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The fastest growing jobs in the world right now are those related to artificial intelligence and machine learning. That’s according to the World Economic Forum.
This is not surprising, as new technologies are being deployed every day, revolutionizing the way the world operates through automation and machine intelligence.
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In addition to basic skills in mathematics and computer science, as well as soft skills such as problem solving and communication, the core of the field of artificial intelligence and machine learning is programming – specifically Python. This programming language is one of the most requested languages by all technology experts.
Ratinder Paul Singh Ahuja, chief technology officer and vice president of Pure Storage, said Python plays an integral role in the day-to-day tasks of machine learning experts. He singled out its diverse libraries and their associated roles:
- data processing: Pandas and NumPy
- Model construction and training: TensorFlow and PyTorch
- Visualizing data and model results: Matplotlib and Seaborn
- deploy: flask and django
As you can imagine, best practices in the ever-evolving world of artificial intelligence can vary from day to day, task to task, and company to company. Therefore, developing overall fundamental skills and being able to differentiate yourself is very important in this field.
The good news for those who want to learn about the fields of machine learning and Python is that there are seemingly endless ways to acquire knowledge online, even for free.
For those exploring topics on their own, resources like W3Schools, Kaggle, and Google Crash Courses are all great options. Even something as simple as watching a YouTube video and checking GitHub can be useful.
“I think if you focus on core technical skills and differentiating capabilities, I think there are still a lot of opportunities for AI enthusiasts to enter the market,” said Rakesh Anigundi, AMD Ryzen AI product lead.
Anigondi added that because the field and job market are so complex, even companies themselves are trying to figure out the skills that are most useful in building products and solving problems. So doing whatever it takes to stay ahead of the curve can be part of advancing your career.
For those who want to learn more about machine learning in Python, wealth A few options on the market are listed; they are essentially self-paced but vary slightly in price and length.
5 free and paid ways to get ahead in machine learning with Python
freeCodeCamp: Machine Learning with Python
Participants can watch hours of free videos about machine learning. Finally, each course has a multiple-choice study question. Five different challenges are provided to users. Interactive projects include creating a book recommendation engine, a neural network text classifier for text messages, and a cat and dog image classifier.
cost: free
length: Self-paced; 36 lessons + 5 projects
Course examples: Tensorflow; Deep Learning Revealed
HarvardX: Machine learning and artificial intelligence using Python
Hosted by edX, this introductory course allows students to learn machine learning and artificial intelligence directly from two Harvard computer science expert professors. Participants will be exposed to topics such as algorithms, neural networks and natural language processing. Video transcripts are also available in nearly a dozen other languages. For those who want to learn more, the course is part of Harvard University’s Professional Certificate Program in Computer Science in Artificial Intelligence.
cost: Free (certificate costs $299)
length: 6 weeks (4-5 hours per week)
Course learning objectives: Explore advanced data science; train models; examine results; recognize data bias
IBM: Python Machine Learning Course
IBM data scientists teach students about machine learning algorithms, Python classification techniques, and data regression. It is recommended that participants have working knowledge of Python, data analysis, data visualization, and high school mathematics.
cost: $49/month
length: 12 hours (approx.)
Module example: regression; classification; clustering
Stanford University/DeepLearning.ai: Machine Learning Specialization
Instructors from Stanford University and DeepLearning.ai (including renowned AI and education technology leader Andrew Ng) guide students through the basics of machine learning through nearly 100 hours of content. It also focuses on real-world applications of artificial intelligence, especially in Silicon Valley. It is recommended that participants have some basic coding experience and high school math knowledge.
cost: $49/month
length: 2 months (10 hours/week)
Course examples: Supervised machine learning: regression and classification; advanced learning algorithms; unsupervised learning, recommendation, reinforcement learning
University of Michigan: Applied Machine Learning with Python
Professors from the University of Michigan School of Information and Engineering teach students the ins and outs of machine learning and discuss regression, classification, neural networks, and more. This course is suitable for individuals who already have some knowledge in the field of data and artificial intelligence. It is part of a larger major focused on data science methods and techniques.
cost: $49/month
length: 31 hours (approx.)
Course examples: Machine learning basics; supervised machine learning; evaluation
See all wealth’s Degree program rankingsand learn more about the specific career path.
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