January 27, 2020 at 8:42 am #2144475
How should I begin learning Artificial intelligence?Locked
by bijuaugustian2267 · about 2 years, 10 months ago
Tags: It employment
I have a strong desire to get in to the field of AI.Where and how I should begin.Whether it will give me a good future.This conversation is currently closed to new comments.
February 26, 2020 at 11:26 am #2423599
If You Want To Learn How To Engineer AI…
by engineer.ai · about 2 years, 9 months ago
You should search for a good school based on where you are located. The field happens to be a broad and elaborate one. There is no one avenue you can explore if you wish to engineer ai. I would say, start by learning coding. Then soon, get an insider knowledge of what’s a good place to learn. I’m pretty sure you can find a lot of sources being around people of the same field.
May 20, 2020 at 2:26 pm #2418222
How should I begin learning Artificial intelligence?
by marin smith · about 2 years, 6 months ago
The basic understanding of AI and machine learning becomes more and more valuable to learn artificial intelligence from home and start applying your knowledge in practice, creating simple machine learning solutions
Pick a topic you are interested in
Find a quick solution
Improve your simple solution
Share your solution
June 29, 2020 at 2:19 pm #2418069
I also want to learn AI in Depth
by elvisgomes4292 · about 2 years, 5 months ago
I also want to learn AI in more details. I know the basics of AI. Is there any tutorials to learn AI in Depth?
July 17, 2020 at 7:12 pm #2417951
July 17, 2020 at 7:14 pm #2417950
by probably_wrong · about 2 years, 4 months ago
so, just watch some machine learning tutorials, or go to stanford, either one
September 7, 2020 at 10:13 am #2421969
How to learn AI
by jackdanielsking2 · about 2 years, 3 months ago
Here are the things which are very essential for learning AI
1. A Solid Background in Mathematics Is Just… Crucial
2.Narrow Your Focus: What Do You Want to Build?
3. Learn By Doing: Try to Solve a Simple Problem for a Start
4. Get Started with Deep Learning: Learn About Artificial Neural 5.NetworksChoose Your Programming Language: Consider Performance and Libraries Availability
6.Learn Computational Learning Theory to Get into AI Development
7.Build a Powerful Computing HardWare or Use a Cloud-Based One
8. Get Familiar with Most Machine Learning Algorithms
9.Enter a Kaggle Competition
Then you can start by these online courses:
2 Free Online Courses to Try Your Hand At
So, here I am now, ready to give you 2 recommendations:
Stanford University — Machine Learning: Google Brain’s founder, Andre NG, is teaching this course; it’s loaded with real-time examples of AI-driven technologies, with valuable information that will help you gain a better understanding of how neural networks learn…
Learn with Google AI: a Google-powered project including a machine learning course for newcomers (incorporating the TensorFlow library as well)
I hope this post is helpful and informative.
December 16, 2020 at 5:37 am #2419178
by rashmitabaliyarsingh · about 1 year, 11 months ago
Getting in Artificial Intelligence will be the best ever decision you will decide because this is a vast field, no limitation is there you can explore your ideas and concept live this is the most innovative field you can go for it.
December 28, 2020 at 5:31 am #2418945
How should I begin learning Artificial intelligence?
by rvkanth1996 · about 1 year, 11 months ago
1. Choose the topic of interest
First, choose a topic that interests you. This will help you stay motivated and participate in the learning process. Focus on a problem and find a solution instead of just passively reading everything you can find on the Internet.
2. Find a quick fix
The key is to find any basic solution that can solve the problem. You need an algorithm to process data in a way understandable by machine learning, training simple models, providing results and evaluating their performance.
3. Improve your simple solution
Once you have a simple foundation, it’s time to get creative. Try to improve all components and evaluate the changes to determine if the improvements are worth your time and effort. For example, sometimes improving pre-processing and data cleansing will bring a greater return on investment than improving the learning model itself.
4. Share your solution
Write your solution and share it to get feedback. Not only will you receive valuable advice from others, but it will also be the first record in your portfolio.
5. Repeat steps 1 through 4 for other questions
Choose different questions and perform the same steps for each task. If you start using tabular data, choose a question that involves images or unstructured text. It is also important to understand how to ask questions correctly for machine learning. Developers often need to turn some abstract business goals into specific problems suited to the details of machine learning.
6. Complete the Kaggle competition
This competition allows you to test your skills and solve the same problems that many other engineers are solving. You will have to try different methods and choose the most effective solution. This game can also teach you how to collaborate because you can join a large community and communicate with people on the forum, share your ideas and learn from others.
7. Use machine learning professionally
You need to determine what your career goals are and create your own investment portfolio. If you are not yet ready to apply for a machine learning job, look for more projects that will impress your portfolio. Join the citizen hackathon and look for data-related positions in community service.
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April 7, 2021 at 9:29 am #2413588
by codiantsoftware · about 1 year, 8 months ago
To start learning AI start with some introductory Python courses before moving into data science, machine learning and AI. DataCamp is great for beginners learning Python but wanting to learn it with a data science and machine learning focus.