Learn Tech With Isha

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐈𝐝𝐞𝐚𝐬 𝐭𝐨 𝐁𝐨𝐨𝐬𝐭 𝐘𝐨𝐮𝐫 𝐑𝐞𝐬𝐮𝐦𝐞 https://www.linkedin.com/posts/isharanimicrosoftleader_machinelearning-ai-artificialintelligence-activity-7176775595115126784-xZtz

Python and Machine Learning - https://www.linkedin.com/posts/isharanimicrosoftleader_machinelearning-ai-artificialintelligence-activity-7176422177804546048-y3nT

Here is an interesting topic of discussion today.. 𝐒𝐎𝐋𝐈𝐃 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 ! Read through it and share your understanding/insights/experience/examples 🙌 𝐒𝐢𝐧𝐠𝐥𝐞 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 (𝐒𝐑𝐏): A class should only have one reason to change. This means that each class should be focused on a single task and do it well. 𝐎𝐩𝐞𝐧/𝐂𝐥𝐨𝐬𝐞𝐝 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 (𝐎𝐂𝐏): Software should be open for extension, but closed for modification. This means that we should be able to add new features to our software without having to change existing code. 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 𝐒𝐞𝐠𝐫𝐞𝐠𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 (𝐈𝐒𝐏): Client classes should not be forced to depend on interfaces that they don't use. This means that we should create specialised interfaces for each client, so that they only have to depend on the methods that they need. 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 𝐈𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 (𝐃𝐈𝐏): High-level modules should not depend on low-level modules. Both should depend on abstractions. This means that we should decouple our code so that the high-level modules don't have to know about the details of the low-level modules. 𝐋𝐢𝐬𝐤𝐨𝐯 𝐒𝐮𝐛𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 (𝐋𝐒𝐏): Subtypes should be substitutable for their base types without breaking the program. This means that we should be able to use a subclass in place of its parent class without causing any problems. SOLID principles are important because they help us to write code that is more maintainable, scalable, and adaptable. Code that follows SOLID principles is easier to add new features to, fix bugs in, and test. It is also less likely to break when we make changes to it.

Microservices Deep Dive https://www.linkedin.com/posts/isharanimicrosoftleader_microservices-api-activity-7175318828355125248-4lZv

Find The Right Vision for Yourself:) https://www.linkedin.com/posts/isharanimicrosoftleader_ai-machinelearning-artificialintelligence-activity-7175527801838518272-E2hb

find the right vision for yourself:) https://www.linkedin.com/posts/isharanimicrosoftleader_ai-gpus-innovation-activity-7175525022638239744-smBL

Free Learning Resources ! ❯ Python http://mygreatlearning.com/academy/learn-for-free/courses/python-fundamentals-for-beginners ❯ Pandas http://kaggle.com/learn/pandas ❯ Numpy, scikit-learn http://simplilearn.com/learn-python-basics-free-course-skillup ❯ Data Science http://cognitiveclass.ai/courses/python-for-data-science ❯ Database http://freecodecamp.org/learn/scientific-computing-with-python/ ❯ Data Visualization http://kaggle.com/learn/data-visualization ❯ Data Analysis http://openclassrooms.com/en/courses/2304731-learn-python-basics-for-data-analysis ❯ AI http://simplilearn.com/learn-ai-basics-skillup ❯ Machine Learning http://simplilearn.com/learn-machine-learning-algorithms-free-course-skillup ❯ Deep Learning (TensorFlow) http://kaggle.com/learn/intro-to-deep-learning ❯ Django openclassrooms.com/en/courses/6967196-create-a-web-application-with-django ❯ Flask mygreatlearning.com/academy/learn-for-free/courses/flask-python ❯ Design Pattern openclassrooms.com/en/courses/6900866-write-maintainable-python-code ❯ DSA mygreatlearning.com/academy/learn-for-free/courses/linked-list-in-python ❯ Testing openclassrooms.com/en/courses/7747411-test-your-python-project ❯ Debugging openclassrooms.com/en/courses/7744266-debug-your-python-project

68 Python notebook exercises for Understanding Deep Learning : https://udlbook.github.io/udlbook/

ML Tools https://www.linkedin.com/posts/isharanimicrosoftleader_machinelearning-ai-artificialintelligence-activity-7172602276027596800-zHKj

happy Women’s Day Beautiful Girls🎉🎉 https://www.linkedin.com/posts/isharanimicrosoftleader_who-is-behind-a-mans-success-a-woman-activity-7171686084689510400-NjQz?utm_source=share&utm_medium=member_ios

AI replacing programmers would love to hear thoughts from my TG community in this :) see what leaders are saying 🙌 https://www.linkedin.com/posts/isharanimicrosoftleader_ai-programming-techindustry-activity-7170782098100793344-PuiR

How can you build your brand? Here are some tips to consider. Read through it and share your understanding/insights/experience/examples in comments 🙌 - Consistency is key! Regularly creating and sharing valuable content can help maintain audience engagement and establish you as a thought leader. - Engage with your audience by responding to comments, answering questions, and actively participating in online communities. This can help foster connections and build relationships. - Don't forget to track your progress! Use website analytics, social media insights, and other relevant data to understand what resonates with your audience and adapt your approach accordingly. Remember, building a strong brand takes time and effort. By staying consistent, engaging with your audience, and tracking your progress, you can establish yourself as a trusted voice in your industry.

Here is an interesting topic of discussion today..Read through it and share your understanding/insights/experience/examples in comments 🙌 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 Deployment 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬, 𝐞𝐚𝐜𝐡 𝐰𝐢𝐭𝐡 𝐢𝐭𝐬 𝐨𝐰𝐧 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬 𝐚𝐧𝐝 𝐰𝐞𝐚𝐤𝐧𝐞𝐬𝐬𝐞𝐬: 1. 𝐀𝐥𝐥-𝐚𝐭-𝐨𝐧𝐜𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Pros: Simple and quick to implement. Cons: High risk of significant downtime and potential for major disruptions if issues arise. Best suited for: Low-risk, non-critical applications with extensive testing. 2. 𝐑𝐨𝐥𝐥𝐢𝐧𝐠 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Pros: Minimizes downtime by gradually introducing the new version to users. Cons: May take longer to complete the update. Best suited for: Applications where downtime is a concern but not catastrophic. 3. 𝐁𝐥𝐮𝐞/𝐆𝐫𝐞𝐞𝐧 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Pros: Minimizes downtime and offers a rollback option by switching back to the previous environment. Cons: Requires double the resources for the duplicate environment. Best suited for: Critical applications where downtime is unacceptable. 4. 𝐂𝐚𝐧𝐚𝐫𝐲 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Pros: Lowers risk by releasing the new version to a small subset of users first, allowing for early detection of issues. Cons: May not catch all issues that could arise with a larger user base. Best suited for: Applications with frequent updates or high uncertainty about new versions. 5. 𝐀/𝐁 𝐓𝐞𝐬𝐭𝐢𝐧𝐠: Pros: Helps you choose the best performing version by testing different versions with a limited audience. Cons: Not strictly a deployment strategy, but can be useful before rolling out a new version. Best suited for: Testing new features or user interface changes. I posted in detail on Linkedin today, refer to that to understand better and draft your ideas 👍 https://www.linkedin.com/in/isharanimicrosoftleader

Here is an interesting topic of discussion today..Read through it and share your understanding/insights/experience/examples in comments 🙌 API Gateway, Load Balancer, and Reverse Proxy are essential technologies that work together to make our online experiences smooth and secure. An API Gateway serves as a gatekeeper for APIs and manages access, usage, and integration between them. A Load Balancer distributes traffic across multiple servers to ensure websites run smoothly, while a Reverse Proxy protects them from attacks and improves performance. By using all three technologies, businesses can create a strong infrastructure for web applications. For instance, API Gateway can manage and secure APIs, Load Balancer can distribute traffic, and Reverse Proxy can add additional security and performance features. I posted in detail on Linkedin today, refer to that to understand better and draft your ideas 👍

Hi Everyone, How's your day.

Three 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 from Bill Gates https://www.linkedin.com/posts/isharanimicrosoftleader_three-%3F%3F%3F%3F%3F%3F%3F%3F-%3F%3F%3F%3F%3F%3F%3F%3F%3F-activity-7169007053842173952-vfa4

Reinforcement Learning https://www.linkedin.com/posts/isharanimicrosoftleader_reinforcement-learning-activity-7168785320921034752-3oWv

Expedia laidoff 1500 folks, I worked there so I know about tge talent..its not easy to get in there, anyone working at Expedia can be assumed good talent. If you know anyone who got impacted there and need help, tell them to reach me. I am building a support system for them, hope it would help them.

𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 https://www.linkedin.com/posts/isharanimicrosoftleader_deep-learning-activity-7168427187753222144-Fr8J