What is the difference between AI/ML/Data Science? What is the exact difference between each thing? What companies are expecting from those job profiles? Meet our mentor, Mr Kanth, on Instagram @meet_kanth ***Worried about how to start with AI Career?? https://www.bepec.in/the-enroute-to-ai-career *** For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form Machine Learning Job Requirement: Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions. Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement the solution on a Big Data platform. Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function. Ability to support and guide end-to-end model lifecycle management Create model documentation as per client/ regulatory standards Interested to look into Data Science Prototype - Click Here I hope you gonna through above Job Descriptions, Once cross-check whether you have the confidence to work on every point mentioned from above JD's?? Do you have a clear understanding of the Data Scientist lifecycle and his role in the company? Or you are just thinking about Statistics, Python, Machine Learning and Accuracies can help you get a job as Data Scientist?? To speak in interviews, you must have a proven portfolio on Data Science Projects to Showcase in your resume as well as to speak damn confident in interviews. If you are planning to learn a Data Science Program based on the above job requirements enroll for our Data Science Career Transition Program(YDSCT30) 30% Discount: https://www.bepec.in/data-science-career-transition

We're glad to release our second episode of Trainer vs AI Learner. Trainer vs AI Learner: We are planning to show a conversation between trainer vs AI Learner who is innocent, chill type, transparent and the high dreamer in AI Career. We all the see idle students but in every student's heart we can notice the chill side of it but we hide our emotions and move with the crowd. We need to say all the best for our trainer to handle such a student 😛😛😛. For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 ***Worried about how to start with AI Career?? https://www.bepec.in/the-enroute-to-ai-career *** About our Career Transition Programs, Co-Developed by Senior AI Engineers: Become a Machine Learning Engineer who can work from designing Machine Learning Solution Architecture, Data Understanding, Data Wrangling, Model Building, Model Evaluation and Model Deployment using Docker and Sagemaker Q & A Session from Recently Placed Participants: https://www.youtube.com/watch?v=wUy6YWXYQ9w&t=4s Get Free Course on “Statistics for Data Science Audio Book”: https://www.maaog.co.in/statistics-for-data-science-audio-book Read our Machine Learning CaseStudy on Fitness : https://www.maaog.co.in/machine-learning-casestudy-in-fitness_ebook Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form

#Machinelearning #datascience #artificialintelligence Meet our mentor Mr Kanth on instagram @meet_kanth Machine learning and Artificial intelligence been one of the best career's now. But when i'm working on six sigma after completion of mechanical engineering. 4 to 5 years back i came to know about machine learning, data science, artificial intelligence but doing to career transition 4 years back been pretty challenging very less resources and less understanding on what exactly data science? or what exactly machine learning? I can't figure out what exactly meant by machine learning algorithms, to say frankly i don't even know exact real time machine learning definition. To do career transition machine learning projects are important. but i don't know any machine learning projects. Learn how i faced all the challenges and made my career on artificial intelligence. Check out this interesting journey. The dawn of AI is upon us bringing even greater forms of automation into our lives. The world is concerned about what this new era might bring and all of this chatter brings uncertainty in nearly every field. All this to say that AI improvements will directly affect our ability to be creative as engineers. Let’s pull this attractive hype into reality with some real-world discussion. We from BEPEC are ready to help you and make you shift your career at any cost. For more details visit: https://www.bepec.in/ Bepec registration form : https://www.bepec.in/registration-form Check our youtube channel for more videos and please subscribe: https://www.youtube.com/channel/UCn1U... Check our Instagram page: https://instagram.com/bepec_solutions/ Check our Facebook Page : https://www.facebook.com/Bepecsolutions/ For any help or for any guidance please email enquiry@bepec.in

Data scientist positions at top tech companies allow for more specialization in a niche area and can also provide a great training ground, as many hire for internships and new grad positions We're glad to help every learner to transform his career into Data Science/AI. Thank you everyone for giving us landmark of 5000+ career transitions. For free call consultation on Data Science/AI Career Transitions ping our mentor Mr Kanth on instagram @meet_kanth Get Flat 30% Discount(YMLCT30) on your Machine Learning Career Transition Program: https://www.bepec.in/machinelearningcourse About our Career Transition Programs, Co-Developed by Senior AI Engineers: Become a Machine Learning Engineer who can work from designing Machine Learning Solution Architecture, Data Understanding, Data Wrangling, Model Building, Model Evaluation and Model Deployment using Docker and Sagemaker Q & A Session from Recently Placed Participants: https://www.youtube.com/watch?v=wUy6YWXYQ9w&t=4s Get Free Course on “Statistics for Data Science Audio Book”: https://www.maaog.co.in/statistics-for-data-science-audio-book Read our Machine Learning CaseStudy on Fitness : https://www.maaog.co.in/machine-learning-casestudy-in-fitness_ebook Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form ***Worried about how to start with AI Career?? https://www.bepec.in/the-enroute-to-ai-career *** For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 Let's look into what companies are looking for from Machine Learning. Machine Learning Job Requirement -1: Knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Machine Learning Job Requirement -2: Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions. Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement the solution on a Big Data platform. Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function. Ability to support and guide end-to-end model lifecycle management Create model documentation as per client/ regulatory standards Interested to look into Data Science Prototype - Click Here I hope you gonna through above Job Descriptions, Once cross-check whether you have the confidence to work on every point mentioned from above JD's?? Do you have a clear understanding of the Data Scientist lifecycle and his role in the company? Or you are just thinking about Statistics, Python, Machine Learning and Accuracies can help you get a job as Data Scientist?? To speak in interviews, you must have a proven portfolio on Data Science Projects to Showcase in your resume as well as to speak damn confident in interviews. If you are planning to learn a Data Science Program based on the above job requirements enroll for our Data Science Career Transition Program(YDSCT30) 30% Discount: https://www.bepec.in/data-science-career-transition

Most common interview question, how u choose the right ML algorithm?? Many factors control the process of choosing an algorithm. We can mainly divide your decision criteria into two sections, data-related aspects, and problem-related aspects. #machinelearning #machinelearningalgorithm The size, behavior, characteristics, and type of your data can give you the initial idea of what algorithm to use. Once you get this initial decision, different aspects of your problem will help you decide on a final decision. We're glad to help every learner to transform his career into Data Science/AI. Thank you everyone for giving us landmark of 5000+ career transitions. For free call consultation on Data Science/AI Career Transitions ping our mentor Mr Kanth on instagram @meet_kanth Get Flat 30% Discount(YMLCT30) on your Machine Learning Career Transition Program: https://www.bepec.in/machinelearningcourse About our Career Transition Programs, Co-Developed by Senior AI Engineers: Become a Machine Learning Engineer who can work from designing Machine Learning Solution Architecture, Data Understanding, Data Wrangling, Model Building, Model Evaluation and Model Deployment using Docker and Sagemaker Q & A Session from Recently Placed Participants: https://www.youtube.com/watch?v=wUy6YWXYQ9w&t=4s Get Free Course on “Statistics for Data Science Audio Book”: https://www.maaog.co.in/statistics-for-data-science-audio-book Read our Machine Learning CaseStudy on Fitness : https://www.maaog.co.in/machine-learning-casestudy-in-fitness_ebook Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form ***Worried about how to start with AI Career?? https://www.bepec.in/the-enroute-to-ai-career *** For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 Let's look into what companies are looking for from Machine Learning. Machine Learning Job Requirement -1: Knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Machine Learning Job Requirement -2: Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions. Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement the solution on a Big Data platform. Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function. Ability to support and guide end-to-end model lifecycle management Create model documentation as per client/ regulatory standards Interested to look into Data Science Prototype - Click Here I hope you gonna through above Job Descriptions, Once cross-check whether you have the confidence to work on every point mentioned from above JD's?? Do you have a clear understanding of the Data Scientist lifecycle and his role in the company? Or you are just thinking about Statistics, Python, Machine Learning and Accuracies can help you get a job as Data Scientist?? To speak in interviews, you must have a proven portfolio on Data Science Projects to Showcase in your resume as well as to speak damn confident in interviews. If you are planning to learn a Data Science Program based on the above job requirements enroll for our Data Science Career Transition Program(YDSCT30) 30% Discount: https://www.bepec.in/data-science-career-transition

Listed out Most frequently asked Data Science Interview Questions from our participants who got placed into various MNCs as Data Scientists and AI Engineers. Please benchmark your skills with those interview questions before appearing for an interview. All the best for every Data Science learner 😍 ✅For any guidance please contact Mr Kanth™️ at Instagram @meet_kanth✅ For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 About our Data Science Career Transition Programs, Co-Developed by Senior AI Engineers: Become a Data Scientist who can work from designing Machine Learning Solution Architecture, Data Understanding, Data Wrangling, Model Building, Model Evaluation and Model Deployment using Docker and Sagemaker Q & A Session from Recently Placed Participants: https://www.youtube.com/watch?v=wUy6YWXYQ9w&t=4s Get Free Course on “Statistics for Data Science Audio Book”: https://www.maaog.co.in/statistics-for-data-science-audio-book Read our Machine Learning CaseStudy on Fitness : https://www.maaog.co.in/machine-learning-casestudy-in-fitness_ebook Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form Let's look into what companies are looking for from Data Scientist. Data Scientist Job Requirement -1: Knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Every learner asks me why Data Scientists are getting highly paid? For working on python & pre-defined machine learning commands, machine learning is just 3 lines like train, test and evaluate. But why they are highly getting paid?? Is it true or just a hype? Check this video on why Data Scientists are getting highly paid. To understand the unexposed side of AI Career, Read this book https://www.bepec.in/the-enroute-to-ai-career For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 Meet our mentor Mr Kanth on instagram @meet_kanth Get Flat 30% Discount(YMLCT30) on your Machine Learning Program: https://www.bepec.in/machinelearningcourse About our Career Transition Programs, Co-Developed by Senior AI Engineers: Become a Machine Learning Engineer who can work from designing Machine Learning Solution Architecture, Data Understanding, Data Wrangling, Model Building, Model Evaluation and Model Deployment using Docker and Sagemaker Q & A Session from Recently Placed Participants: https://www.youtube.com/watch?v=wUy6YWXYQ9w&t=4s Get Free Course on “Statistics for Data Science Audio Book”: https://www.maaog.co.in/statistics-for-data-science-audio-book Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form

I'm here to showcase your weakness and convert them to strengths. Career transition is not just about teaching you the skill but making you think and act like Data Scientist or AI Engineer. I'm here to help you, to guide you, to support you until you achieve your goals as a mentor in your long journey of career transition. Join our Data Science & AI Career Transition Program @https://www.bepec.in/registration-form or dial +919121516181

Understand the real-time process of ML End-to-End Project like how we start a project based on business case, collect the data, understand the data, clean it based on project requirement, choosing the right algorithm, saving the model and deploying it. Check out entire video for preparing for interviews on Data Science, ML/AI. For free call consultation ping our mentor Mr Kanth on Instagram @meet_kanth For more video updates, subscribe our YouTube Channel: https://www.youtube.com/channel/UCn1USB9-5UqKJTSHd1JGcVw/?sub_confirmation=1 For free webinar on Data Science, ML/AI: https://www.bepec.in/registration-form Q & A Session from Recently Placed Participants: https://www.youtube.com/watch?v=wUy6YWXYQ9w&t=4s Machine Learning Job Requirement -1: 1. Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions. 2. Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement the solution on a Big Data platform. 3. Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function. 4. Ability to support and guide end-to-end model lifecycle management Create model documentation as per client/ regulatory standards 5. Interested to look into Data Science Prototype - Click Here I hope you gonna through above Job Descriptions, Once cross-check whether you have the confidence to work on every point mentioned from above JD's?? Do you have a clear understanding of the Data Scientist lifecycle and his role in the company? Or you are just thinking about Statistics, Python, Machine Learning and Accuracies can help you get a job as Data Scientist?? To speak in interviews, you must have a proven portfolio on Data Science Projects to Showcase in your resume as well as to speak damn confident in interviews. If you are planning to learn a Data Science Program based on the above job requirements enrol our Data Science Career Transition Program(YDSCT30) 30% Discount: https://www.bepec.in/data-science-career-transition Get Free Course on “Statistics for Data Science Audio Book”: https://www.maaog.co.in/statistics-for-data-science-audio-book Read our Machine Learning CaseStudy on Fitness: https://www.maaog.co.in/machine-learning-casestudy-in-fitness_ebook Take Free Webinar on Career Transition Programs: https://www.bepec.in/webinar-registration-form