Laptop for data science and machine learning

We recommend and review some laptops/notebooks suitable for data science and machine learning.

Firstly, we state the 4 core important specs (specifications) for laptops for data science and machine learning.

1) RAM: Should be 8GB or higher.

2) CPU: Should be Intel Core i5, or even better Intel Core i7.

3) Storage: Should be at least 256 GB SSD.

4) GPU: Optional, but good to have for deep learning. (Note that Mac GPUs are not usable for deep learning.)

RAM and CPU are necessary in order to conduct computations successfully and within a reasonable time. Storage is necessary to process big data which can potentially be several gigabytes. GPU is useful to speed up deep learning, but is optional since there are many cloud or server options available.

For concrete recommendations, we recommend the following 5 laptops. Certainly, there could be other laptops that are equally suitable for data science and machine learning, do comment below if you have a good suggestion!

1)

ASUS ROG Strix Scar 17 Gaming Laptop, 17.3” 300Hz FHD IPS Type, NVIDIA GeForce RTX 2070 Super, Intel Core i7-10875H, 16GB DDR4, 1TB PCIe SSD, Per-Key RGB Keyboard, Wi-Fi 6, Windows 10, G732LWS-DS76

2)

Dell XPS 15 7590 Laptop 15.6 inch, 4K UHD OLED InfinityEdge, 9th Gen Intel Core i7-9750H, NVIDIA GeForce GTX 1650 4GB GDDR5, 256GB SSD, 16GB RAM, Windows 10 Home, XPS7590-7572SLV-PUS, 15-15.99 inches

3)
New Apple MacBook Pro (16-inch, 16GB RAM, 512GB Storage, 2.6GHz Intel Core i7) – Space Gray

4)

2020 Lenovo ThinkPad T590 15.6″ FHD Full HD (1920×1080) Business Laptop (Intel Quad-Core i7-8565U, 16GB RAM, 512GB SSD) Backlit, Type-C Thunderbolt 3, RJ-45, Webcam, Windows 10 Pro IST Computers

5)
HP Pavilion 15-inch Laptop, Intel Core i7, 16 GB RAM, 512 GB SSD Storage, Intel Iris Plus Graphics, Windows 10 Pro, Amazon Alexa Voice Compatible (15-cs3019nr, Mineral Silver)

Best Udemy Data Science / Machine Learning / AI Courses

During this current lockdown period it is a good idea to pick up a data science skill. Most occupations can benefit from such a skill, including engineers, accountants, teachers, even students. Who knows, one day you may find deep learning useful!

In this page we introduce various Udemy courses (which come with certificates that you can put on your LinkedIn profile) that are the best in their class, be it for data science, machine learning (including deep learning), and AI (Artificial Intelligence).

Best Udemy Python Course

Currently, Python is the most popular language for data science and machine learning.  R is the second most popular language, and is especially good for statistics.

Hence, this Machine Learning A-Z™: Hands-On Python & R In Data Science Course is perfect as it introduces two of the most popular programming languages in one course! You will learn Machine Learning (ML) in the process as well, which is a great bonus.

If you only want to focus on Python, then check out 2020 Complete Python Bootcamp: From Zero to Hero in Python. It is designed to bring you from zero knowledge to a respectable expert in Python if you complete the course and exercises.

Best Udemy courses for data science

In the Python for Data Science and Machine Learning Bootcamp  course, students can learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! The aforementioned packages are all classic and popular in data science, data analysis and data visualization.

The Data Science Course 2020: Complete Data Science Bootcamp is another bootcamp style course that gives you complete Data Science training in: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning. It is especially suitable for beginners, as well as intermediate students who need to brush up on their skills.

Best Udemy course for Deep Learning

Deep learning (DL) is a subbranch of machine learning that is recently very hot and popular due to its superior accuracy in tasks such as image classification and NLP (natural language processing).

The Deep Learning A-Z™: Hands-On Artificial Neural Networks allows students to learn how to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included, which is very important. Essentially, you can use and modify the templates to suit your individual task at hand.

Complete Guide to TensorFlow for Deep Learning with Python is a course for learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques! TensorFlow is one of the more popular deep learning framework, and is slightly ahead in popularity compared to its closest rival, PyTorch.

Udemy course benefits

The first benefit of Udemy courses, is that you get to learn content from the top trainers. Often, these courses are superior to free YouTube content, and may be even better than the courses in your school.

The second benefit is that Udemy provides a certificate upon completion that you can list in your CV, as well as put in your LinkedIn profile. This is especially important if you are trying to transition into a data scientist job from another field, like engineering or physical sciences.

What is your favorite Udemy course for AI/ML/DL? Feel free to comment below!