10 Best In City, Blog Based Global Business Directory

Showing posts with label #google. Show all posts

Tuesday, 22 August 2023

Best Platforms for Securing Lucrative Remote Jobs

Best Platforms for Securing Lucrative Remote Jobs in 2023-24 🚀

Before delving into the where, let's first familiarize ourselves with the expected salaries for the roles you're pursuing.

Explore these ten high-earning positions with Anticipated Annual Salaries in the 2023-24 period 👇

📍 Data Scientist:

Projected Range: $100,000 to $150,000

📍 Machine Learning Engineer:

Projected Range: $120,000 to $180,000

📍 DevOps Engineer:

Projected Range: $110,000 to $150,000

📍 Cloud Solutions Architect:

Projected Range: $120,000 to $180,000

📍 Cybersecurity Specialist:

Projected Range: $90,000 to $130,000

📍 Full-Stack Developer:

Projected Range: $100,000 to $150,000

📍 Blockchain Developer:

Projected Range: $120,000 to $180,000

📍 Product Manager:

Projected Range: $100,000 to $150,000

📍 UX Designer:

Projected Range: $90,000 to $130,000

📍 Salesforce Developer:

Projected Range: $100,000 to $150,000

Here are the platforms where you can unearth high-paying remote roles 👇

✅ Remote.co: Land your next top-tier remote position through this job board, offering diverse opportunities across various industries.

✅ FlexJobs: Explore an abundance of well-paying remote positions on this platform, tailored for those seeking remote work.

✅ Upwork: Freelancers can discover and apply for remote roles across a spectrum of fields via this versatile platform.

✅ We Work Remotely: Concentrating on remote openings from startups and tech firms, this job board is a dedicated hub for remote prospects.

✅ Virtual Vocations, Inc.: Access a wide array of remote positions, including numerous high-earning choices, on this job board.

✅ Remote Okay: This reliable job board is a prime destination for remote job seekers, housing numerous high-paying roles.

✅ Remote Workers: Find a wide variety of remote jobs, including many high-paying ones, on this job board.

✅ Pangian: Catering exclusively to remote work, this job board presents an array of high-paying opportunities.

✅ Working Nomads: Explore a diverse collection of remote jobs, many of which boast generous compensation, on this platform.

✅ Skip The Drive LLC: Specializing in remote work, this job board features a range of well-paying positions.

✅ Remotive - Remote Jobs: This comprehensive job board enlists a wide range of remote roles, often with competitive remuneration.

✅ Jobspresso: Discover your ideal remote job on this platform, featuring numerous high-paying prospects.

✅ DailyRemote: Offering a comprehensive selection of remote jobs, including many high-paying options, this job board is a valuable resource.

✅ PowerToFly: This platform extends work-from-home opportunities to women. Follow their site's guidelines to access rewarding remote roles.

Stay tuned for additional job search advice!

Share with your network to assist fellow job seekers 🤝

@google, @microsoft, @amazon, @apple, @facebook,

#humanresources, #google, #microsoft, #amazon, #apple, #facebook, #jobsearch #opentowork #networkingtips #linkedintips #networking #entrepreneurship #india #technology #careers #startups #interview #job #recruitment #careers #openfornewopportunities #hiringengineers #softwareengineerjobs #jobopportunites #jobseekers #linkedin #recruiters #jobs

Monday, 21 August 2023

Empowering Women on LinkedIn: A Journey Towards Success

Empowering Women on LinkedIn: Unleashing Potential, Transforming Lives

Championing Women's Empowerment on LinkedIn

In collaboration with AlfaBloggers.com and 10BestInCity.com, we present a groundbreaking initiative to empower women on LinkedIn and beyond. Welcome to the Gen X Program for LinkedIn Women's Empowerment, a transformative opportunity for LinkedIn influencers and aspiring professionals to elevate their careers from the comfort of their homes. 🌟👩‍💼🌐

Are You Ready to Elevate Your Earnings and Expand Your Horizons?

Discover the Distinction Together! 💰💡👩‍💻

Unlock the Potential of LinkedIn, Linktr.ee, and Google Blogs with AlfaBloggers.com and 10BestInCity.com. Join the ranks of successful individuals who are capitalizing on the power of online work-from-home opportunities. This program offers a streamlined path for growth through comprehensive online training and tools provided by accomplished LinkedIn influencers.

Our Esteemed Faculty: 10 LinkedIn Influencers, 2 Super LinkedIn Experts

Learn the Trade Secrets and Strategies that Drive Success in the Digital Age. Our team of 10 LinkedIn influencers and 2 super LinkedIn experts is dedicated to mentoring and guiding you on your journey to becoming an expert in your field. This program is designed to transform you into a proficient professional, primed for success in the world of Abc-XyzTech.com.

Dedication Rewarded: Your Path to Earning

Commit yourself to a minimum of 10-12 hours per day, allocating about 1 hour per domain. Secure 6-10 different tech domain names to harness the potential for earnings ranging from approximately $600 to $1000, averaging around $100 per domain. After publishing your blogs, devote 30-45 minutes to core content development and 10-15 minutes to blog promotion each day.

Simplify Success: Aviators, Bloggers, Professionals Unite

Whether you're an Aviator, Blogger, CA, CS, Doctor, or a LinkedIn creator, this opportunity is tailored for you. Craft 6-10 Blogs daily and strategically promote them across all Social Media Platforms. Consistency and productivity are the cornerstones of this distinctive work-from-home endeavor.

Setting the Course for Success

The path to prosperity begins with focused goals. Instead of waiting for financial stability, take action and create value for others. "Your compensation is directly proportional to the value of your work in the online market." Commit to delivering exceptional value and watch your financial journey take flight.

A Bright Future Awaits

The road might be challenging, but the destination is well worth it. Remember, what seems impossible today can become your reality tomorrow.

Equipping You with Powerful Tools

Tech Dot Com Companies: Real-Life Examples

Explore a multitude of domains combining technology with various fields, such as aviation, blogging, education, finance, and more. These real-life examples provide a springboard for your success.

Sample Linktr.ee Profiles

Navigate the world of Linktr.ee with sample profiles from leading professionals. Learn how to optimize your online presence for maximum impact.

Harnessing Google's Arsenal

Access a toolkit for success with Google's SEO, SMM, and website resources. Elevate your online visibility and expand your reach with these proven techniques.

Let's Reach for the Stars

Aspire to greatness and work intelligently to transform your dreams into reality. Remember, setting goals is the first step towards achieving success. Join us on this empowering journey and turn your aspirations into accomplishments.

https://www.10bestincity.com/2023/08/empowering-women-on-linkedin-journey.html

#SettingGoalsForSuccess

#EmpoweringWomen

#LinkedInEmpowerment

#CareerAdvancement

Let's aim high and Work Smart to turn our Dreams into Reality!

#SetGoalsGetSuccess,

#management, #projectmanagement, #Google, #free, #linkedin, #linkedinpost, #freecourses, #connections,

Sunday, 28 May 2023

10 Best Machine Learning Courses

Here is a list of some popular Machine Learning courses:

"Machine Learning" by Andrew Ng on Coursera

"Deep Learning Specialization" by Andrew Ng on Coursera

"Applied Data Science with Python Specialization" by University of Michigan on Coursera

"Practical Deep Learning for Coders" by fast.ai

"Convolutional Neural Networks for Visual Recognition" (CS231n) by Stanford University

"Natural Language Processing with Deep Learning" (CS224n) by Stanford University

"Advanced Machine Learning Specialization" by National Research University Higher School of Economics on Coursera

"Deep Learning Specialization" by deeplearning.ai on Coursera

"Machine Learning for Trading" by Georgia Institute of Technology on Udacity

"Machine Learning" by Georgia Institute of Technology on Udacity

These courses cover a range of topics in Machine Learning, including foundational concepts, deep learning, natural language processing, computer vision, and applied data science. Remember to check the prerequisites and course syllabus to find the one that aligns best with your interests and skill level.

Here are ten highly regarded Machine Learning courses that can help you build a strong foundation in the field:

"Machine Learning" by Andrew Ng on Coursera: This is a popular introductory course that covers the basics of Machine Learning and is highly recommended for beginners.

"Deep Learning Specialization" by Andrew Ng on Coursera: This specialization consists of five courses that delve deeper into deep learning and its applications, including neural networks, convolutional networks, recurrent networks, and more.

"CS229: Machine Learning" by Stanford University: This is a graduate-level course that covers a wide range of Machine Learning topics and algorithms. Lecture notes and video recordings are available online for free.

"Applied Data Science with Python" by the University of Michigan on Coursera: This specialization introduces the basics of data science and covers various Machine Learning techniques using the Python programming language.

"Machine Learning A-Z™: Hands-On Python & R In Data Science" on Udemy: This comprehensive course covers both the theoretical concepts and practical applications of Machine Learning using Python and R.

"Practical Deep Learning for Coders" by fast.ai: This practical course is designed to teach deep learning concepts using a hands-on approach. It covers topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more.

"Convolutional Neural Networks for Visual Recognition" by Stanford University: This course focuses specifically on computer vision and deep learning techniques used in image classification, object detection, and image understanding.

"Pattern Recognition and Machine Learning" by Christopher Bishop: This book serves as an excellent reference for understanding the principles and algorithms behind Machine Learning and pattern recognition.

"Reinforcement Learning" by David Silver on YouTube: This series of video lectures provides a comprehensive introduction to reinforcement learning, including Markov decision processes, dynamic programming, and Q-learning.

"Natural Language Processing with Deep Learning" by Stanford University: This course explores the application of deep learning techniques to natural language processing tasks such as sentiment analysis, text generation, and machine translation.

These courses cover a wide range of Machine Learning topics and can help you gain a solid understanding of the field. Remember to explore and choose the ones that align with your specific interests and goals.

1. Machine Learning Basics

🔗https://lnkd.in/d-rjVx4i

2. Machine Learning Introduction for Everyone

🔗https://lnkd.in/d_VQmN8D

3. IBM Machine Learning Professional Certificate

🔗https://lnkd.in/dsTXBP2P

4. Machine Learning for All

🔗https://lnkd.in/dPbZCgxv

5. Introduction to Machine Learning on AWS

🔗https://lnkd.in/dtmGn9GQ

6. Machine Learning with Python

🔗https://lnkd.in/dWBK3MMf