, Google’s machine learning framework, and then build a neural network in Python code.

The best part of this course is that it also explains how to train and test neural networks, which is the most interesting part of any in-depth learning project.

Programmer Selection: TensorFlow and ML Top 5 Courses

This is some of the best online courses for TensorFlow and machine learning using Python. TensorFlow is a very powerful machine learning API with several real uses. For example, you can use it to detect images, just as you can take a license plate photo, guess the number and look up the owner’s details from the registration database. High-speed cameras on expressways can install this program to detect and send notifications before speeding owners arrive at home. If you need more general courses, you also pay attention to other translations in Yunqi community.

Please accept this basic catalogue of AI – Blog collation series (1)

Those Things about Data Science: Blog Tidy Series (2)

A Manual for Machine Learning: Blog Compilation Series (3)

It’s all here to broaden your horizons – Blog collation series (4)

Manual for in-depth learning (1) – Blog collation series (5)

Necessary Manual for Deep Learning (Part 2) – Blog Collection Series (Part 6)

Programmer Technical Advancement Manual (1)

Programmer Technical Advancement Manual (2)

Other useful programming and software development resources:

Five free Spring framework courses for Java developers;

Learn the first five courses of Web development in 2018.

Five learners of big data and Apache Spark;

Top 10 JavaScript tutorials and courses for Web developers.

Best Apache Kafka Course – 2018;

Five courses will study React Native in 2018.

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