#ml python

[nostalgebraist]

Due to recent experiences, I am feeling an urge to make an anti-drug-style PSA except it's warning impressionable machine-learning-curious teens to never, ever try a thing called "Huggingface transformers Trainer"

Not. Even. Once.

[myconetted]

python is my most used language and the one im most familiar with and it's usually quite nice but god there's some shit it really sucks at

types

imports

GIL

and you basically can't work around these things without a shitload of effort and sometimes a willingness to fork libraries

python also does not make it a pleasant affair to refactor to implement those workarounds

[fraoula1]

Python for Data Science: From Beginner to Expert – A Complete Guide!

Python has become the go-to language for data science, thanks to its flexibility, powerful libraries, and strong community support. In this video, we’ll explore why Python is the best choice for data scientists and how you can master it—from setting up your environment to advanced machine learning techniques.

🔹 What You'll Learn:

✅ Why Python is essential for data science

✅ Setting up Python and key libraries (NumPy, Pandas, Matplotlib) ✅ Data wrangling, visualization, and transformation

✅ Building machine learning models with Scikit-learn

✅ Best practices to enhance your data science workflow 🚀 Whether you're a beginner or looking to refine your skills, this guide will help you level up in data science with Python. 📌 Don’t forget to like, subscribe, and hit the notification bell for more data science and Python content!

[daveio]

AI to the rescue

Finding Gemini Code Assist really helpful recently.

I'm writing some Python (to read Mullvad configs and spit out Mikrotik scripts) and it's been a while.

It's dead helpful to have it jump in for small-scope operations that I can't remember the idiomatic Python for.

[just-my-insufferable-existance]

Haaaayyyyy programmer nerds. I just found out about Bend, which is this new(?) high level programing language for GPUs(?) that automagically handles multi-threading‽

I'll take a deep dive later. Maybe.

[grey-space-computing]

Deliver personalized user experiences with machine learning in your app. Understand your users better and give them exactly what they need. 🔗Learn more: https://greyspacecomputing.com/custom-mobile-application-development-services/  📧 Visit: https://greyspacecomputing.com/portfolio

[briskwinits]

Kickstart Your IT Career, Briskwin IT Solutions Is Hiring Freshers!

For more, visit: https://briskwinit.com/

[shreypost]

Started learning python today. Solved HackerRank questions and earned my first star

#Day1

[qisacdemyoffpage]

Kickstart Your Tech Career: Why Internships Are More Important Than Ever

In the rapidly changing digital economy we live in today, a degree no longer suffices. What truly makes you stand out is practical experience—and that's where internships fit in.

If you are a computer science or IT bachelor's or master's degree holder, applying for a Java internship for freshers can prove to be one of the best decisions you ever took. Java remains a basis of enterprise software, and hence it is extremely important to study Java for those who are interested in working on backend development, application security, or web systems with scalability. Internships provide freshers with hands-on experience in writing optimized code, debugging, version control, and project collaboration.

On the opposite end, the world of technology is also eager for developers who excel at everything. This is why an full stack web development internship is a first preference for future professionals. With these internships, you get exposed to frontend and backend technologies—HTML, CSS, JavaScript, React, Node.js, Express, MongoDB, etc.—and you become a jack-of-all-trades of the world.

But above all, it is not that these internships simply teach you how to code, but how they teach you how to work, manage teams, deadlines, and deployable applications that solve real problems.

From product companies to tech startups or freelance work, the hands-on experience you learn through a concerted internship can define your career path. Theory is fine to learn, but experience is what gets you ready for a job.

[topsinfosolutions]

Machine learning with Python has grown rapidly, thanks to its clear syntax and powerful tools. If you're planning to build ML models, choosing the right libraries can save you a lot of time and help you get better results. Here are some of the top Python libraries for ML that are commonly used by developers and data scientists:

[emiliamartin0101]

The Ultimate Guide to Choosing the Best AI and Machine Learning Certification Course

Artificial Intelligence (AI) and Machine Learning (ML) are no longer just buzzwords—they’re driving forces behind innovation in industries from healthcare to finance. Whether you're looking to advance your career, pivot into tech, or gain hands-on expertise, finding the best AI and ML certification course is your first crucial step.

With the growing number of online platforms and institutions offering certifications, making the right choice can feel overwhelming. Some focus on theory with little real-world application, while others skip fundamentals in favor of trendy tools. This guide breaks down what truly matters when selecting the best AI and ML certification course, so you can invest your time and money wisely.

Why Certification Matters in AI and ML

AI and ML are fast-evolving fields. Employers often look for candidates who not only understand algorithms but can also implement models, evaluate performance, and work with data in real-world environments. A well-designed certification does more than decorate your resume—it signals your capability to do the job.

Certifications can also help bridge the gap between academic knowledge and hands-on experience, especially for professionals transitioning from non-technical roles.

Key Features to Look for in the Best AI and ML Certification Course

Not all certifications are created equal. Here’s what to watch for when evaluating programs:

1. Comprehensive Curriculum

A solid program should start with the basics—linear regression, classification algorithms, and data preprocessing—and gradually move to deep learning, neural networks, and deployment techniques. Courses that only touch on high-level concepts may leave learners struggling when faced with practical challenges.

Look for a curriculum that reflects current industry needs. The best AI and ML certification course will cover both foundational theory and the latest tools, including Tensor Flow, PyTorch, Scikit-learn, and cloud platforms like AWS or Google Cloud.

2. Instructor Credentials and Teaching Style

The effectiveness of a course often depends on who’s teaching it. Instructors with real-world experience bring insights that go beyond textbooks. Check for credentials, industry background, and student feedback. Recorded previews or sample lessons can help gauge if their teaching style matches your learning preferences.

3. Hands-On Projects and Case Studies

Learning AI and ML without practical projects is like learning to swim by reading a manual. Choose a course that includes capstone projects, real-world datasets, and case studies across industries like finance, healthcare, and retail. The best AI and ML certification course will emphasize implementation, helping learners build a portfolio that showcases their skills.

Accreditation and Recognition

The credibility of a certification often depends on who’s backing it. University-affiliated programs or those offered through reputable platforms tend to hold more weight with employers. While not always necessary, an accredited certificate can set your resume apart in competitive job markets.

Also, consider industry-recognized names or partnerships—courses co-created with tech giants or taught by experts from leading universities tend to have stronger networks and alumni support.

Flexibility and Support

Time commitment and learning format matter. Do you need a self-paced course or thrive in a structured environment with deadlines? Some programs offer live sessions, peer discussion forums, or mentor support. This added guidance can be a game-changer, especially when tackling complex topics like neural networks or reinforcement learning.

The best AI and ML certification course adapts to different learning styles and provides timely feedback, helping students stay motivated and on track.

Who Should Enroll?

The good news is that AI and ML certification courses are now accessible to a wider range of learners. Whether you're a software developer, data analyst, recent graduate, or career changer, there's a course designed for your background and goals.

Beginners may benefit from programs with strong math and coding refreshers, while intermediate learners can opt for specialized tracks like Natural Language Processing or Computer Vision.

Midway through your research, it becomes clear that selecting the best AI and ML certification course isn’t just about name recognition—it’s about content quality, learning experience, and career applicability.

Conclusion: Making the Right Choice

Choosing the best AI and ML certification course can shape the future of your career. With thoughtful evaluation of content, flexibility, recognition, and value, you're more likely to find a program that not only teaches you but transforms your capabilities.

Remember, certifications aren't magic bullets—but the right one can open doors, sharpen skills, and give you the confidence to tackle real-world AI problems head-on.

Whether you're stepping into tech for the first time or leveling up your data science toolkit, the best AI and ML certification course is the one that equips you with practical skills, industry relevance, and long-term growth potential.

[tutorsindia152]

Looking to start your Artificial Intelligence and Machine Learning assignments the right way? This step-by-step PowerPoint presentation by Tutors India is your go-to guide for setting up a Python environment tailored for academic success. Learn how to install Python, Anaconda, Jupyter Notebook, and essential ML libraries like NumPy, pandas, TensorFlow, and scikit-learn. Ideal for students and researchers working on AI/ML projects, coding tasks, and dissertation-based programming. Get your environment ready and boost your grades with expert insights from Tutors India – Your Academic Partner.

[aiprompts123]

Unlock Creativity with an AI Prompt Service

In today’s fast-paced digital world, creativity and productivity go hand-in-hand. Whether you're a content creator, marketer, or student, an AI Prompt Service can revolutionize the way you generate ideas and complete tasks. These services use artificial intelligence to provide custom prompts tailored to your specific needs, helping you overcome writer’s block, brainstorm new concepts, or spark innovation in any project.

An AI Prompt Service works by analyzing your input or area of interest and producing smart, context-aware suggestions. From blog topics and product descriptions to email templates and social media captions, these services streamline the creative process and save valuable time.

One of the biggest advantages of using an AI Prompt Service is its versatility. You can request prompts for storytelling, academic writing, coding help, or even business strategies. The AI adapts quickly, learning from your preferences to improve over time.

Whether you're looking to enhance creativity or simply need a jumpstart, an AI Prompt Service provides reliable support with just a few clicks. As more professionals turn to AI tools, services that deliver high-quality, customizable prompts are becoming essential for staying competitive and efficient. Embrace the power of AI and let intelligent prompting elevate your work.

[sacredmindin]

The Sensor Savvy - AI for Real-World Identification Course

Enroll in The Sensor Savvy - AI for Real-World Identification Course and master the use of AI to detect, analyze, and identify real-world objects using smart sensors and machine learning.