What to Learn After Python for Machine Learning

Python is a general-purpose programming language used for web development, data analytics, and data science. Python can be used for machine learning, which builds systems that automatically perform tasks by leveraging data. If you already know how to use Python for machine learning, you might consider learningother programming languages used in machine learning, or learning other data science skills. We’ll cover related programming languages and other data science skills below so you have a clear understanding of what skill you want to tackle next. 

What is Python for Machine Learning?

Python is an open-source, general-purpose programming language first developed in 1991. Because Python is open-source, it is free and publicly available for anyone to use. Python can be used to build websites, develop software, conduct data analysis, and automate tasks using artificial intelligence (AI) and machine learning. 

Machine learning enables computer systems to automatically learn and adapt without manual input. The system does this by using statistical models and algorithms to detect patterns in data. Python’s libraries and frameworks, along with the coding language’s platform independence, popularity and community, concise and readable code, flexibility, and consistency, make it a perfect fit for machine learning. 

Read more about what Python is and why you should learn it for machine learning.

What Can You Do with Python for Machine Learning?

Python is a general-purpose programming language that you can use to create data visualizations, write programs for machine learning, analyze data, make file directories, build apps, and more. Because of its many applications in using and managing data, Data Scientists must have a thorough knowledge of Python programming and its uses. 

Python for machine learning is used to personalize and improve user experiences. Machine learning can automate customer support, detect fraudulent transactions, recommend products, refine search engine results, automate translation, recommend music, and predict the effectiveness of drug treatments. There are countless uses for machine learning and demand is only increasing, making now an opportune time to learn Python for machine learning.

Learn Java

Java is a general-purpose, class-based, concurrent, and object-oriented programming language that is considered a beginner-friendly programming language to learn. Java has several libraries used for artificial intelligence and machine learning. These libraries include: 

• Apache Mahout: used for its scalable machine learning library.
• Weka: used for general-purpose machine learning. 
• Mallet: a specialized toolkit for natural language processing.
• Deeplearning4j: used for deep learning. 
• MOA: an open-source framework for data stream mining that includes machine learning algorithms and evaluation tools.
• Spark MLlib: accelerates the overall performance and scalability of processing large quantities of data.
• The Encog Machine Learning Framework: a Java and C# machine learning framework.

You can explore live online and in-person Java classes with Noble Desktop’s Classes Near Me tool.

Learn R Programming

R is a programming language used to create high-quality charts, graphics, and other data visualizations, making it an excellent tool for data science reports. R programming also has more advanced packages than Python for machine learning projects. The R programming language is challenging and considered difficult to learn, but has many machine learning applications, making it an important skill for those interested in machine learning to obtain. Because of how difficult learning R programming can be, most students will benefit by taking an instructor-led course. The Classes Near Me tool provides information about live online and in-person course offerings including tuition, course length, locations, and more so that you can easily compare R programming classes. 

Earn a Data Science Certificate

Machine learning is a subset of artificial intelligence, a major field of interest among Data Scientists and Data Analysts. If you want to gain machine learning skills in pursuit of a data science career, you can enroll in a data science certificate program to learn Python programming fundamentals, machine learning skills, and other crucial data science skills in a single program. 

The Data Science Certificate program from Noble Desktop prepares you for a career as a Data Analyst or a Data Scientist. The program begins by covering the fundamentals of Python programming. Next, you will learn to use SQL. The program also teaches Python for automation, data visualization, and machine learning. You will complete real-world projects under the guidance of an expert instructor, develop a professional portfolio, and receive other job search assistance to help you launch a career in data science. You will receive individual and personalized feedback through this program’s small class sizes and 1-on-1 mentorship. Flexible financing options reduce upfront costs and a free retake is included in the program.

With a data science certificate, you can launch a career as a Data Scientist, Python Engineer, or Data Analyst. These careers pay, on average, upwards of $77,000 per year. The U.S. Bureau of Labor Statistics estimates an astounding 36% job growth over the coming decade in the field of data science, making now an excellent time to pursue a career in this field.

Key Insights

• If you want to learn other machine learning programming languages in addition to Python, you can explore Java and R programming. 
• A data science certificate course covers the crucial data science skills needed to launch a career in this rapidly-growing field.
• An instructor can provide guidance with hands-on projects and explain the complexities of machine learning and other data science skills.

Learn Python for Machine Learning with Hands-on Training at Noble Desktop

Noble Desktop offers instructor-led courses that provide hands-on experience using Python for machine learning. You can take a specialized course such as the Python for Machine Learning course or learn this skill through the Data Science Certificate program. 

The Python for Machine Learning course requires students to have a strong foundation in Python programming and its data science libraries NumPy and Pandas prior to enrollment. If you do not have previous experience with Python programming, you can satisfy this prerequisite by first taking Noble’s Python for Data Science Bootcamp.

If you want to learn Python for machine learning as part of a broader curriculum, especially if you want to launch a new career in data science, the Data Science Certificate program covers essential skills in a single program. This program includes small classes, 1-on-1 mentoring, setup assistance, a free retake, flexible payment options, hands-on experience, and job search assistance.

Explore live online Python for machine learning classes that connect you to expert instructors for real-time feedback and guidance.